JP2000276595A - Device and method for evaluating binocular stereoscopic image, and recording medium - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a binocular stereoscopic image evaluating device and a binocular stereoscopic image evaluating method which present images being independent of left and right eyes and evaluate the binocular stereoscopic image quality giving a three-dimensional effect with high accuracy and to provide a recording medium. SOLUTION: This binocular stereoscopic image evaluating device 1 fetches an images for left and right eyes from an image inputting part, a both eye correspondence area extracting part 3 extracts a prescribed number of area pair groups observed as one object respectively when observed by the both eyes, and a physical characteristic quantity converting part 4 converts the physical characteristic quantity of these area pairs into other physical characteristic quantity independently in the left and right eyes. In the device 1, a monocular vision image evaluation value calculating part 5 respectively calculates monocular vision image evaluation values from the physical characteristic quantity of an image for the left and right eyes by using human visual characteristic, an inter-image operating part 6 also converts them into one physical characteristic quantity distribution, a binocular vision image evaluation value calculating part 7 subsequently performs an operation with the human visual characteristic considered to calculate a binocular vision image evaluation value, and a binocular stereoscopic image evaluation value calculating part 8 calculates a binocular stereoscopic image evaluation value from the monocular vision image evaluation value and the binocular vision image evaluation value.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

The present invention relates to a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium.
In detail, the binocular which evaluates the image quality of an image region which needs to be observed by both eyes in order to perceive a binocular stereoscopic image which presents an image independent to the left and right eyes and gives a viewer a stereoscopic effect. The present invention relates to a stereoscopic image evaluation device, a binocular stereoscopic image evaluation method, and a recording medium.

[0002]

2. Description of the Related Art Recently, in the information-oriented society, images presented to humans have changed from black-and-white images to color images and further to stereoscopic images, and have been diversified.

[0003] It is known that such images need to be appropriately evaluated before they are generally presented, and various evaluation techniques have been conventionally proposed.

For example, the density variance value is measured by changing the size of the measurement area and compared with the judgment reference value, and the judgment criterion value for each measurement area is automatically determined from the density variance value for each measurement area during non-defective measurement. There has been proposed an image quality inspection apparatus for creating and registering an image (see JP-A-8-29125).

The purpose of this image inspection apparatus is to determine the image quality failure of the density unevenness based on a criterion close to that of a human, and to learn and appropriately select the criterion to improve the inspection accuracy.

Conventionally, image information of an evaluated image is converted into spatial frequency distribution information, and the spatial frequency distribution information is filtered and corrected by a function representing a spatial frequency characteristic of a human visual system according to an observation parameter. An image evaluation method for calculating an image evaluation value from image information obtained by inverse transformation has been proposed (see Japanese Patent Application Laid-Open No. 9-153136).

According to this image evaluation method, when the spatial frequency distribution information of the image to be evaluated is corrected by a function representing the spatial frequency characteristics of the human visual system, filtering correction is performed with an optimum function according to observation conditions. It is intended to perform objective and reliable image quality evaluation consistent with subjective evaluation.

That is, all of the above descriptions basically aim at how to quantify a secondary original image for a two-dimensional image and perform image evaluation similar to human visual evaluation.

[0009]

However, in such a conventional image evaluation method and apparatus, any of
It is intended for two-dimensional images and cannot be applied to image quality evaluation of binocular stereoscopic images.

[0010] Now that many binocular stereoscopic images are appearing, it is desired to evaluate the binocular stereoscopic images appropriately and accurately. In particular, in a binocular stereoscopic image that presents an independent image to the left and right eyes to give a stereoscopic effect to the observer, for evaluating the image quality of an image area that requires observation by both eyes to perceive, The above-described conventional image evaluation method and image evaluation apparatus have a problem that the image quality cannot be appropriately evaluated.

Therefore, the invention according to claim 1 presents an image for the left eye and an image for the right eye to the left and right eyes independently, and observes the object three-dimensionally by utilizing the binocular stereoscopic function of the observer. The left and right binocular images of the binocular stereoscopic image to be input are input, and the evaluated image is observed from the left and right binocular images as the same object on a pseudo plane different from the actual image presentation surface. The physical characteristic amounts of the images for the left and right eyes are extracted independently, and the monocular image evaluation values are independently obtained from the extracted physical characteristic amounts for the left and right eyes using the predetermined visual characteristics of the human for the left and right eyes. Is calculated, and an inter-image operation is performed on the extracted physical characteristic amount to obtain one piece of image information. Then, using the image information obtained by the inter-image operation and predetermined human visual characteristics, The binocular image evaluation value is calculated, and the monocular image evaluation value and the binocular image are calculated. Evaluate the image quality of the input image by calculating the binocular stereoscopic image evaluation value using the image evaluation value, and evaluate the image quality of the binocular stereoscopic image in which the perception by a single eye and the perception by both eyes are mixed. It is an object of the present invention to provide a binocular stereoscopic image evaluation apparatus capable of calculating values with high accuracy and evaluating the image quality of a binocular stereoscopic image with high accuracy.

According to a second aspect of the present invention, by using a visual characteristic corresponding to color information as a human visual characteristic,
It is possible to calculate an image quality evaluation value of a binocular stereoscopic image that can be observed including not only luminance information but also color information with high accuracy, and evaluate the image quality of the binocular stereoscopic image with higher accuracy. It is an object to provide a binocular stereoscopic image evaluation device.

According to a third aspect of the present invention, a human visual characteristic corresponding to at least one piece of optical attribute information is selected from human visual characteristics corresponding to a plurality of pieces of optical attribute information, and a binocular stereoscopic image is selected. By using the selected human visual characteristics as the human visual characteristics to be used in the evaluation, the method of presenting the binocular stereoscopic image can be performed, for example, by using optical filters having different spectral transmittances for the left and right eyes and the observed image. , A color filter system arranged on the optical path between them, a polarizing glasses system arranged optical filters having different polarization directions on the optical path between the left and right eyes and the image to be observed, and alternately on / off alternately in a short time The optics necessary for the calculation of binocular stereoscopic image evaluation differ from time-based equations in which the transmission and non-transmission of image information for the left and right eyes are switched in synchronization with the presentation of images for the left and right eyes. In the case where the attribute information is different, it is possible to appropriately cope with the problem and calculate the image quality evaluation value of the binocular stereoscopic image with high versatility with high accuracy, thereby improving the image quality of the binocular stereoscopic image. It is an object of the present invention to provide a binocular stereoscopic image evaluation device capable of performing evaluation with higher accuracy.

According to a fourth aspect of the present invention, by using the one corresponding to the time characteristic as the human visual characteristic,
The image is displayed on a display system that repeats blinking in a short time, such as a cathode ray tube (CRT) or movie,
Even in the case of being presented by a temporal image presentation system in which images presented are separated and observed by filters for the left and right eyes that alternately turn on / off alternately, even a flicker that is a repetition of a short period of light and dark can be performed. Calculates the evaluation value of the image quality of the binocular stereoscopic image in consideration of the temporal characteristics of human vision, and improves the image quality of the binocular stereoscopic image with higher accuracy without being affected by flicker and the like. It is an object of the present invention to provide a binocular stereoscopic image evaluation device that can be evaluated.

According to a fifth aspect of the present invention, the left-eye image and the right-eye image are independently presented to the left and right eyes, and the object is stereoscopically viewed using the binocular stereoscopic function of the observer. The left and right binocular images of the stereoscopic image are input, and the left and right images of the evaluated image observed as the same object on a pseudo plane different from the actual image presentation surface from the left and right binocular images are input. The physical property values of the images for both eyes are extracted independently, and the monocular image evaluation value is calculated independently from the extracted physical property values for the left and right eyes using the predetermined visual characteristics of the human for both the left and right eyes. Then, after performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, the binocular image is obtained using the image information obtained by the inter-image operation and a predetermined human visual characteristic. The visual image evaluation value is calculated, and the monocular image evaluation value and the binocular image evaluation value are calculated. Calculates a binocular stereoscopic image evaluation value using the value, by evaluating the image quality of the input image,
A binocular stereoscopic image that can accurately calculate an image quality evaluation value of a binocular stereoscopic image in which monocular perception and binocular perception are mixed, and evaluate the image quality of the binocular stereoscopic image with high accuracy It aims to provide an evaluation method.

According to a sixth aspect of the present invention, a visual characteristic corresponding to color information is used as a human visual characteristic.
It is possible to calculate an image quality evaluation value of a binocular stereoscopic image that can be observed including not only luminance information but also color information with high accuracy, and evaluate the image quality of the binocular stereoscopic image with higher accuracy. An object of the present invention is to provide a binocular stereoscopic image evaluation method.

According to a seventh aspect of the present invention, a human visual characteristic corresponding to at least one piece of optical attribute information is selected from human visual characteristics corresponding to a plurality of optical attribute information, and a binocular stereoscopic image is selected. By using the selected human visual characteristics as the human visual characteristics used in the evaluation, the method of presenting a binocular stereoscopic image is different, for example, a color filter method, a polarizing glasses method, a temporal method, etc. It is possible to appropriately cope with the case where the optical attribute information necessary for the calculation of the binocular stereoscopic image evaluation is different, and to accurately evaluate the image quality evaluation value of the versatile binocular stereoscopic image. It is an object of the present invention to provide a binocular stereoscopic image evaluation method that can calculate and evaluate the image quality of a binocular stereoscopic image with higher accuracy.

The invention according to claim 8 uses the one corresponding to the time characteristic as the human visual characteristic,
Even when the image is presented by the temporal image presentation method, the image quality evaluation value of the binocular stereoscopic image in consideration of the temporal characteristics of human vision for flicker and the like is calculated,
An object of the present invention is to provide a binocular stereoscopic image evaluation method capable of evaluating the image quality of a binocular stereoscopic image with higher accuracy without being affected by flicker or the like.

According to a ninth aspect of the present invention, an image for the left eye and an image for the right eye are independently presented to the left and right eyes, and the object is stereoscopically viewed using the binocular stereoscopic function of the observer. The left and right binocular images of the stereoscopic image are input, and the left and right images of the evaluated image observed as the same object on a pseudo plane different from the actual image presentation surface from the left and right binocular images are input. The physical property values of the images for both eyes are extracted independently, and the monocular image evaluation value is calculated independently from the extracted physical property values for the left and right eyes using the predetermined visual characteristics of the human for both the left and right eyes. Then, after performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, the binocular image is obtained using the image information obtained by the inter-image operation and a predetermined human visual characteristic. The visual image evaluation value is calculated, and the monocular image evaluation value and the binocular image evaluation value are calculated. By calculating a binocular stereoscopic image evaluation value using the values and recording a program for evaluating the image quality of the input image on a recording medium readable by an information processing device such as a computer, the information processing device such as a computer A recording that can accurately calculate the image quality evaluation value of a binocular stereoscopic image in which perception by a single eye and perception by both eyes are mixed using, and evaluate the image quality of the binocular stereoscopic image with high accuracy It is intended to provide a medium.

According to a tenth aspect of the present invention, a program using a visual characteristic corresponding to color information as a human visual characteristic is recorded on a recording medium. Provided is a recording medium capable of calculating an image quality evaluation value of a binocular stereoscopic image that can be observed including color information with high accuracy and evaluating the image quality of the binocular stereoscopic image with higher accuracy. It is intended to be.

According to an eleventh aspect of the present invention, a human visual characteristic corresponding to at least one piece of optical attribute information is selected from human visual characteristics corresponding to a plurality of pieces of optical attribute information, and a binocular stereoscopic image is selected. By recording a program using the selected human visual characteristic as a human visual characteristic to be used in the evaluation on a recording medium, using an information processing device such as a computer, a method for presenting a binocular stereoscopic image is, for example, Even if the optical attribute information required for the calculation of the binocular stereoscopic image evaluation is different, such as a color filter method, a polarized glasses method, a temporal method, etc., it is possible to appropriately cope with the versatility. It is an object of the present invention to provide a recording medium capable of calculating an image quality evaluation value of a rich binocular stereoscopic image with high accuracy and evaluating the image quality of the binocular stereoscopic image with higher accuracy. It is set to.

According to a twelfth aspect of the present invention, by recording a program using a human visual characteristic corresponding to a time characteristic on a recording medium, an image can be converted to a CRT or a CRT using an information processing device such as a computer. Even in the case of being displayed on a display system that repeats blinking in a short time such as a movie and presented by a time-dependent image presentation method, binocular stereovision that takes into account the temporal characteristics of human vision for flicker and the like is also considered. An object of the present invention is to provide a recording medium capable of calculating an evaluation value of an image quality of an image and evaluating the image quality of a binocular stereoscopic image with higher accuracy without being affected by flicker or the like.

[0023]

According to a first aspect of the present invention, there is provided a binocular stereoscopic image evaluation apparatus which presents an image for a left eye and an image for a right eye to the left and right eyes independently of each other, and displays a binocular stereoscopic image of an observer. Image input means for inputting images for the left and right binoculars of a binocular stereoscopic image for allowing a subject to be stereoscopically viewed using a visual function, and an image for the left and right binoculars input from the image input means. Binocular corresponding region extracting means for independently extracting the physical characteristic amounts of the left and right binocular images of the evaluated image observed as the same object on a pseudo plane different from the image presenting surface; A monocular image evaluation value calculation unit that independently calculates a monocular image evaluation value for each of the left and right eyes from the physical characteristic amounts for the left and right eyes extracted by the eye corresponding region extraction unit using predetermined human visual characteristics, Both left and right extracted by the binocular corresponding area extraction means Computing means for performing an inter-image operation on the physical characteristic amount for use as one piece of image information, and binocular using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human. A binocular image evaluation value calculating means for calculating a visual image evaluation value, and a monocular image evaluation value for the left and right eyes calculated by the monocular image evaluation value calculating means and a binocular image evaluation value calculating means calculated. A binocular stereoscopic image evaluation value calculation means for calculating an image evaluation value of the binocular stereoscopic image using the binocular image evaluation value, and by evaluating the image quality of the input image. Achieves the above objectives.

According to the above configuration, the left-eye image and the right-eye image are independently presented to the left and right eyes, and the object is stereoscopically viewed using the binocular stereoscopic function of the observer. The left and right eyes of the image to be evaluated observed as the same object on a pseudo plane different from the actual image presentation surface from the left and right images are input. The physical characteristic amount of the image for each is independently extracted, and the monocular image evaluation value is independently calculated using the predetermined visual characteristic of human for the left and right eyes from the extracted physical characteristic amount for the left and right eyes, Also, after performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, a binocular image is obtained using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human. The evaluation value is calculated, and the monocular image evaluation value and the binocular image evaluation value are calculated. The binocular stereoscopic image evaluation value is used to evaluate the image quality of the input image, so the image quality evaluation value of the binocular stereoscopic image in which the perception by a single eye and the perception by both eyes are mixed is accurately calculated. The calculation can be performed well, and the image quality of the binocular stereoscopic image can be evaluated with high accuracy.

In this case, for example, as described in claim 2, the monocular image evaluation value calculating means and the binocular image evaluation value calculating means include a visual characteristic corresponding to color information as the human visual characteristic. May be used.

According to the above arrangement, since the visual characteristics corresponding to the color information are used as the human visual characteristics, the image quality of the binocular stereoscopic image which can be observed not only with the luminance information but also with the color information is obtained. The evaluation value can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

[0027] For example, as described in claim 3, the binocular stereoscopic image evaluation apparatus includes at least one of visual characteristic storage means for storing human visual characteristics corresponding to a plurality of pieces of optical attribute information. Further comprising a visual characteristic selecting means for selecting a human visual characteristic corresponding to the optical attribute information, wherein the monocular image evaluation value calculating means and the binocular image evaluation value calculating means, as the human visual characteristic, The visual characteristics selected by the visual characteristics selecting means may be used.

According to the above arrangement, a human visual characteristic corresponding to at least one piece of optical attribute information is selected from among human visual characteristics corresponding to a plurality of pieces of optical attribute information, and a binocular stereoscopic image is evaluated. Since the selected human visual characteristic is used as the human visual characteristic to be used, the method of presenting the binocular stereoscopic image is performed, for example, by using an optical filter having different spectral transmittances for the left and right eyes and the observed image. A color filter system arranged on an optical path between the optical filters, a polarizing glasses system arranged optical filters having different polarization directions on the optical path between the right and left eyes and the image to be observed, left and right alternately alternately on / off in a short time The optical information required for the calculation of the binocular stereoscopic image evaluation is different, such as a temporal equation in which the transmission and non-transmission of the image information for the left and right eyes are switched in synchronization with the presentation of the image for the eye. attribute Even when the distribution is different, it is possible to properly respond, it is possible to calculate the evaluation value of the image quality of the binocular stereoscopic image rich in versatility with high precision,
The image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

Further, for example, as described in claim 4, the human visual characteristic may correspond to a time characteristic.

According to the above configuration, since a human visual characteristic corresponding to a temporal characteristic is used, an image is displayed and presented on a display system that repeats blinking in a short time such as a CRT or a movie. In the case where the image is presented by a temporal image presentation method in which images are separated and observed by a filter for the left and right eyes that alternately turns on and off alternately, human beings are not exposed to flicker or the like, which is a repetition of a short period of light and dark. It is possible to calculate the evaluation value of the image quality of the binocular stereoscopic image in consideration of the temporal characteristics of the visual sense, and the image quality of the binocular stereoscopic image can be further improved without being affected by flicker and the like. Can be evaluated.

According to a fifth aspect of the present invention, there is provided a method for evaluating a binocular stereoscopic image, wherein an image for a left eye and an image for a right eye are independently presented to the left and right eyes, and the binocular stereoscopic function of the observer is utilized. An image input procedure of inputting images for the left and right binoculars of a binocular stereoscopic image for stereoscopically observing a target, and an actual image presentation surface from the images for the left and right binoculars input in the image input procedure The binocular corresponding region extraction procedure for independently extracting the physical characteristic amounts of the left and right binocular images of the evaluated image observed as the same object on different pseudo planes, and the binocular corresponding region extraction procedure A monocular image evaluation value calculation procedure of independently calculating a monocular image evaluation value for each of the left and right eyes from the extracted physical characteristic amounts for the left and right eyes using predetermined human visual characteristics, and the binocular corresponding region extraction Physical characteristics for both left and right eyes extracted by the procedure A binocular image evaluation value is calculated using the image information obtained by the inter-image calculation and a predetermined visual characteristic of a human, by performing an inter-image operation on the image data to form one piece of image information. The binocular image evaluation value calculation procedure to be calculated, the monocular image evaluation value of the left and right eyes calculated by the monocular image evaluation value calculation procedure, and the binocular image calculated by the binocular image evaluation value calculation procedure Performing a binocular stereoscopic image evaluation value calculation procedure of calculating an image evaluation value of the binocular stereoscopic image using the evaluation value to evaluate the image quality of the input image. Have achieved.

According to the above arrangement, the left-eye image and the right-eye image are independently presented to the left and right eyes, and the object is stereoscopically viewed using the binocular stereoscopic function of the observer. The left and right eyes of the image to be evaluated observed as the same object on a pseudo plane different from the actual image presentation surface from the left and right images are input. The physical characteristic amount of the image for each is independently extracted, and the monocular image evaluation value is independently calculated using the predetermined visual characteristic of human for the left and right eyes from the extracted physical characteristic amount for the left and right eyes, Also, after performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, a binocular image is obtained using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human. The evaluation value is calculated, and the monocular image evaluation value and the binocular image evaluation value are calculated. The binocular stereoscopic image evaluation value is used to evaluate the image quality of the input image, so the image quality evaluation value of the binocular stereoscopic image in which the perception by a single eye and the perception by both eyes are mixed is accurately calculated. The calculation can be performed well, and the image quality of the binocular stereoscopic image can be evaluated with high accuracy.

In this case, for example, the monocular image evaluation value calculating procedure and the binocular image evaluation value calculating procedure may include a visual characteristic corresponding to color information as the human visual characteristic. May be used.

According to the above configuration, since the visual characteristic corresponding to the color information is used as the human visual characteristic, the image quality of the binocular stereoscopic image which can be observed not only with the luminance information but also with the color information is obtained. The evaluation value can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

For example, in the binocular stereoscopic image evaluation method, the method for evaluating at least one piece of optical attribute information is based on a human visual characteristic corresponding to a plurality of pieces of optical attribute information. Further comprising a visual characteristic selecting step of selecting a human visual characteristic, wherein the monocular image evaluation value calculating step and the binocular image evaluating value calculating step are selected as the human visual characteristic in the visual characteristic selecting step. Other visual characteristics may be used.

According to the above configuration, a human visual characteristic corresponding to at least one piece of optical attribute information is selected from human visual characteristics corresponding to a plurality of pieces of optical attribute information, and a binocular stereoscopic image is evaluated. Since the selected human visual characteristic is used as the human visual characteristic to be used, the method of presenting the binocular stereoscopic image is different, for example, a color filter method, a polarizing glasses method, a temporal method, etc. Even if the optical attribute information necessary for the calculation of the stereoscopic image evaluation is different, it is possible to appropriately cope with it and calculate the image quality evaluation value of the versatile binocular stereoscopic image with high accuracy. And the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

Further, for example, as set forth in claim 8, the human visual characteristic may correspond to a temporal characteristic.

According to the above configuration, since the one corresponding to the time characteristic is used as the human visual characteristic, even when the image is presented by the time-dependent image presentation method, the human can be prevented from flickering or the like. It is possible to calculate the evaluation value of the image quality of the binocular stereoscopic image in consideration of the temporal characteristics of the visual sense, and the image quality of the binocular stereoscopic image can be further improved without being affected by flicker and the like. Can be evaluated.

The recording medium according to the ninth aspect of the present invention provides an image for the left eye and an image for the right eye to the left and right eyes independently of each other and utilizes the binocular stereoscopic function of the observer to stereoscopically display the object. An image input procedure for inputting images for the left and right eyes of the binocular stereoscopic image to be observed, and a pseudo plane different from the actual image presentation plane from the images for the left and right eyes input in the image input procedure A binocular corresponding region extraction procedure for independently extracting the physical characteristic amounts of the left and right binocular images of the evaluated image observed as the same object above, and the left and right binocular regions extracted in the binocular corresponding region extracting procedure A monocular image evaluation value calculation procedure for independently calculating a monocular image evaluation value for each of the left and right eyes using predetermined human visual characteristics from the physical characteristic amount for the eye, and the binocular corresponding area extraction procedure Image for physical property values for left and right eyes An inter-image calculation procedure for performing a calculation to obtain one piece of image information; and a binocular vision for calculating a binocular image evaluation value using the image information obtained by the inter-image calculation and predetermined human visual characteristics. Using the image evaluation value calculation procedure, the monocular image evaluation value of the left and right eyes calculated by the monocular image evaluation value calculation procedure, and the binocular image evaluation value calculated by the binocular image evaluation value calculation procedure The above object is attained by recording a program including a binocular stereoscopic image evaluation value calculating procedure for calculating an image evaluation value of the binocular stereoscopic image.

According to the above structure, the left-eye image and the right-eye image are independently presented to the left and right eyes, and the object is stereoscopically viewed using the binocular stereoscopic function of the observer. The left and right eyes of the image to be evaluated observed as the same object on a pseudo plane different from the actual image presentation surface from the left and right images are input. The physical characteristic amount of the image for each is independently extracted, and the monocular image evaluation value is independently calculated using the predetermined visual characteristic of human for the left and right eyes from the extracted physical characteristic amount for the left and right eyes, Also, after performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, a binocular image is obtained using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human. The evaluation value is calculated, and the monocular image evaluation value and the binocular image evaluation value are calculated. A binocular stereoscopic image evaluation value is calculated using the program, and a program for evaluating the image quality of the input image is recorded on a recording medium readable by an information processing device such as a computer. It is possible to accurately calculate the image quality evaluation value of a binocular stereoscopic image in which monocular perception and binocular perception are mixed, and to evaluate the image quality of a binocular stereoscopic image with high accuracy. it can.

In this case, for example, as described in claim 10, the recording medium includes, as the program, the monocular image evaluation value calculating procedure and the binocular image evaluation value calculating procedure, wherein A program that uses a visual characteristic corresponding to color information as a characteristic may be recorded.

According to the above configuration, since a program using a visual characteristic corresponding to color information as a human visual characteristic is recorded on a recording medium, not only luminance information but also color information can be obtained by using an information processing device such as a computer. The evaluation value of the image quality of the binocular stereoscopic image that can be observed including the information can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

For example, as described in claim 11, the recording medium, as the program, corresponds to at least one piece of optical attribute information from human visual characteristics corresponding to a plurality of pieces of optical attribute information. The method further includes a visual characteristic selection step of selecting a human visual characteristic, wherein the monocular image evaluation value calculation step and the binocular image evaluation value calculation step are selected in the visual characteristic selection step as the human visual characteristic. A program that uses visual characteristics may be recorded.

According to the above configuration, a human visual characteristic corresponding to at least one piece of optical attribute information is selected from among human visual characteristics corresponding to a plurality of pieces of optical attribute information, and a binocular stereoscopic image is evaluated. Since a program that uses the selected human visual characteristics as the human visual characteristics to be used is recorded on a recording medium, a method of presenting a binocular stereoscopic image using an information processing device such as a computer may be, for example, a color image. Even when the optical attribute information required for the calculation of the binocular stereoscopic image evaluation is different due to a difference such as a filter method, a polarizing glasses method, a temporal method, etc., it is possible to appropriately cope with the versatility. The evaluation value of the image quality of the binocular stereoscopic image can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

Further, for example, as described in claim 12, the recording medium may record a program in which the human visual characteristic corresponds to the time characteristic as the program.

According to the above configuration, since a program using a human visual characteristic corresponding to the time characteristic is recorded on the recording medium, the image can be converted to a CRT or movie using an information processing apparatus such as a computer. Binocular stereoscopic images that take into account the temporal characteristics of human vision against flicker, etc., even when displayed on a display system that repeatedly flashes in a short time such as Can be calculated, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy without being affected by flicker or the like.

[0047]

Preferred embodiments of the present invention will be described below in detail with reference to the accompanying drawings. It should be noted that the embodiments described below are preferred embodiments of the present invention, and therefore, various technically preferable limitations are added. However, the scope of the present invention is not limited to the following description. The embodiments are not limited to these embodiments unless otherwise specified.

FIG. 1 is a diagram showing a first embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention. Corresponding to the binocular stereoscopic image evaluation apparatus.

In FIG. 1, a binocular stereoscopic image evaluation device 1
Is an image input unit 2, a binocular corresponding area extraction unit 3, a physical characteristic amount conversion unit 4, a monocular image evaluation value calculation unit 5, an inter-image calculation unit 6, a binocular image evaluation value calculation unit 7, and a binocular stereo. A visual image evaluation value calculation unit 8 and the like are provided.

The image input unit (image input means) 2 uses, for example, a microdensitometer, a CCD (Charge Coupled Device) camera, a scanner, or a video camera, and is independently input for the left and right eyes. An image is acquired, and an image for the left eye and an image for the right eye are output to the binocular corresponding region extraction unit 3.

The binocular corresponding area extracting section (binocular corresponding area extracting means) 3 is observed as one object when the image input from the image input section 2 is observed with both eyes by a predetermined method. One or a plurality of region pair groups are extracted, and the extracted one or a plurality of region pair groups are converted into physical characteristic quantity conversion units 4.
Output to

The physical characteristic amount conversion unit 4 converts one or more pairs of physical characteristic amounts input from the binocular corresponding region extraction unit 3, for example, the image density distribution or the like, into other appropriate physical Characteristic amount, for example, independently converted into a reflectance distribution, etc.,
The left-eye image and the right-eye image are output to the monocular image evaluation value calculation unit 5, respectively.

The monocular image evaluation value calculating section (monocular image evaluation value calculating means) 5 converts the above-mentioned converted image data inputted from the physical characteristic amount converting section 4 in order to consider the image quality that can be perceived by only a single eye. For each of the physical characteristic amounts of the two images for the left eye and the right eye, monocular image evaluation values are independently calculated using predetermined human visual characteristics, and the calculated left-eye and right-eye images are calculated. The respective monocular image evaluation values are output to the binocular stereoscopic image evaluation value calculator 8.

The physical characteristic quantity converter 4 converts the image extracted by the binocular corresponding area extracting section 3 independently of the image output to the monocular image evaluation value calculating section 5 into a monocular image evaluation. The left and right eyes are independently converted into another physical characteristic amount different from the image output to the value calculation unit 5, for example, a reflectance distribution or the like, and output to the inter-image calculation unit 6.

The inter-image calculation unit (inter-image calculation means) 6 performs an inter-image averaging of the physical characteristic amount distributions of the two images for the left eye and the right eye input from the physical characteristic amount conversion unit 4. And 1
The image data is converted into physical characteristic quantity distributions of the individual images and output to the binocular image evaluation value calculation unit 7.

The binocular image evaluation value calculation unit (binocular image evaluation value calculation means) 7 considers human visual characteristics with respect to one physical characteristic amount distribution input from the inter-image calculation unit 6. The calculation is performed to calculate the binocular image evaluation value and output to the binocular stereoscopic image evaluation value calculation unit 8.

The binocular stereoscopic image evaluation value calculating section (binocular stereoscopic image evaluation value calculating means) 8 includes a monocular image evaluation value calculating section 5.
A binocular stereoscopic image evaluation value is calculated by using the two monocular image evaluation values input from the above and the binocular image evaluation value input from the binocular image evaluation value calculation unit 7. That is, the binocular stereoscopic image evaluation value calculation unit 8 includes the binocular stereoscopic image evaluation value obtained based on the result obtained by performing the subjective evaluation experiment and the physical measurement of the image in advance, as the monocular image evaluation value. And binocular stereoscopic image evaluation value function data are stored. The binocular stereoscopic image evaluation value calculating unit 8 calculates two binocular stereoscopic image evaluation value calculation units 5 based on the interval data. A binocular stereoscopic image evaluation value is calculated from the monocular image evaluation value and the binocular image evaluation value input from the binocular image evaluation value calculation unit 7.

Next, the operation of the present embodiment will be described. The binocular stereoscopic image evaluation apparatus 1 observes the left-eye image and the right-eye image input from the image input unit 2 as one object when the binocular corresponding region extraction unit 3 observes the images with both eyes. One or more pairs of area pairs are extracted, and physical property quantities such as image density distribution of the extracted area pairs are converted into other physical properties such as reflectance distribution by the physical property quantity conversion unit 4 as necessary. Independently converted to the amount for the left eye and for the right eye.

The binocular stereoscopic image evaluation apparatus 1 calculates a left-eye image evaluation value calculation unit 5 from the physical characteristic amounts of the two images for the left eye and the right eye using the human visual characteristics. The monocular image evaluation value is calculated independently for the eye and for the right eye, and the inter-image calculation unit 6 performs an inter-image calculation for the left eye and the right eye such as an inter-image averaging to obtain one image. After the conversion into the physical characteristic amount distribution of the image, the binocular image evaluation value calculation unit 7 performs an operation on this one physical characteristic amount distribution in consideration of the human visual characteristic to obtain a binocular image. Calculate the evaluation value.

Then, the binocular stereoscopic image evaluation apparatus 1 calculates the monocular image evaluation value calculated by the monocular image evaluation value calculation section 5 and the binocular image evaluation value calculated by the binocular image evaluation value calculation section 7. Then, the binocular stereoscopic image evaluation value calculation unit 8 calculates the binocular stereoscopic image evaluation value.

As described above, the binocular stereoscopic image evaluation apparatus 1 of the present embodiment presents the left-eye image and the right-eye image to the left and right eyes independently of each other, and performs the binocular stereoscopic function of the observer. Input the left and right binocular images of the binocular stereoscopic image that allows the subject to be observed stereoscopically using the same binocular image on a pseudo plane different from the actual image presentation surface from the left and right binocular images The physical characteristic amounts of the images for the left and right eyes of the image to be evaluated observed as objects of the left and right eyes are independently extracted, and the predetermined visual characteristics of the human right and left eyes are extracted from the extracted physical characteristic amounts for the left and right eyes. Calculate the monocular image evaluation value independently using
Also, after performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, a binocular image is obtained using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human. An evaluation value is calculated, a binocular stereoscopic image evaluation value is calculated using the monocular image evaluation value and the binocular image evaluation value, and the image quality of the input image is evaluated.

Therefore, it is possible to accurately calculate the image quality evaluation value of a binocular stereoscopic image in which perception by a single eye and perception by both eyes are mixed, and to evaluate the image quality of a binocular stereoscopic image with high accuracy. be able to.

FIG. 2 is a diagram showing a second embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention. Corresponding to the binocular stereoscopic image evaluation apparatus.

The present embodiment is applied to a binocular stereoscopic image evaluation apparatus similar to the first embodiment.
In the description of the present embodiment, the same components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof will be omitted.

In FIG. 2, a binocular stereoscopic image evaluation device 1
0 includes an image input unit 2 and a binocular corresponding area extraction unit 3 similar to those of the first embodiment, a colorimetric space conversion unit 11, a monocular image evaluation value calculation unit 11, an image calculation unit 1
3, a binocular image evaluation value calculation unit 14, a binocular stereoscopic image evaluation value calculation unit 15, and the like.

The color space conversion unit 11 calculates one or more pairs of physical characteristic amounts of the left-eye image and the right-eye image extracted by the binocular corresponding region extraction unit 3, for example, the image density distribution and the like. Other suitable color information quantities, for example, CIE (1976) L *
a * b * and other color information distributions are independently converted for the left and right eyes, respectively, and the converted color information amounts for the left and right eyes are calculated by the monocular image evaluation value calculation unit 12 and the inter-image calculation. Part 13
Output to The color information of CIE (1976) L * a * b * is a uniform color space recommended by CIE in 1976, and in the L * a * b * color system, L * The lightness indices a * and b * representing the lightness are chromaticity indices orthogonal to the lightness index L * axis and representing colors almost uniformly. The color space is CI
E (1976) It is not limited to L * a * b *, but may be, for example, L * u * v *.

The monocular image evaluation value calculating section (monocular image evaluation value calculating means) 12 converts the above-mentioned converted image data inputted from the colorimetric space converting section 11 in order to consider the image quality perceivable by only a single eye. For the color information amounts of the two images for the left eye and the right eye, monocular image evaluation values are calculated independently using human visual characteristics, and the calculated left eye and right eye image values are respectively calculated. The monocular image evaluation value is output to the binocular stereoscopic image evaluation value calculation unit 15.

The inter-image operation section (inter-image operation means) 13
The color information distribution that is the physical characteristic amount distribution of the left-eye image and the right-eye image input from the color space conversion unit 11, for example,
By performing inter-image averaging, etc., the inter-image averaging is performed in the L *, a *, and b * spaces, and converted into a set of color information distributions in the L *, a *, and b * spaces. Visual image evaluation value calculation unit 1
4 is output.

The binocular image evaluation value calculating section (binocular image evaluation value calculating means) 14 calculates a set of color information distributions input from the inter-image calculating section 13 in consideration of human color vision characteristics. To calculate a binocular vision image evaluation value corresponding to the color information, and output it to the binocular stereoscopic vision image evaluation value calculation unit 15.

The binocular stereoscopic image evaluation value calculating section (binocular stereoscopic image evaluation value calculating means) 15 includes two monocular image evaluation values input from the monocular image evaluation value calculating section 11 and a binocular image evaluation value. A binocular stereoscopic image evaluation value corresponding to a color is calculated using the binocular image evaluation value input from the image evaluation value calculation unit 14.

Next, the operation of the present embodiment will be described. The binocular stereoscopic image evaluation apparatus 10 observes the left-eye image and the right-eye image input from the image input unit 2 with the binocular corresponding region extraction unit 3 as one object when observing the image with both eyes. One or a plurality of region pair groups to be extracted are extracted, and the physical characteristic amount such as the image density distribution of the extracted region pair is converted by the color space conversion unit 11 into, for example, CIE (1976) L * a * b *.
, Etc., are independently converted into color information distributions for the left eye and the right eye, respectively.

The binocular stereoscopic image evaluation apparatus 10 calculates a left-eye image evaluation value calculating section 11 from the color information distributions of the two images for the left eye and the right eye by using the human visual characteristics. A single-eye image evaluation value is calculated independently for the eye and for the right eye, and the inter-image calculation unit 13 performs a left-eye and right-eye image calculation such as an inter-image averaging to form a set of images. After the conversion into the color information distribution, the binocular image evaluation value calculation unit 14 calculates this 1
A calculation is performed on each of the color information distributions in consideration of the human visual characteristics, and a binocular image evaluation value corresponding to the color information distribution is calculated.

Then, the binocular stereoscopic image evaluation device 10
The binocular stereoscopic image evaluation value calculator 15 converts the monocular image evaluation value calculated by the monocular image evaluation value calculator 11 and the binocular image evaluation value calculated by the binocular image evaluation value calculator 14 into color. A corresponding binocular stereoscopic image evaluation value is calculated.

As described above, the binocular stereoscopic image evaluation apparatus 10 of the present embodiment uses a visual characteristic corresponding to color information as a human visual characteristic.

Therefore, the evaluation value of the image quality of the binocular stereoscopic image that can be observed including not only the luminance information but also the color information can be calculated with high precision, and the binocular stereoscopic image of the binocular stereoscopic image can be calculated with higher precision. Image quality can be evaluated.

FIG. 3 is a diagram showing a fourth embodiment of the binocular stereoscopic image evaluation apparatus, the binocular stereoscopic image evaluation method, and the recording medium of the present invention. Corresponding to the binocular stereoscopic image evaluation apparatus.

This embodiment is applied to a binocular stereoscopic image evaluation apparatus similar to the first embodiment.
In the description of the present embodiment, the same components as those in the first embodiment are denoted by the same reference numerals, and detailed description thereof will be omitted.

In FIG. 3, a binocular stereoscopic image evaluation device 2
0 is the same as the image input unit 2, the binocular corresponding region extraction unit 3, the physical characteristic amount conversion unit 4, the inter-image calculation unit 6, and the binocular stereoscopic image similar to the binocular stereoscopic image evaluation device of the first embodiment. The image processing apparatus includes a visual image evaluation value calculation unit 8, a monocular image evaluation value calculation unit 21, a binocular image evaluation value calculation unit 22, and a visual characteristic selection unit 2.
3 and a visual characteristic information group storage unit 24.

The visual characteristic information group storage section 24 stores a plurality of visual characteristic information groups corresponding to a plurality of optical attributes. As the visual characteristic information group, for example, a human corresponding to the spectral transmittance of a color filter is stored. Visual characteristics of CIE (197
6) Human visual characteristics and the like corresponding to color information such as L * a * b * are stored.

The visual characteristic selecting section 23 is used to appropriately select a visual characteristic from the visual characteristic information group stored in the visual characteristic information group storage section 24 and uses the binocular stereoscopic image evaluation device 20. Operates the visual characteristic selection unit 23,
One or more types of human visual characteristics required for calculating the image evaluation value are selected from the visual characteristic information group stored in the visual characteristic information group storage unit 24. The visual characteristics selected by the visual characteristic selection unit 23 are output from the visual characteristic information group storage unit 24 to the monocular image evaluation value calculation unit 21 and the binocular image evaluation value calculation unit 22.

The monocular image evaluation value calculation unit 21 converts the two values for the left eye and the right eye after conversion inputted from the physical characteristic amount conversion unit 4 in order to consider the image quality that can be perceived by only a single eye. With respect to the physical characteristic amount of the image of FIG.
The monocular image evaluation values for the left eye and the right eye are calculated independently using the human visual characteristics selected from and input from the visual characteristic information group storage unit 24 for the left eye and the right eye, respectively. Is output to the binocular stereoscopic image evaluation value calculation unit 8.

The binocular visual image evaluation value calculation unit 22 stores the visual characteristic information group storage unit selected by the visual characteristic selection unit 23 for the physical characteristic amount distribution of one image input from the inter-image calculation unit 6. The binocular stereoscopic image evaluation value is calculated by performing an operation in consideration of the human visual characteristics input from 24, and the calculated binocular image evaluation value is output to the binocular stereoscopic image evaluation value calculation unit 8. .

Next, the operation of the present embodiment will be described. At the time of evaluating a binocular stereoscopic image using the binocular stereoscopic image evaluation device 20, the user stores the human visual characteristics used for image evaluation in the visual characteristic information group storage unit 24 by the visual characteristic selecting unit 23. One or more types are selected from the existing visual characteristic information group.

At this time, for example, when an image is presented by a color filter method, the user selects a human visual characteristic corresponding to the spectral transmittance of the left-eye and right-eye color filters, When the image is presented in a polarizing glasses system or a temporal system, a human visual characteristic corresponding to color information such as CIE (1976) L * a * b * is selected.

When the human visual characteristic is selected, the binocular stereoscopic image evaluation device 20 converts the left-eye image and the right-eye image input from the image input unit 2 into the binocular corresponding area extraction unit 3. When observing with both eyes, one or more pairs of area pairs observed as one object are extracted, and physical characteristics such as the image density distribution of the extracted area pairs are extracted as necessary. The amount conversion unit 4 independently converts the amount into another physical characteristic amount such as a reflectance distribution for the left eye and the right eye.

The binocular stereoscopic image evaluation device 20 is selected by the monocular image evaluation value calculation unit 21 and the visual characteristic selection unit 23 from the physical characteristic amounts of the two images for the left eye and the right eye. Using the human visual characteristics input from the visual characteristic information group storage unit 24, a single-eye image evaluation value is calculated independently for the left eye and the right eye, and two single-eye image evaluation values for the left eye and the right eye are calculated. The image physical calculation unit 6 performs an inter-image calculation for the left eye and the right eye such as an inter-image averaging on the physical characteristic amount of the image to convert the image into a physical characteristic amount distribution of one image. In the binocular visual image evaluation value calculation unit 22, the visual characteristic information group storage unit 24 selected by the visual characteristic selection unit 23 for this one physical characteristic amount distribution
The binocular image evaluation value is calculated by performing an arithmetic operation in consideration of the human visual characteristics input from.

Then, the binocular stereoscopic image evaluation device 20
The binocular stereoscopic image evaluation value calculation unit 8 calculates a binocular image based on the monocular image evaluation value calculated by the monocular image evaluation value calculation unit 21 and the binocular image evaluation value calculated by the binocular image evaluation value calculation unit 22. A stereoscopic image evaluation value is calculated.

As described above, the binocular stereoscopic image evaluation apparatus 20 of the present embodiment uses the human visual characteristics corresponding to at least one piece of optical attribute information from the human visual characteristics corresponding to a plurality of pieces of optical attribute information. The characteristic is selected, and the selected human visual characteristic is used as the human visual characteristic used in the evaluation of the binocular stereoscopic image.

Therefore, a method for presenting a binocular stereoscopic image is, for example, a color filter system in which optical filters having different spectral transmittances are arranged on the optical path between the left and right eyes and the image to be observed. Polarized glasses system in which optical filters having directions are arranged on the optical path between the left and right eyes and the image to be observed. The left and right eyes are synchronized with the presentation of images for the left and right eyes that alternately turn on / off alternately in a short time. It is possible to appropriately cope with a case where the optical attribute information necessary for the calculation of the binocular stereoscopic image evaluation is different, such as a temporal expression in which transmission / non-transmission of each image information is switched, and the like. At the same time, the evaluation value of the image quality of the binocular stereoscopic image, which is rich in versatility, can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

FIG. 4 is a diagram showing a fourth embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention. Corresponding to the binocular stereoscopic image evaluation apparatus.

This embodiment is applied to a binocular stereoscopic image evaluation apparatus similar to the first and third embodiments, and in the description of the present embodiment,
The same components as those in the first and third embodiments are denoted by the same reference numerals, and detailed description thereof will be omitted.

In FIG. 4, the binocular stereoscopic image evaluation device 3
0 is the same as the image input unit 2, the binocular corresponding region extraction unit 3, the physical characteristic amount conversion unit 4, the inter-image calculation unit 6, and the binocular stereoscopic image in the same manner as in the binocular stereoscopic image evaluation device of the first embodiment. The visual image evaluation value calculating section 8 and the visual characteristic selecting section 23 and the visual characteristic information group storage section 24 similar to those of the binocular stereoscopic image evaluation apparatus of the third embodiment are provided, and the monocular image evaluation value calculating section 31 is provided. And a binocular image evaluation value calculation unit 32 and the like.

The visual characteristic information group storage section 24 stores a plurality of visual characteristic information groups corresponding to a plurality of optical attributes. , Etc., of temporal visual characteristics.

The visual characteristic selecting section 23 is used to appropriately select a visual characteristic from the visual characteristic information group stored in the visual characteristic information group storage section 24 and uses the binocular stereoscopic image evaluation device 30. Operates the visual characteristic selection unit 23,
One or more types of human visual characteristics required for calculating the image evaluation value are selected from the visual characteristic information group stored in the visual characteristic information group storage unit 24. The visual characteristics selected by the visual characteristic selecting unit 23 are output from the visual characteristic information group storage unit 24 to the monocular image evaluation value calculation unit 31 and the binocular image evaluation value calculation unit 32.

The single-eye image evaluation value calculation unit 31 converts the two values for the left eye and the right eye after conversion input from the physical characteristic amount conversion unit 4 in order to consider the image quality that can be perceived by only a single eye. With respect to the physical characteristic amount of the image of FIG.
The monocular image evaluation values are calculated independently using the spatial visual characteristics of humans and the temporal visual characteristics of humans, which are selected from the visual characteristic information group storage unit 24 selected in the above, and the calculated left-eye and right-eye images are calculated. The respective monocular image evaluation values are output to the binocular stereoscopic image evaluation value calculator 8.

The binocular visual image evaluation value calculation unit 32 stores the visual characteristic information group storage unit selected by the visual characteristic selection unit 23 for the physical characteristic amount distribution of one image input from the inter-image calculation unit 6. A binocular image evaluation value is calculated by performing an operation in consideration of a human spatial visual characteristic and a human temporal visual characteristic input from the input unit 24, and the calculated binocular image evaluation value is calculated as a binocular stereoscopic image. Output to the evaluation value calculation unit 8.

Next, the operation of the present embodiment will be described. At the time of evaluating a binocular stereoscopic image using the binocular stereoscopic image evaluation device 30, the user's visual characteristics used for image evaluation by the user are stored in the visual characteristic information group storage unit 24 by the visual characteristic selecting unit 23. One or more types of human spatial visual characteristics and human temporal visual characteristics are selected from the visual characteristic information group.

When the human visual characteristic is selected, the binocular stereoscopic image evaluation device 30 converts the left-eye and right-eye images input from the image input unit 2 into the binocular corresponding area extraction unit 3. When observing with both eyes, one or more pairs of area pairs observed as one object are extracted, and physical characteristics such as the image density distribution of the extracted area pairs are extracted as necessary. The amount conversion unit 4 independently converts the amount into another physical characteristic amount such as a reflectance distribution for the left eye and the right eye.

The binocular stereoscopic image evaluation apparatus 30 is selected by the monocular image evaluation value calculation unit 31 and the visual characteristic selection unit 23 from the physical characteristic amounts of the two images for the left eye and the right eye. Using the human spatial visual characteristics and the human temporal visual characteristics input from the visual characteristic information group storage unit 24, a monocular image evaluation value for each of the left eye and the right eye is calculated independently. After the inter-image calculation such as the inter-image addition averaging is performed by the inter-image calculation unit 6 and converted into the physical characteristic amount distribution of one image by the binocular image evaluation value calculation unit 32, An operation is performed on one physical characteristic quantity distribution in consideration of human spatial visual characteristics and human temporal visual characteristics selected by the visual characteristic selecting unit 23 and input from the visual characteristic information group storage unit 24. , And calculates the binocular image evaluation value.

The binocular stereoscopic image evaluation device 30
The binocular stereoscopic image evaluation value calculation unit 8 calculates a binocular image based on the monocular image evaluation value calculated by the monocular image evaluation value calculation unit 31 and the binocular image evaluation value calculated by the binocular image evaluation value calculation unit 32. A stereoscopic image evaluation value is calculated.

As described above, the binocular stereoscopic image evaluation apparatus 30 according to the present embodiment uses an apparatus which corresponds to the time characteristic as the human visual characteristic.

Accordingly, a temporal system in which an image is displayed on a display system that repeatedly blinks in a short time, such as a CRT or a movie, and the presented image is separated and observed by a filter for the left and right eyes that alternately turns on and off, and is observed. Calculates the evaluation value of the image quality of a binocular stereoscopic image that also takes into account the temporal characteristics of human vision against flicker, which is a repetition of a short period of light and dark, even when presented by the image presentation method. Therefore, the image quality of the binocular stereoscopic image can be evaluated with higher accuracy without being affected by flicker or the like.

FIG. 5 is a diagram showing a fifth embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention. Corresponding to the binocular stereoscopic image evaluation method.

FIG. 5 is a diagram showing a processing procedure of the binocular stereoscopic image evaluation method according to the present embodiment. The binocular stereoscopic image evaluating method according to the present embodiment includes a microdensitometer, a CCD camera, and a scanner. Alternatively, an image for a left eye and an image for a right eye are acquired by image information input procedure processing for inputting independent images for the left eye and the right eye from an image information input unit such as a video camera (step S101). From the acquired images for the left eye and the right eye, a pair of area pairs or a plurality of area pair groups each of which is observed as one object when observing the image with both eyes is extracted by a predetermined method. An eye-corresponding region extraction procedure is performed (step S102).

The physical characteristic amount of the region pair extracted in the binocular corresponding region extraction procedure processing, for example, the image density distribution, etc.
If necessary, a physical characteristic amount conversion procedure process for independently converting into another appropriate physical characteristic amount, for example, a reflectance distribution or the like is performed (step S103).

Next, using the human visual characteristics from the physical characteristic distributions of the two images for the left and right eyes, which have been converted by the physical characteristic amount conversion procedure, independent processing for the left and right eyes is performed. Performs a monocular image evaluation value calculation procedure for calculating a monocular image evaluation value (step S104). Further, the physical characteristic amount distribution of the left-eye and right-eye images converted by the physical characteristic amount conversion procedure processing For example, after performing an inter-image arithmetic procedure or the like for performing an inter-image averaging or the like to convert into a physical characteristic amount distribution of one image (step S105), Then, a binocular image evaluation value calculation procedure for calculating a binocular image evaluation value by performing a calculation in consideration of human visual characteristics is performed (step S106).

Finally, the binocular stereoscopic image evaluation value is calculated from the monocular image evaluation value calculated in the monocular image evaluation value calculation procedure and the binocular image evaluation value calculated in the binocular image evaluation value calculation procedure. A binocular stereoscopic image evaluation value calculation procedure process is performed (step S107).

As described above, the binocular stereoscopic image evaluation method according to the present embodiment uses the binocular stereoscopic function of the observer by presenting the left-eye image and the right-eye image independently to the left and right eyes. Input the images for both the left and right eyes of the binocular stereoscopic image that allows the subject to be viewed three-dimensionally, and use the same image on the pseudo plane different from the actual image presentation surface from the images for the left and right eyes. The physical characteristic amounts of the images for the left and right eyes of the evaluated image observed as an object are independently extracted, and a predetermined human visual characteristic is used for the left and right eyes from the extracted physical characteristic amounts for the left and right eyes. After calculating the monocular image evaluation values independently of each other, and performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, the image information obtained by the inter-image operation and the human The binocular vision image evaluation value is calculated using the predetermined visual characteristics of It calculates a binocular stereoscopic image evaluation value using the monocular image evaluation value and the binocular vision image evaluation value, and evaluates the image quality of the input image.

Therefore, it is possible to accurately calculate the image quality evaluation value of a binocular stereoscopic image in which the perception by a single eye and the perception by both eyes are mixed, and to evaluate the image quality of the binocular stereoscopic image with high accuracy. be able to.

FIG. 6 is a diagram showing a sixth embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention. Corresponding to the binocular stereoscopic image evaluation method.

FIG. 6 is a diagram showing a processing procedure of the binocular stereoscopic image evaluation method according to the present embodiment. The binocular stereoscopic image evaluation method according to the present embodiment is different for the left eye and the right eye. The image for the left eye and the image for the right eye are acquired by the image information input procedure processing of inputting the independent images for the left eye and the right eye from a predetermined image information input unit capable of independently inputting the images, respectively (step S
201) From the acquired images for the left eye and the right eye, a pair of region pairs or a plurality of region pair groups each observed as one object when observing the image with both eyes is determined by a predetermined method. A binocular corresponding region extraction procedure process to be extracted is performed (step S202).

The physical characteristic amount of the region pair extracted in the binocular corresponding region extraction procedure processing, for example, the image density distribution, etc.
Other suitable color information quantities, for example, CIE (1976) L
A color space conversion procedure is performed for independently converting the color information distribution such as * a * b * and the like for the left eye and the right eye (step S203).

Next, in order to consider the image quality that can be perceived only by a single eye, the color information amounts of the two images for the left eye and the right eye converted by the color space conversion procedure process are calculated as follows. Using the human color vision characteristics, a monocular image evaluation value calculation procedure for independently calculating a monocular image evaluation value for the left eye and for the right eye is performed (step S204). For the converted color information distribution of the left-eye and right-eye images, for example, by performing image averaging and the like,
In the L *, a *, and b * spaces, each image is averaged, and
After performing an inter-image calculation procedure process of converting into a set of L *, a *, b * space color information distribution (step S205),
A binocular stereoscopic image evaluation value calculation procedure for calculating a binocular stereoscopic image evaluation value corresponding to the color information by performing an arithmetic operation on the color information distribution of the set of images in consideration of human color vision characteristics. Perform (Step S206).

Finally, the binocular stereoscopic vision corresponding to the color is obtained from the monocular image evaluation value calculated in the monocular image evaluation value calculation procedure and the binocular image evaluation value calculated in the binocular image evaluation value calculation procedure. A binocular stereoscopic image evaluation value calculation procedure for calculating an image evaluation value is performed (step S207).

In this embodiment, CIE (1976) L * a * b * is adopted as the color space, but the color space is, for example, L * u * v * or the like. There may be.

As described above, the binocular stereoscopic image evaluation method of the present embodiment uses a visual characteristic corresponding to color information as a human visual characteristic.

Therefore, the evaluation value of the image quality of the binocular stereoscopic image that can be observed including not only the luminance information but also the color information can be calculated with high accuracy, and the binocular stereoscopic image of the binocular stereoscopic image can be calculated with higher accuracy. Image quality can be evaluated.

FIG. 7 is a diagram showing a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to a seventh embodiment of the present invention. Corresponding to the binocular stereoscopic image evaluation method.

FIG. 7 is a diagram showing a processing procedure of the binocular stereoscopic image evaluation method according to the present embodiment. The binocular stereoscopic image evaluation method according to the present embodiment is used for evaluating a binocular stereoscopic image. Then, the user performs a visual characteristic selection procedure process of selecting one or more types of the visual characteristic information group stored in the visual characteristic information group for the human visual characteristics used for image evaluation (step S301). Visual characteristic information providing procedure processing to provide the monocular image evaluation value calculation procedure processing step and the binocular image evaluation value calculation procedure processing step from the visual characteristic information group at the appropriate time when the visual characteristic selected in the visual characteristic selection procedure is appropriate. Is performed (step S302). In this visual characteristic selection procedure processing, for example, when an image is presented by a color filter method, the user selects a human visual characteristic corresponding to the spectral transmittance of the left-eye and right-eye color filters. However, when the image is presented in a polarizing glasses system or a chronological system, a human visual characteristic corresponding to color information such as CIE (1976) L * a * b * is selected.

In the binocular stereoscopic image evaluation method, the left-eye image and the right-eye image are input from a predetermined image information input unit capable of independently inputting the left-eye image and the right-eye image, respectively. The image for the left eye and the image for the right eye are acquired by the input image information input procedure processing (step S303), and one image is obtained from each of the acquired images for the left and right eyes when observing the image with both eyes. A binocular corresponding region extraction procedure is performed to extract one region pair or a group of a plurality of region pairs observed as an object by a predetermined method (step S304).

Next, the physical characteristic amount (for example, image density distribution, etc.) of the region pair extracted in the binocular corresponding region extraction procedure processing
Is converted into another appropriate physical characteristic amount (for example, a reflectance distribution or the like) as needed (step S305), and the physical characteristic amount is converted by the physical characteristic amount conversion procedure processing. Using the human visual characteristics selected in the above visual characteristic information selection procedure, in order to consider the image quality that can be perceived only by a single eye, for the physical characteristic amount distribution of each of the left-eye and right-eye images. A monocular image evaluation value calculation procedure for independently calculating a monocular image evaluation value is performed (step S306), and the physical characteristics of the left-eye and right-eye images converted by the physical characteristic amount conversion procedure The image distribution is subjected to, for example, inter-image addition averaging or the like, and the image is subjected to an inter-image calculation procedure for conversion into a physical characteristic amount distribution of one image (step S307). Against the visual And performing an operation in consideration of the visual characteristics of the selected humans sexual information selection procedure, performs the binocular vision image evaluation value calculation procedure processing for calculating the binocular vision image evaluation value (step S308).

Finally, a binocular stereoscopic image evaluation value is calculated from the monocular image evaluation value calculated in the monocular image evaluation value calculation procedure and the binocular image evaluation value calculated in the binocular image evaluation value calculation procedure. A binocular stereoscopic image evaluation value calculation procedure process is performed (step S309).

As described above, according to the binocular stereoscopic image evaluation method of the present embodiment, a human visual characteristic corresponding to at least one piece of optical attribute information is obtained from a human visual characteristic corresponding to a plurality of pieces of optical attribute information. Is selected, and the selected human visual characteristic is used as the human visual characteristic used in the evaluation of the binocular stereoscopic image.

Therefore, the method of presenting a binocular stereoscopic image is different, for example, a color filter method, a polarizing glasses method, a temporal method, etc., and optical attribute information necessary for calculation of a binocular stereoscopic image evaluation is different. In the case of different cases, it is possible to appropriately cope with the situation, and it is possible to calculate the evaluation value of the image quality of the binocular stereoscopic image with high versatility with high accuracy, thereby improving the image quality of the binocular stereoscopic image. Evaluation can be performed with higher accuracy.

FIG. 8 is a diagram showing an eighth embodiment of a binocular stereoscopic image evaluation method, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention. Corresponding to the binocular stereoscopic image evaluation method.

FIG. 8 is a diagram showing a processing procedure of the binocular stereoscopic image evaluation method according to the present embodiment. The binocular stereoscopic image evaluating method according to the present embodiment is used for evaluating a binocular stereoscopic image. Then, the user performs a visual characteristic selection procedure process of selecting one or more types of the visual characteristic information group stored in the visual characteristic information group of the human visual characteristics used for the image evaluation (step S401). Visual characteristic information providing procedure processing to provide the monocular image evaluation value calculation procedure processing step and the binocular image evaluation value calculation procedure processing step from the visual characteristic information group at the appropriate time when the visual characteristic selected in the visual characteristic selection procedure is appropriate. Is performed (step S402). In this visual characteristic selection procedure processing, the user selects a human spatial visual characteristic or a human temporal visual characteristic.

In the binocular stereoscopic image evaluation method, the left-eye image and the right-eye image can be input independently from a predetermined image information input unit capable of inputting the left-eye image and the right-eye image independently. The image for the left eye and the image for the right eye are acquired in the input image information input procedure processing (step S403), and one image is obtained from each of the acquired images for the left and right eyes when observing the image with both eyes. A binocular corresponding region extraction procedure is performed to extract a single region pair or a plurality of region pair groups observed as an object by a predetermined method (step S404).

Next, the physical characteristic amount (for example, the image density distribution) of the pair of right and left eyes extracted in the binocular corresponding region extraction procedure processing is converted to another appropriate physical characteristic amount (for example, an image density distribution). For example, a physical characteristic quantity conversion procedure process of independently converting each into a reflectance distribution or the like is performed (step S405).

In order to consider the image quality that can be perceived with only a single eye, the physical characteristic amount distribution of each of the left-eye image and the right-eye image converted in the physical characteristic amount conversion procedure is considered. A monocular image evaluation value calculating procedure for independently calculating a monocular image evaluation value for the left eye and for the right eye using the human spatial visual characteristics and the human temporal visual characteristics selected in the characteristic information selecting procedure Perform processing (step S4
06) Also, for example, the inter-image averaging and the like are performed on the physical characteristic amount distributions of the left-eye and right-eye images converted in the physical characteristic amount conversion procedure processing, and the inter-image averaging is performed. After performing an inter-image calculation procedure process for converting into a physical characteristic amount distribution of one set of images (step S407), the physical characteristic amount distribution of this one set of images is selected in the visual characteristic information selection procedure. A binocular image evaluation value calculation procedure is performed to calculate a binocular image evaluation value by performing an operation in consideration of the human spatial visual characteristics and the human temporal visual characteristics (step S408).

Finally, the binocular stereoscopic image evaluation value is calculated from the monocular image evaluation value calculated in the monocular image evaluation value calculation procedure and the binocular image evaluation value calculated in the binocular image evaluation value calculation procedure. A binocular stereoscopic image evaluation value calculation procedure is performed (step S409).

As described above, the binocular stereoscopic image evaluation method of the present embodiment uses a human visual characteristic corresponding to the temporal characteristic.

Therefore, even when the image is presented by the temporal image presentation method, the evaluation value of the image quality of the binocular stereoscopic image is calculated in consideration of the temporal characteristics of human vision against flicker and the like. Therefore, the image quality of the binocular stereoscopic image can be evaluated with higher accuracy without being affected by flicker or the like.

FIG. 9 is a diagram showing a binocular stereoscopic image evaluation apparatus to which the ninth embodiment of the binocular stereoscopic image evaluation method, the binocular stereoscopic image evaluation method and the recording medium of the present invention is applied. This embodiment corresponds to the recording medium of claim 9.

In FIG. 9, the binocular stereoscopic image evaluation device 4
0 includes an input unit 41, a computer 42, an output unit 43, and the like. In the computer 42, a binocular corresponding area extraction unit 44, a physical characteristic amount conversion unit 45, a monocular image evaluation value calculation unit 46, an inter-image calculation Unit 47, binocular image evaluation value calculation unit 48
And a binocular stereoscopic image evaluation value calculation unit 49 and the like.

A predetermined recording medium 50 is attached to the input section 41. Examples of the recording medium 50 include a hard disk, a floppy (registered trademark) disk, an MO (magneto-optical disk), and a RAM (Random Access Memory). A recording medium readable by the computer 42 via the input unit is used. The recording medium 50 stores a later-described binocular stereoscopic image evaluation processing program and various data necessary for executing the binocular stereoscopic image evaluation processing, and includes, for example, a microdensitometer and a CCD camera. , A scanner, or a left-eye image and a right-eye image acquired by an image input device such as a video camera.

The input section 41 is provided with the attached recording medium 5.
The CPU reads the binocular stereoscopic image evaluation processing program and the data necessary for the binocular stereoscopic image evaluation processing stored in the storage unit 0 and stores them in an internal memory such as a RAM or a hard disk (not shown) inside the computer 42.

The binocular stereoscopic image evaluation apparatus 40 reads the left-eye image and the right-eye image acquired by the image input device in a state where the program and data of the recording medium 50 are loaded into the internal memory of the computer 42. Recording medium 50 on which is recorded
Is set in the input unit 41, the left-eye image and the right-eye image recorded on the recording medium 50 are taken into the binocular corresponding area extraction unit 44 of the computer 42 via the input unit 41.

The binocular-corresponding region extracting unit 44 extracts one image that is observed as one object when the image is observed with both eyes from the left-eye image and the right-eye image input from the input unit 41. Are extracted by a predetermined method and output to the physical characteristic quantity conversion unit 45.

The physical characteristic quantity conversion section 45 needs the physical characteristic quantities (for example, image density distribution and the like) of the left-eye and right-eye images of the area pair extracted by the binocular corresponding area extraction section 44. Other physical characteristics (eg, reflectivity distribution, etc.) appropriate for
And converts the physical characteristic amounts for the left and right eyes into the monocular image evaluation value calculation unit 46 and the inter-image calculation unit 4 respectively.
7 is output.

The monocular-view image evaluation value calculating section 46 considers the image quality that can be perceived by only a single eye, and converts the converted left-eye and right-eye two-dimensional images inputted from the physical characteristic amount converting section 45 into two. For each of the physical characteristic amounts of the individual images, a monocular image evaluation value is independently calculated using predetermined human visual characteristics, and the calculated monocular image evaluation values for the left eye and the right eye are calculated. It outputs to the binocular stereoscopic image evaluation value calculation unit 49.

The inter-image calculation unit 47 includes a physical characteristic amount conversion unit 4
5 is converted into a physical characteristic amount distribution of one image by performing, for example, inter-image averaging on the physical characteristic amount distributions of the left-eye image and the right-eye image input from Step 5. Output to the evaluation value calculation unit 48.

The binocular visual image evaluation value calculating section 48 performs an arithmetic operation on one physical characteristic quantity distribution input from the inter-image calculating section 47 in consideration of a predetermined visual characteristic of a human to perform binocular visual evaluation. The image evaluation value is calculated, and the binocular stereoscopic image evaluation value calculation unit 49
Output to

The binocular stereoscopic image evaluation value calculating section 49 includes two monocular image evaluation values input from the monocular image evaluation value calculating section 46 and a binocular image evaluation value calculating section 48 input from the binocular image evaluation value calculating section 48. A binocular stereoscopic image evaluation value is calculated using the visual image evaluation value. That is, the binocular stereoscopic image evaluation value calculation unit 49
The binocular stereoscopic image evaluation value obtained based on the results obtained by performing a subjective evaluation experiment and physical measurement of the image in advance based on the function data of the monocular image evaluation value and the binocular image evaluation value The binocular stereoscopic image evaluation value is calculated from the two monocular image evaluation values input from the monocular image evaluation value calculation unit 46 and the binocular image evaluation value input from the binocular image evaluation value calculation unit 48. It is calculated and output to the output unit 43. That is, for example, if the image quality factor to be evaluated is the granularity representing the roughness of the image, the binocular stereoscopic image evaluation value calculating unit 49 determines the granularity of the image by the above-described show and dolly method. Then, a binocular stereoscopic image evaluation value is calculated. In the above description, the show and dolly method has been exemplified as the method of calculating the granularity in the binocular stereoscopic image evaluation value calculation unit 49, but the method of calculating the granularity is not limited to this. . Further, although the description has been given taking only the granularity of an image as an image quality factor, the image quality factor is not limited to this, and may be another image quality factor such as sharpness. The function data is stored in the recording medium 50, and is read into the memory of the computer 42 via the input unit 41.

A predetermined recording medium 51 is attached to the output section 43. The recording medium 51 is, for example, a recording medium recordable by the computer 42 via the output section 43 such as a hard disk, a floppy disk, an MO, or a RAM. Is used.

The output unit 43 outputs the binocular stereoscopic image evaluation value calculated by the binocular stereoscopic image evaluation value calculating unit 49 to the recording medium 51.
Output to

Note that the output unit 43 includes the recording medium 51
It is not limited to the one that is recorded and output to, for example, CR
A display device that displays and outputs the binocular stereoscopic image evaluation value calculated by the binocular stereoscopic image evaluation value calculation unit 49, such as a T or an LCD, or a binocular stereoscopic image evaluation value calculation such as a printer. A recording device that records and outputs the binocular stereoscopic image evaluation value calculated by the unit 49 on recording paper may be used.

Next, the operation of the present embodiment will be described. In order to evaluate the binocular stereoscopic image with the binocular stereoscopic image evaluation device 40, the recording medium 50 on which the binocular stereoscopic image evaluation processing program and the necessary data are recorded is set in the input unit 41 and recorded. The computer 42 stores the binocular stereoscopic image evaluation processing program and necessary data recorded on the medium 50.
In an internal memory (not shown).

In this state, when the recording medium 50 on which the left-eye and right-eye stereoscopic images acquired by the image input device are recorded is set in the input unit 41, the computer 42
Performs image input procedure processing for independently capturing the left-eye and right-eye binocular stereoscopic images recorded on the set recording medium 50 into the binocular corresponding region extracting unit 44, and From the input left-eye image and right-eye image, the extraction unit 44 extracts one region pair or a plurality of region pair groups each observed as one object when observing the image with both eyes. A binocular corresponding region extraction procedure process of extracting by a predetermined method is performed.

The computer 42 converts the physical characteristic amount (for example, the image density distribution) of the image extracted into one or a plurality of region pairs into a physical characteristic amount conversion unit 45 as necessary. , A physical characteristic amount conversion procedure of independently converting the physical characteristic amounts (for example, the reflectance distribution and the like) for the left eye and the right eye.

Next, the computer 42 calculates a monocular image evaluation value calculating section 46 from the physical characteristic amounts of the two images for the left and right eyes converted by the physical characteristic The monocular image evaluation value calculation procedure for independently calculating the monocular image evaluation value for the left eye and the right eye for the right eye using the visual characteristics is performed. After performing an image-to-image calculation procedure to convert the image into a physical characteristic amount distribution of one image by performing an image-to-image calculation for the right eye and the right eye, the binocular image evaluation value calculation unit 48 calculates this one physical A binocular image evaluation value calculation procedure for calculating a binocular image evaluation value is performed by performing an operation on the characteristic amount distribution in consideration of human visual characteristics.

Then, the computer 42 makes the binocular stereoscopic image evaluation value calculating section 49 a monocular image evaluation value calculating section 46.
A binocular stereoscopic image evaluation value calculation procedure for calculating a binocular stereoscopic image evaluation value from the monocular image evaluation value calculated by the above and the binocular image evaluation value calculated by the binocular image evaluation value calculating unit 48 is performed. Then, the calculated binocular stereoscopic image evaluation value is recorded on the recording medium 51 via the output unit 43. When the output unit 43 is a display device, the computer 42 displays and outputs the binocular stereoscopic image evaluation value. When the output unit 43 is a recording device, the computer 42 displays the binocular stereoscopic image evaluation value on a recording paper. To be recorded and output.

As described above, the binocular stereoscopic image evaluation apparatus 40 of the present embodiment presents the left-eye image and the right-eye image to the left and right eyes independently of each other, and performs the binocular stereoscopic function of the observer. Input the left and right binocular images of the binocular stereoscopic image that allows the subject to be observed stereoscopically using the same binocular image on a pseudo plane different from the actual image presentation surface from the left and right binocular images The physical characteristic amounts of the images for the left and right eyes of the image to be evaluated observed as objects of the left and right eyes are independently extracted, and the predetermined visual characteristics of the human right and left eyes are extracted from the extracted physical characteristic amounts for the left and right eyes. Each of them is used to independently calculate a monocular image evaluation value, and after performing an inter-image operation on the extracted physical characteristic amount to form one piece of image information, the image information obtained by the inter-image operation and Calculate the binocular image evaluation value using the predetermined visual characteristics of human The monocular image evaluation value and calculates a binocular stereoscopic image evaluation value using a binocular vision image evaluation value, the image program a computer 4 for evaluating the quality of the input image
The information is recorded on a recording medium 50 that can be read by an information processing device such as No. 2.

Therefore, it is possible to accurately calculate the image quality evaluation value of a binocular stereoscopic image in which perception by a single eye and perception by both eyes is mixed using an information processing apparatus such as the computer 42, and the like. The image quality of a binocular stereoscopic image can be evaluated.

FIG. 10 is a diagram showing a binocular stereoscopic image evaluation apparatus to which the tenth embodiment of the binocular stereoscopic image evaluation method, the binocular stereoscopic image evaluation method and the recording medium of the present invention is applied. This embodiment corresponds to the recording medium of claim 10.

This embodiment is applied to a binocular stereoscopic image evaluation device similar to the binocular stereoscopic image evaluation device of the ninth embodiment. The same reference numerals are given to the same components as in the binocular stereoscopic image evaluation apparatus of the ninth embodiment, and the detailed description thereof will be omitted.

In FIG. 10, the binocular stereoscopic image evaluation apparatus 60 includes an input unit 41, a computer 61, and an output unit 43.
In the computer 61, a binocular corresponding region extracting unit 44, a color space conversion unit 62, a monocular image evaluation value calculating unit 63, an inter-image calculating unit 64, a binocular image evaluating value calculating unit 65
And a binocular stereoscopic image evaluation value calculation unit 66 and the like.

The input unit 41 includes, for example, a hard disk, a floppy disk, an MO, a RAM, etc.
Recording medium 5 readable by computer 61 through
0 is attached, and the recording medium 50 stores a later-described binocular stereoscopic image evaluation processing program and various data necessary for executing the binocular stereoscopic image evaluation processing. The image for the left eye and the image for the right eye acquired by the image input device are stored. Input unit 41
Reads the binocular stereoscopic image evaluation processing program stored in the attached recording medium 50 and data necessary for the binocular stereoscopic image evaluation processing, and reads the computer 61
The data is loaded into an internal RAM (not shown) or an internal memory such as a hard disk.

When the recording medium 50 on which the left-eye image and the right-eye image acquired by the image input device are recorded is set in the input section 41, the binocular stereoscopic image evaluation apparatus 60 The left-eye and right-eye images recorded in the binocular corresponding area extraction unit 4 of the computer 61 via the input unit 41
Take in 4.

[0159] The binocular corresponding region extracting unit 44 is configured to output one image that is observed as one object when observing an image with both eyes from the left-eye image and the right-eye image input from the input unit 41. Are extracted by a predetermined method and output to the color space conversion unit 62.

The color space conversion unit 62 calculates the physical characteristic amount of the pair of regions of the image for the left eye and the image for the right eye extracted by the binocular corresponding region extraction unit 44, for example, the density distribution of the image. C
IE (1976) The color information distribution such as L * a * b * is converted independently for the left eye and for the right eye, and output to the monocular image evaluation value calculation unit 63 and the inter-image calculation unit 64, respectively.

The monocular image evaluation value calculation section 63 calculates the image quality perceivable by only a single eye for each of the color information distributions of the left-eye image and the right-eye image converted by the color space conversion section 62. In order to take into account, a monocular image evaluation value is calculated independently using human color vision characteristics, and the calculated monocular image evaluation values for the left eye and right eye are calculated as binocular stereoscopic image evaluation value calculation units. 66 is output.

The inter-image calculation section 64 is composed of a color space conversion section 62
The color information distribution, which is the physical characteristic quantity distribution of the left-eye and right-eye images, input from the image data, for example, by performing averaging between images and the like, to obtain images in L *, a *, and b * spaces, respectively. The data is averaged, converted to a color information distribution in a set of L *, a *, and b * spaces, and output to the binocular image evaluation value calculation unit 65.

The binocular visual image evaluation value calculation unit 65 performs an operation on a set of color information distributions input from the inter-image calculation unit 64 in consideration of the human color perception characteristics, and performs both operations corresponding to the color information. The binocular image evaluation value is calculated and output to the binocular stereoscopic image evaluation value calculation unit 66.

The binocular stereoscopic image evaluation value calculation unit 66 includes two monocular image evaluation values input from the monocular image evaluation value calculation unit 63 and a binocular image evaluation value calculation unit 65 input from the binocular image evaluation value calculation unit 65. The binocular stereoscopic image evaluation value corresponding to the color is calculated using the visual image evaluation value.

The output unit 43 includes a recording medium 51 similar to the above.
The output unit 43 is not limited to the one that records and outputs on the recording medium 51.
A display device that displays and outputs the binocular stereoscopic image evaluation value calculated by the binocular stereoscopic image evaluation value calculating unit 66 such as an LCD or an LCD, or a binocular stereoscopic image evaluation value calculating unit such as a printer A recording device that records and outputs the calculated binocular stereoscopic image evaluation value on a recording sheet may be used.

Next, the operation of the present embodiment will be described. In order to evaluate a binocular stereoscopic image with the binocular stereoscopic image evaluation device 60, the recording medium 50 on which the binocular stereoscopic image evaluation processing program and necessary data are recorded is set in the input unit 41 and recorded. The computer 61 stores the binocular stereoscopic image evaluation processing program and necessary data recorded on the medium 50.
In an internal memory (not shown).

In this state, when the recording medium 50 on which the left-eye and right-eye binocular stereoscopic images acquired by the image input device are recorded is set in the input unit 41, the computer 61
Performs image input procedure processing for independently capturing the binocular stereoscopic images for the left eye and the right eye recorded on the recording medium 50 set in the input unit 41 into the binocular corresponding region extraction unit 44, In the binocular corresponding region extracting unit 44, from the input left-eye image and right-eye image, one region pair or a plurality of regions, each of which is observed as one object when observing the image with both eyes, is displayed. A binocular corresponding region extraction procedure for extracting a region pair group by a predetermined method is performed.

The computer 61 converts the physical characteristic amount (for example, image density distribution or the like) of the image extracted into one or a plurality of region pairs into a color
E (1976) Performs a conversion procedure process for independently converting the color information distribution such as L * a * b * for the left eye and the right eye, and calculates the monocular image evaluation value calculation unit 63 and the inter-image calculation unit 64
Output to

The computer 61 calculates a monocular image evaluation value calculating section 63 for the two color information amount distributions for the left eye and the right eye, which are input from the color space conversion section 62.
A monocular image evaluation value is independently calculated using the human color vision characteristics, and a monocular image evaluation value calculation procedure is output to the binocular stereoscopic image evaluation value calculation unit 66. The unit 64 performs, for example, inter-image averaging on the converted color information distributions of the left-eye and right-eye images input from the color space conversion unit 62 to obtain L *, a * ,
In the b * space, each image is averaged, and one set of L
After performing an inter-image calculation procedure process for converting into a color information distribution in the *, a *, and b * spaces, the binocular visual image evaluation value calculation unit 65 applies the set of color information distributions to a human. A binocular image evaluation value calculation procedure for calculating a binocular image evaluation value corresponding to the color information is performed by performing an operation in consideration of the color vision characteristics.

The computer 61 finally calculates a monocular image evaluation value calculating section 63 by a binocular stereoscopic image evaluation value calculating section 66.
Calculating a binocular stereoscopic image evaluation value corresponding to a color from the two monocular image evaluation values for the left and right eyes calculated by the above and the binocular image evaluation value calculated by the binocular image evaluation value calculation unit 65 An eye stereoscopic image evaluation value calculation procedure is performed, and the calculated binocular stereoscopic image evaluation value is recorded on the recording medium 51 via the output unit 43. When the output unit 43 is a display device, the computer 61 displays and outputs the binocular stereoscopic image evaluation value. When the output unit 43 is a recording device,
The binocular stereoscopic image evaluation value is recorded and output on recording paper.

As described above, the binocular stereoscopic image evaluation apparatus 60 of the present embodiment records the program using the visual characteristics corresponding to the color information as the human visual characteristics on the recording medium 50.

Therefore, an image quality evaluation value of a binocular stereoscopic image that can be observed including not only luminance information but also color information can be calculated with high accuracy by using an information processing device such as the computer 61. Thus, the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

FIG. 11 is a diagram showing a binocular stereoscopic image evaluation apparatus to which the eleventh embodiment of the binocular stereoscopic image evaluation method, the binocular stereoscopic image evaluation method and the recording medium of the present invention is applied. This embodiment corresponds to the recording medium of claim 11.

This embodiment is applied to a binocular stereoscopic image evaluation apparatus similar to the binocular stereoscopic image evaluation apparatus of the ninth embodiment. The same reference numerals are given to the same components as those of the binocular stereoscopic image evaluation apparatus of the ninth embodiment, and detailed description thereof will be omitted.

In FIG. 11, a binocular stereoscopic image evaluation apparatus 70 includes an input unit 41, a computer 71, and an output unit 43.
In the computer 71, a binocular corresponding region extracting unit 44, a physical characteristic amount converting unit 45, and an inter-image calculating unit 4 similar to the binocular stereoscopic image evaluating apparatus 40 of the ninth embodiment are provided.
7 and a binocular stereoscopic image evaluation value calculation unit 49 are housed, and a monocular image evaluation value calculation unit 72, a binocular image evaluation value calculation unit 73, a visual characteristic selection unit 74, and a visual characteristic information group storage unit 75 etc. are stored.

A predetermined recording medium 50 is attached to the input section 41. Examples of the recording medium 50 include a recording medium readable by the computer 71 via the input section 41 such as a hard disk, a floppy disk, an MO, and a RAM. Is used. The storage medium 50 stores a later-described binocular stereoscopic image evaluation processing program and various data necessary for executing the binocular stereoscopic image evaluation processing, and is acquired by the image input device. Images for the left eye and the right eye are stored. The input unit 41 reads a binocular stereoscopic image evaluation processing program and data necessary for the binocular stereoscopic image evaluation processing stored in the attached recording medium 50, and stores the RAM or hard disk (not shown) inside the computer 71. And so on.

[0177] The binocular stereoscopic image evaluation apparatus 70 reads the left-eye image and the right-eye image acquired by the image input device in a state where the program and data of the recording medium 50 are fetched into the internal memory of the computer 71. Recording medium 50 on which is recorded
Is set in the input unit 41, the left-eye image and the right-eye image recorded on the recording medium 50 are taken into the binocular corresponding area extraction unit 44 of the computer 71 via the input unit 41.

The visual characteristic information group storage section 75 stores a plurality of visual characteristic information groups corresponding to a plurality of optical attributes. As the visual characteristic information group, for example, a human corresponding to the spectral transmittance of a color filter is stored. Visual characteristics of CIE (197
6) Stores human visual characteristics and the like corresponding to color information such as L * a * b *.

The visual characteristic selecting section 74 is used to appropriately select visual characteristics from the visual characteristic information group stored in the visual characteristic information group storage section 75, and is used by the binocular stereoscopic image evaluation device 70. Operates the visual characteristic selection unit 74,
One or more types of human visual characteristics required for calculating the image evaluation value are selected from the visual characteristic information group stored in the visual characteristic information group storage unit 75. The computer 81 outputs the visual characteristics selected by the visual characteristic selecting unit 74 from the visual characteristic information group storage unit 75 to the monocular image evaluation value calculation unit 72 and the binocular image evaluation value calculation unit 73.

The monocular image evaluation value calculating section 72 calculates the converted two-eye image data for the left and right eyes, which are input from the physical characteristic amount converting section 45, in order to consider the image quality that can be perceived by only a single eye. The visual characteristic information storage unit 75 is selected by the visual characteristic selection unit 74 for each of the physical characteristic amounts of the images.
Using the human visual characteristics input from the CPU, independently calculate a monocular image evaluation value, and calculate the calculated monocular image evaluation values for the left and right eyes for a binocular stereoscopic image evaluation value calculation unit. 49.

In the same manner as described above, the inter-image calculation unit 47 performs, for example, inter-image averaging or the like on the physical characteristic amount distributions of the left-eye and right-eye images input from the physical characteristic amount conversion unit 45. Is converted into a physical characteristic amount distribution of one image and output to the binocular image evaluation value calculation unit 73.

The binocular image evaluation value calculating section 73 selects the visual characteristic selecting section 74 for one physical characteristic quantity distribution inputted from the inter-image calculating section 47 and stores the visual characteristic information group storing section. A calculation is performed in consideration of the human visual characteristics input from 75 to calculate a binocular image evaluation value, and outputs it to the binocular stereoscopic image evaluation value calculation unit 49.

The binocular stereoscopic image evaluation value calculating section 49 receives the input from the monocular image evaluation value calculating section 72 in the same manner as described above.
A binocular stereoscopic image evaluation value is calculated using the single monocular image evaluation value and the binocular image evaluation value input from the binocular image evaluation value calculation unit 73.

A predetermined recording medium 51 is attached to the output unit 43 in the same manner as described above. The output unit 43 is not limited to the one that records and outputs to the recording medium 51, and may be, for example, a CRT or an LCD. Eye stereoscopic image evaluation value calculation unit 4
9 may be a display device that displays and outputs the calculated binocular stereoscopic image evaluation value, and records the binocular stereoscopic image evaluation value calculated by the binocular stereoscopic image evaluation value calculation unit 49 such as a printer. A recording device for recording and outputting on paper may be used.

Next, the operation of the present embodiment will be described. In order to evaluate the binocular stereoscopic image with the binocular stereoscopic image evaluation apparatus 70, the recording medium 50 on which the binocular stereoscopic image evaluation processing program and necessary data are recorded is set in the input unit 41 and recorded. The computer 71 stores the binocular stereoscopic image evaluation processing program and necessary data recorded on the medium 50.
In an internal memory (not shown).

In this state, the recording medium 50 on which the left-eye and right-eye binocular stereoscopic images acquired by the image input device are recorded is set in the input section 41, and the user selects the visual characteristic selecting section 74. Then, a visual characteristic selection procedure process of selecting one or more types from among the visual characteristic information group stored in the visual characteristic information group storage unit 75 is performed for the human visual characteristic used for image evaluation.

At this time, for example, when the image is presented by the color filter method, the user selects the human visual characteristic corresponding to the spectral transmittance of the left-eye and right-eye color filters, When the image is presented by the polarized glasses method or the aging method, a human visual characteristic corresponding to color information such as CIE (1976) L * a * b * is selected.

When the human visual characteristic is selected, the binocular stereoscopic image evaluation apparatus 70 causes the computer 71 to operate the computer 71 for the left eye and the right eye recorded on the recording medium 50 set in the input section 41. The binocular corresponding region extracting unit 44 performs image input procedure processing for independently capturing the binocular stereoscopic images of the left and right eyes into the binocular corresponding region extracting unit 44. When observing an image with both eyes, binocular corresponding region extraction processing is performed to extract a single region pair or a plurality of region pair groups, each of which is observed as one object, by a predetermined method.

The computer 71 converts the physical characteristic amount (for example, image density distribution) of the image extracted into one or a plurality of region pairs by the binocular corresponding region extracting unit 44 into the physical characteristic amount converting unit 45. Then, if necessary, a physical characteristic amount conversion procedure process for independently converting the physical characteristic amount into another appropriate physical characteristic amount (for example, a reflectance distribution or the like) for the left eye and the right eye is performed.

Next, the computer 71 calculates the monocular image evaluation value calculating section 72 from the physical characteristic amounts of the two images for the left and right eyes converted by the physical characteristic amount In consideration of the image quality that can be perceived by the human eye, the human eye characteristics selected by the visual characteristic selection unit 74 and input from the visual characteristic information group storage unit 75 are used for the left eye and the right eye independently of each other. A monocular image evaluation value calculation procedure for calculating a visual image evaluation value is performed. The computer 71 also converts the left-eye and right-eye 2
The inter-image calculation unit 47 converts the physical characteristic amounts of the images into a physical characteristic amount distribution of one image by performing an inter-image calculation for the left eye and the right eye such as an inter-image averaging. After performing the calculation procedure processing, the binocular image evaluation value calculation unit 73 selects the one physical characteristic amount distribution by the visual characteristic selection unit 74 and inputs the distribution from the visual characteristic information group storage unit 75. A binocular vision image evaluation value calculation procedure for calculating a binocular vision image evaluation value by performing an operation in consideration of human visual characteristics is performed.

Then, the computer 71 causes the binocular stereoscopic image evaluation value calculation section 49 to execute the monocular image evaluation value calculation section 72.
A binocular stereoscopic image evaluation value calculation process of calculating a binocular stereoscopic image evaluation value from the monocular image evaluation value calculated by the above and the binocular image evaluation value calculated by the binocular image evaluation value calculation unit 73 is performed. Then, the calculated binocular stereoscopic image evaluation value is recorded on the recording medium 51 via the output unit 43. When the output unit 43 is a display device, the computer 71 causes the binocular stereoscopic image evaluation value to be displayed and output. When the output unit 43 is a recording device, the computer 71 displays the binocular stereoscopic image evaluation value on a recording paper. To be recorded and output.

As described above, the binocular stereoscopic image evaluation apparatus 70 of the present embodiment uses the human visual characteristics corresponding to at least one piece of optical attribute information from the human visual characteristics corresponding to a plurality of pieces of optical attribute information. A program for selecting the characteristic and using the selected human visual characteristic as the human visual characteristic to be used in the evaluation of the binocular stereoscopic image is recorded in the recording medium 50.

Therefore, the method of presenting a binocular stereoscopic image using an information processing apparatus such as the computer 71 differs, for example, using a color filter method, a polarizing glasses method, a temporal method, etc. It is possible to appropriately cope with the case where the optical attribute information required for the calculation of the evaluation is different, and to calculate the evaluation value of the image quality of the binocular stereoscopic image with high versatility with high accuracy. In addition, the image quality of a binocular stereoscopic image can be evaluated with higher accuracy.

FIG. 12 is a diagram showing a binocular stereoscopic image evaluation apparatus to which the twelfth embodiment of the binocular stereoscopic image evaluation method, the binocular stereoscopic image evaluation method and the recording medium of the present invention is applied. This embodiment corresponds to the recording medium of claim 12.

This embodiment is applied to a binocular stereoscopic image evaluation apparatus similar to the binocular stereoscopic image evaluation apparatus of the eleventh embodiment. The same reference numerals are given to the same components as in the binocular stereoscopic image evaluation apparatus of the eleventh embodiment, and the detailed description is omitted.

In FIG. 12, a binocular stereoscopic image evaluation apparatus 80 includes an input unit 41, a computer 81, and an output unit 43.
In the computer 81, a binocular corresponding region extracting unit 44, a physical characteristic amount converting unit 45, an inter-image calculating unit 47, a binocular stereoscopic image evaluation value calculating unit similar to the eleventh embodiment are provided. 49, a visual characteristic selection unit 74 and a visual characteristic information group storage unit 75, and a monocular image evaluation value calculation unit 82, a binocular image evaluation value calculation unit 83, and the like.

The input unit 41 is provided with a recording medium 50 readable by a computer 81 via an input unit such as a hard disk, a floppy disk, an MO, and a RAM. A visual image evaluation processing program and various data necessary to execute the binocular stereoscopic image evaluation processing are stored, and for example, images for the left eye and the right eye acquired by the image input device are stored. It is memorized.

The input unit 41 is connected to the attached recording medium 5.
The binocular stereoscopic image evaluation processing program and data necessary for the binocular stereoscopic image evaluation processing stored in the computer 81 are read and stored in a RAM (not shown) or an internal memory such as a hard disk inside the computer 81.

When the recording medium 50 on which the left-eye image and the right-eye image obtained by the image input device are recorded is set in the input section 41, the binocular stereoscopic image evaluation device 80 The image for the left eye and the image for the right eye recorded in the binocular corresponding area extraction unit 4 of the computer 81 via the input unit 41
Take in 4.

The monocular image evaluation value calculating section 82 calculates the image quality perceivable by only a single eye with respect to the physical characteristic amount distribution of the left-eye image and the right-eye image converted by the physical characteristic amount converting section 45. A monocular image evaluation value calculation procedure for independently calculating monocular image evaluation values using human visual characteristics selected by the visual characteristic selection unit 74 and input from the visual characteristic information group storage unit 75 for consideration At this time, a monocular image evaluation value calculation procedure is performed using the human spatial visual characteristics and the human temporal visual characteristics.

The binocular visual image evaluation value calculation unit 83 stores the visual characteristic information group storage unit selected by the visual characteristic selection unit 74 for the physical characteristic amount distribution of one image input from the inter-image calculation unit 47. The calculation is performed in consideration of the human visual characteristics input from 75 to calculate the binocular vision image evaluation value.
A binocular visual image evaluation value calculation procedure is performed using human spatial visual characteristics and human temporal visual characteristics.

As described above, a predetermined recording medium 51 is attached to the output unit 43. As the recording medium 51, for example, a hard disk, a floppy disk, an MO,
A recording medium that can be recorded by the computer 81 via an input unit such as M is used. The output unit 43 outputs the binocular stereoscopic image evaluation value calculated by the binocular stereoscopic image evaluation value calculation unit 49 to the recording medium 51. The output unit 43 includes the recording medium 5
1 is not limited to the one recorded and output.
A display device that displays and outputs the binocular stereoscopic image evaluation value calculated by the binocular stereoscopic image evaluation value calculating unit 49 such as an RT or an LCD may be used, or a binocular stereoscopic image evaluation value calculation such as a printer. A recording device that records and outputs the binocular stereoscopic image evaluation value calculated by the unit 49 on recording paper may be used.

Next, the operation of the present embodiment will be described. In order to evaluate a binocular stereoscopic image with the binocular stereoscopic image evaluation device 80, the recording medium 50 on which the binocular stereoscopic image evaluation processing program and necessary data are recorded is set in the input unit 41 and recorded. The computer 81 stores the binocular stereoscopic image evaluation processing program and necessary data recorded on the medium 50.
In an internal memory (not shown).

In this state, the recording medium 50 on which the left-eye and right-eye binocular stereoscopic images obtained by the image input device are recorded is set in the input section 41, and the user selects the visual characteristic selecting section 74. Then, a visual characteristic selection procedure process for selecting one or more types of the visual characteristic information of the human being used for the image evaluation from the visual characteristic information group stored in the visual characteristic information group storage unit 75 is performed.

When the human visual characteristic is selected, the computer 81 operates the binocular stereoscopic image evaluation device 80 to operate the computer 81 for the left eye and the right eye recorded on the recording medium 50 set in the input section 41. The binocular corresponding region extracting unit 44 performs image input procedure processing for independently capturing the binocular stereoscopic images of the left and right eyes into the binocular corresponding region extracting unit 44. When observing an image with both eyes, a binocular-corresponding region extraction procedure is performed in which one region pair or a plurality of region pair groups each observed as one object is extracted by a predetermined method.

The computer 81 converts the physical characteristic amount (for example, image density distribution) of the image extracted into one or a plurality of region pairs by the binocular corresponding region extracting unit 44 into the physical characteristic amount converting unit 45. Then, if necessary, a physical characteristic amount conversion procedure process for independently converting the physical characteristic amount into another appropriate physical characteristic amount (for example, a reflectance distribution or the like) for the left eye and the right eye is performed.

Next, the computer 81 calculates a monocular image evaluation value calculating section 82 from the physical characteristic amounts of the two images for the left eye and the right eye converted by the physical characteristic amount In consideration of the image quality that can be perceived by the user, the spatial visual characteristics of humans and the temporal visual characteristics of humans, which are the human visual characteristics selected by the visual characteristic selecting unit 74 and input from the visual characteristic information group storage unit 75. , A monocular image evaluation value calculation procedure for independently calculating a monocular image evaluation value for the left eye and the right eye is performed. In addition, the computer 81 calculates the physical characteristic amounts of the two images for the left eye and the right eye converted by the physical characteristic amount conversion unit 45 by the inter-image calculation unit 47 for the left eye such as the inter-image averaging. After performing an inter-image calculation procedure for converting the image into a physical characteristic amount distribution of one image by performing an inter-image calculation for the right eye, the binocular image evaluation value calculation unit 83 executes this one physical characteristic calculation. The amount distribution is calculated by taking into account the human spatial visual characteristics and the human temporal visual characteristics which are the human visual characteristics selected by the visual characteristic selecting unit 74 and input from the visual characteristic information group storage unit 75. Then, a binocular image evaluation value calculation procedure for calculating a binocular image evaluation value is performed.

The computer 81 uses the binocular stereoscopic image evaluation value calculator 49 to calculate the monocular image evaluation value calculator 82.
A binocular stereoscopic image evaluation value calculation procedure for calculating a binocular stereoscopic image evaluation value from the binocular image evaluation value calculated by the binocular image evaluation value calculation unit 83 and the calculated monocular image evaluation value is performed. Then, the calculated binocular stereoscopic image evaluation value is recorded on the recording medium 51 via the output unit 43. Computer 8
1 displays and outputs a binocular stereoscopic image evaluation value when the output unit 43 is a display device, and records and outputs a binocular stereoscopic image evaluation value on a recording paper when the output unit 43 is a recording device. Let it.

[0209] As described above, the binocular stereoscopic image evaluation apparatus 80 of the present embodiment records, on the recording medium 50, a program that uses a time characteristic as a human visual characteristic.

Therefore, even when an image is displayed on a display system that repeats blinking in a short time, such as a CRT or a movie, using an information processing apparatus such as a computer 81, and is presented in a chronological image presentation method. It is possible to calculate an image quality evaluation value of a binocular stereoscopic image in consideration of temporal characteristics of human vision with respect to flicker and the like, and to obtain an image of a binocular stereoscopic image without being affected by flicker and the like. The quality can be evaluated with higher accuracy.

The invention made by the present inventor has been specifically described based on the preferred embodiments. However, the present invention is not limited to the above, and various modifications can be made without departing from the gist of the invention. It goes without saying that it is possible.

[0212]

According to the binocular stereoscopic image evaluation apparatus of the first aspect of the present invention, the left-eye image and the right-eye image are independently presented to the left and right eyes, and the binocular stereoscopic function of the observer is provided. Input the images for the left and right binoculars of the binocular stereoscopic image that allows the subject to be observed stereoscopically using the image on the pseudo plane different from the actual image presentation plane from the images for the left and right eyes The physical characteristic amounts of the images for the left and right eyes of the evaluated image observed as the same object are independently extracted, and the predetermined visual characteristics of the human right and left eyes are extracted from the extracted physical characteristic amounts for the left and right eyes. Is used to independently calculate the monocular image evaluation value,
Also, after performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, a binocular image is obtained using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human. The evaluation value is calculated, the binocular stereoscopic image evaluation value is calculated using the monocular image evaluation value and the binocular image evaluation value, and the image quality of the input image is evaluated. The evaluation value of the image quality of the binocular stereoscopic image in which the perception by the eyes is mixed can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with high accuracy.

According to the binocular stereoscopic image evaluation device of the second aspect of the present invention, since the visual characteristic corresponding to the color information is used as the human visual characteristic, not only the luminance information but also the color information is included. The evaluation value of the image quality of the observable binocular stereoscopic image can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

According to the binocular stereoscopic image evaluation apparatus of the third aspect, the human visual characteristic corresponding to at least one piece of optical attribute information is obtained from the human visual characteristic corresponding to a plurality of optical attribute information. Is selected, and the selected human visual characteristic is used as the human visual characteristic to be used in the evaluation of the binocular stereoscopic image. Even if the optical attribute information necessary for the calculation of the binocular stereoscopic image evaluation differs due to different methods, e.g. The evaluation value of the image quality of the image can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

According to the binocular stereoscopic image evaluation apparatus of the fourth aspect of the present invention, since the one corresponding to the time characteristic is used as the human visual characteristic, the image is presented by the temporal image presentation method. In such a case, the evaluation value of the image quality of the binocular stereoscopic image can be calculated in consideration of the temporal characteristics of human vision with respect to flicker and the like. The image quality of the stereoscopic image can be evaluated with higher accuracy.

According to the binocular stereoscopic image evaluation method of the invention described in claim 5, the left-eye image and the right-eye image are independently presented to the left and right eyes, and the binocular stereoscopic function of the observer is used. Input the images for both the left and right eyes of the binocular stereoscopic image that allows the subject to be viewed three-dimensionally, and use the same image on the pseudo plane different from the actual image presentation surface from the images for the left and right eyes. The physical characteristic amounts of the images for the left and right eyes of the evaluated image observed as an object are independently extracted, and a predetermined human visual characteristic is used for the left and right eyes from the extracted physical characteristic amounts for the left and right eyes. After calculating the monocular image evaluation values independently of each other, and performing an inter-image operation on the extracted physical characteristic amount to obtain one piece of image information, the image information obtained by the inter-image operation and the human The binocular vision image evaluation value is calculated using the predetermined visual characteristics of Since the binocular stereoscopic image evaluation value is calculated using the monocular image evaluation value and the binocular image evaluation value, and the image quality of the input image is evaluated, both types of perception by a single eye and by both eyes are mixed. The evaluation value of the image quality of the stereoscopic image can be accurately calculated, and the image quality of the stereoscopic image can be evaluated with high accuracy.

According to the binocular stereoscopic image evaluation method of the sixth aspect of the present invention, since a visual characteristic corresponding to color information is used as a human visual characteristic, not only luminance information but also color information is included. The evaluation value of the image quality of the observable binocular stereoscopic image can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

According to the binocular stereoscopic image evaluation method of the present invention, a human visual characteristic corresponding to at least one piece of optical attribute information is obtained from a human visual characteristic corresponding to a plurality of optical attribute information. Is selected, and the selected human visual characteristic is used as the human visual characteristic to be used in the evaluation of the binocular stereoscopic image. Even if the optical attribute information necessary for the calculation of the binocular stereoscopic image evaluation differs due to different methods, e.g. The evaluation value of the image quality of the image can be calculated with high accuracy, and the image quality of the binocular stereoscopic image can be evaluated with higher accuracy.

According to the binocular stereoscopic image evaluation method of the present invention, since an image corresponding to the temporal characteristic is used as the human visual characteristic, the image is presented by the temporal image presentation method. In such a case, the evaluation value of the image quality of the binocular stereoscopic image can be calculated in consideration of the temporal characteristics of human vision with respect to flicker and the like. The image quality of the stereoscopic image can be evaluated with higher accuracy.

According to the recording medium of the ninth aspect,
Left and right binocular images of a binocular stereoscopic image in which an image for the left eye and an image for the right eye are independently presented to the left and right eyes and a target is stereoscopically viewed using a binocular stereoscopic function of an observer. Enter
From the images for the left and right eyes, the physical characteristic amounts of the images for the left and right eyes of the evaluated image observed as the same object on a pseudo plane different from the actual image presentation surface are independently extracted, A monocular image evaluation value is independently calculated for each of the left and right eyes using predetermined human visual characteristics from the extracted physical characteristics for the left and right eyes, and an inter-image calculation is performed on the extracted physical characteristics. Is performed to obtain one piece of image information. Then, a binocular image evaluation value is calculated using the image information obtained by the inter-image calculation and predetermined human visual characteristics,
A binocular stereoscopic image evaluation value is calculated using the monocular image evaluation value and the binocular image evaluation value, and a program for evaluating the image quality of the input image is recorded on a recording medium readable by an information processing device such as a computer. Since it is recorded, it is possible to accurately calculate the image quality evaluation value of a binocular stereoscopic image in which the perception by a single eye and the perception by both eyes are mixed, using an information processing device such as a computer. The image quality of a binocular stereoscopic image can be evaluated.

According to the recording medium of the tenth aspect of the present invention, since a program using visual characteristics corresponding to color information as human visual characteristics is recorded on the recording medium, an information processing device such as a computer can be used. It is possible to calculate the image quality evaluation value of a binocular stereoscopic image that can be observed not only with luminance information but also with color information with high accuracy, and evaluate the image quality of a binocular stereoscopic image with higher accuracy can do.

According to the recording medium of the eleventh aspect, a human visual characteristic corresponding to at least one piece of optical attribute information is selected from a human visual characteristic corresponding to a plurality of pieces of optical attribute information. Since a program using the selected human visual characteristic is recorded on the recording medium as the human visual characteristic used in the evaluation of the stereoscopic image, the binocular stereoscopic image It is possible to appropriately cope with a case where the presentation method is different, for example, a color filter method, a polarizing glasses method, a temporal method, and the like, and the optical attribute information necessary for the calculation of the binocular stereoscopic image evaluation is different. It is possible to calculate the evaluation value of the image quality of the binocular stereoscopic image with high versatility, and to evaluate the image quality of the binocular stereoscopic image with higher accuracy.

According to the recording medium of the twelfth aspect of the present invention, a program that uses a time characteristic as a human visual characteristic is recorded in the recording medium, so that an information processing apparatus such as a computer is used. Therefore, even when the image is presented by the temporal image presentation method, it is possible to calculate the evaluation value of the image quality of the binocular stereoscopic image in consideration of the temporal characteristics of human vision with respect to flicker and the like. Thus, the image quality of the binocular stereoscopic image can be evaluated with higher accuracy without being affected by flicker or the like.

[Brief description of the drawings]

FIG. 1 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which a first embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention is applied.

FIG. 2 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which a second embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention is applied.

FIG. 3 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which a third embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium according to the present invention is applied.

FIG. 4 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which a fourth embodiment of a binocular stereoscopic image evaluation apparatus, a binocular stereoscopic image evaluation method, and a recording medium of the present invention is applied.

FIG. 5 is a binocular stereoscopic image evaluation method to which the binocular stereoscopic image evaluation method, the binocular stereoscopic image evaluation method, and the recording medium according to the fifth embodiment of the present invention are applied. The figure which shows a procedure.

FIG. 6 shows a binocular stereoscopic image evaluation method to which the binocular stereoscopic image evaluation method, the binocular stereoscopic image evaluation method, and the recording medium according to the sixth embodiment of the present invention are applied. The figure which shows a procedure.

FIG. 7 shows a binocular stereoscopic image evaluation method, a binocular stereoscopic image evaluation method, and a binocular stereoscopic image evaluation method of a seventh embodiment of a recording medium according to the present invention. The figure which shows a procedure.

FIG. 8 shows a binocular stereoscopic image evaluation method to which the binocular stereoscopic image evaluation method, the binocular stereoscopic image evaluation method, and the recording medium according to the eighth embodiment of the present invention are applied. The figure which shows a procedure.

FIG. 9 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which the storage medium according to the ninth embodiment of the binocular stereoscopic image evaluation apparatus, the binocular stereoscopic image evaluation method, and the recording medium of the present invention is applied. FIG.

FIG. 10 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which the storage medium of the tenth embodiment of the binocular stereoscopic image evaluation apparatus, the binocular stereoscopic image evaluation method, and the recording medium of the present invention is applied. FIG.

FIG. 11 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which the storage medium of the eleventh embodiment of the binocular stereoscopic image evaluation apparatus, the binocular stereoscopic image evaluation method, and the recording medium of the present invention is applied. FIG.

FIG. 12 is a block diagram of a main part of a binocular stereoscopic image evaluation apparatus to which the storage medium of the twelfth embodiment of the binocular stereoscopic image evaluation apparatus, the binocular stereoscopic image evaluation method, and the recording medium of the present invention is applied. FIG.

[Explanation of symbols]

 1, 10 to 80 binocular stereoscopic image evaluation device 2 image input unit 3 binocular corresponding region extraction unit 4 physical characteristic quantity conversion unit 5, 12, 21, 31 monocular image evaluation value calculation unit 6, 13 image calculation unit 7, 14, 22, 32 Binocular image evaluation value calculation unit 8, 15 Binocular stereo image evaluation value calculation unit 11 Color space conversion unit 23 Visual characteristic selection unit 24 Visual characteristic information group storage unit 41 Input unit 42, 61, 71, 81 Computer 43 Output unit 44 Binocular corresponding area extraction unit 45 Physical characteristic amount conversion unit 46, 63, 72, 82 Monocular image evaluation value calculation unit 47, 64 Image calculation unit 48, 65, 73, 83 Binocular image evaluation value calculation unit 49, 66 Binocular stereoscopic image evaluation value calculation unit 50, 51 Recording medium 62 Color space conversion unit 74 Visual characteristic selection unit 75 Visual characteristic information group storage unit

Claims (12)

[Claims] An image for left eye and an image for right eye are independently presented to the left and right eyes, and the left and right sides of a binocular stereoscopic image for stereoscopically observing an object using a binocular stereoscopic function of an observer. Image input means for inputting images for both eyes, and the left and right images input from the image input means are observed as the same object on a pseudo plane different from the actual image presentation surface Binocular corresponding region extracting means for independently extracting the physical characteristic amounts of the left and right binocular images of the evaluated image, and the left and right binocular from the left and right binocular physical characteristic amounts extracted by the binocular corresponding region extracting unit. A monocular image evaluation value calculation unit that independently calculates a monocular image evaluation value using predetermined human visual characteristics, and a physical characteristic amount for the left and right eyes extracted by the binocular corresponding region extraction unit. Perform inter-image operation to obtain one image information Inter-image calculating means, binocular image evaluation value calculating means for calculating a binocular image evaluation value using the image information obtained by the inter-image calculation and a predetermined visual characteristic of a human, and the monocular image Using the binocular image evaluation value calculated by the monocular image evaluation value of the left and right eyes calculated by the evaluation value calculating means and the binocular image evaluation value calculated by the binocular image evaluation value calculating means, the image evaluation value of the binocular stereoscopic image is calculated. Binocular stereoscopic image evaluation value calculating means for calculating, and evaluating the image quality of the input image. 2. The monocular image evaluation value calculation means and the binocular image evaluation value calculation means use a visual characteristic corresponding to color information as the human visual characteristic. Binocular stereoscopic image evaluation device. 3. The binocular stereoscopic image evaluation apparatus according to claim 1, wherein said visual property storage means stores human visual properties corresponding to a plurality of pieces of optical attribute information. The image processing apparatus further includes a visual characteristic selecting unit for selecting a characteristic, wherein the monocular image evaluation value calculating unit and the binocular image evaluation value calculating unit calculate the visual characteristic selected by the visual characteristic selecting unit as the human visual characteristic. The binocular stereoscopic image evaluation apparatus according to claim 1, wherein the apparatus is used. 4. The binocular stereoscopic image evaluation apparatus according to claim 1, wherein the human visual characteristics correspond to time characteristics. 5. A left-right image of a binocular stereoscopic image in which an image for a left eye and an image for a right eye are independently presented to the left and right eyes, and a subject is stereoscopically observed using a binocular stereoscopic function of an observer. An image input procedure for inputting a binocular image, and the same object is observed on a pseudo plane different from the actual image presentation plane from the left and right binocular images input in the image input procedure. A binocular corresponding region extraction procedure for independently extracting the physical characteristic amounts of the left and right binocular images of the evaluated image, and a left and right binocular physical characteristic amount extracted in the binocular corresponding region extraction procedure. A monocular image evaluation value calculation procedure for independently calculating a monocular image evaluation value for each eye using a predetermined human visual characteristic, and the physical characteristic amounts for the left and right eyes extracted in the binocular corresponding region extraction procedure. By performing an inter-image operation on the
An inter-image calculation procedure as individual image information, and a binocular image evaluation value calculation step of calculating a binocular image evaluation value using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human Using the binocular image evaluation value calculated by the monocular image evaluation value of the left and right eyes calculated by the monocular image evaluation value calculating procedure and the binocular image evaluation value calculated by the binocular image evaluation value calculating procedure. A binocular stereoscopic image evaluation value calculating step of calculating an image evaluation value of the image, and evaluating the image quality of the input image. 6. A method according to claim 5, wherein said monocular image evaluation value calculating step and said binocular image evaluation value calculating step use visual characteristics corresponding to color information as said human visual characteristics. Binocular stereoscopic image evaluation method. 7. The visual characteristic selection method according to claim 1, wherein the binocular stereoscopic image evaluation method selects a human visual characteristic corresponding to at least one piece of optical attribute information from a human visual characteristic corresponding to a plurality of optical attribute information. The method further comprising the step of calculating the monocular image evaluation value and the step of calculating the binocular image evaluation value using the visual characteristic selected in the visual characteristic selecting step as the human visual characteristic. Item 6. The binocular stereoscopic image evaluation method according to Item 5. 8. The binocular stereoscopic image evaluation method according to claim 5, wherein said human visual characteristics correspond to temporal characteristics. 9. A binocular stereoscopic image in which an image for the left eye and an image for the right eye are independently presented to the left and right eyes, and a subject is stereoscopically observed using a binocular stereoscopic function of an observer. An image input procedure for inputting a binocular image, and the same object is observed on a pseudo plane different from the actual image presentation plane from the left and right binocular images input in the image input procedure. A binocular corresponding region extraction procedure for independently extracting the physical characteristic amounts of the left and right binocular images of the evaluated image, and a left and right binocular physical characteristic amount extracted in the binocular corresponding region extraction procedure. A monocular image evaluation value calculation procedure for independently calculating a monocular image evaluation value for each eye using a predetermined human visual characteristic, and the physical characteristic amounts for the left and right eyes extracted in the binocular corresponding region extraction procedure. By performing an inter-image operation on the
An inter-image calculation procedure as individual image information, and a binocular image evaluation value calculation step of calculating a binocular image evaluation value using the image information obtained by the inter-image operation and a predetermined visual characteristic of a human Using the binocular image evaluation value calculated by the monocular image evaluation value of the left and right eyes calculated by the monocular image evaluation value calculating procedure and the binocular image evaluation value calculated by the binocular image evaluation value calculating procedure. And a binocular stereoscopic image evaluation value calculating procedure for calculating an image evaluation value of the image. 10. The recording medium according to claim 1, wherein said monocular image evaluation value calculating step and said binocular image evaluation value calculating step use a visual characteristic corresponding to color information as said human visual characteristic. 10. The recording medium according to claim 9, wherein the recording medium is recorded. 11. The visual characteristic selecting step, as the program, for selecting, from the human visual characteristics corresponding to a plurality of optical attribute information, a human visual characteristic corresponding to at least one piece of optical attribute information. Wherein the monocular image evaluation value calculating step and the binocular image evaluation value calculating step record a program that uses the visual characteristic selected in the visual characteristic selecting step as the human visual characteristic. The recording medium according to claim 9, wherein 12. The recording medium according to claim 9, wherein the recording medium records a program in which the human visual characteristics correspond to time characteristics as the program. Medium.