CN115706784B - Measuring method and related device for projection image quality noise point of projector - Google Patents
Measuring method and related device for projection image quality noise point of projector Download PDFInfo
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Abstract
The invention discloses a measuring method of projector projection image quality noise, which is characterized in that the repeated occurrence probability of each noise in a plurality of projection images is counted, the higher the repeated occurrence probability of the noise is, the more stable the noise is, the vision is not affected, and human eyes feel comfortable when watching the noise, because compared with the stable noise, the tolerance of human eyes to unstable noise is lower. The confusion of the projection image is calculated through the repetition probability, so that the confusion represents the proportion of unstable noise points in the noise point particles to the projection image, the greater the confusion is, the more the confusion is seen by the human eyes, the quality of the projection image of the projector can be represented through the confusion, and the measurement of the quality of the projection image is realized. The invention also provides a measuring device for the projector projection image quality noise, measuring equipment for the projector projection image quality noise and a computer readable storage medium, and the measuring device has the same beneficial effects.
Description
Technical Field
The present invention relates to the field of image quality detection, and in particular, to a method for measuring image quality noise projected by a projector, a device for measuring image quality noise projected by a projector, and a computer readable storage medium.
Background
The projectors are mostly implemented based on DLP (Digital Light Processing ) technology, which is mainly based on DMD (digital micromirror device) chips for projection. However, noise generation in the image projected by the DMD chip is unavoidable, and the noise generation process may also be referred to as dither image error. Because at any instant in time the position of each micromirror of the DLP chip is either fully on to present maximum brightness or fully off to present black. DLP micro-mirrors have no way to "partially turn on" to appear gray as the liquid crystal of an LCD. Thus, the DLP chip is gray by turning the micromirror back and forth very quickly, so that the eye can average the "on" and "off" states by turning on for a sufficient time to obtain the desired brightness level, a method called dithering. It works quite well for grey scale presentation, but it produces some visible instability in a continuous area, such as most in dark areas, a particulate bright spot, a problem known as dither image errors. The bright spot looks like a digital noise spot, however, the bright spot is an image error caused by a DLP technology rather than a signal, and a person can feel the jumping of two spots in a sense, so that the sense of experience effect of the person on the image quality is finally affected.
In the present stage, no theorem is given for the strength measurement standard of the projection noise point, and no suitable measuring and quantifying method and tool for the noise point are given. How to quantitatively measure the noise of the projected image of the projector is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a measuring method for the noise of the projected image quality of a projector, which can measure the projected image quality; another object of the present invention is to provide a measuring apparatus for projector projection image quality noise, a measuring device for projector projection image quality noise, and a computer-readable storage medium, which can measure the projected image quality.
In order to solve the above technical problems, the present invention provides a method for measuring noise of projection image quality of a projector, comprising:
acquiring projection images projected by a plurality of target projectors through an image acquisition device;
extracting noise particles in the projection image;
calculating the repeated probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles;
calculating the confusion degree of the projection image according to the repetition probability; the degree of confusion is inversely related to the repetition probability.
Optionally, the calculating the repetition probability of each noise particle in each projection image according to the extracted noise particles includes:
calculating the repeated occurrence times of the noise particles in the projection image according to the noise particles;
when the number of repeated occurrence times is zero, setting the repeated probability of the corresponding noise particles to be zero;
and when the repeated occurrence number is larger than zero, adding the repeated occurrence number to a first preset value and dividing the first preset value by the number of projection images to obtain the repeated probability of the noise particles.
Optionally, the calculating the confusion degree of the projection image according to the repetition probability includes:
dividing the sum of the repetition probabilities by the number of the noise particles to obtain noise repetition probability;
and subtracting the noise repetition probability by a second preset value to obtain the confusion degree of the projection image.
Optionally, after the extracting the noise particles from the projection image, the method further includes:
fitting the noise particles into a noise pattern with a preset shape;
calculating the picture duty ratio of the noise particles according to the area of the noise pattern; the picture duty ratio is the ratio of the noise figure area to the projected image area.
Optionally, calculating the picture duty ratio of the noise particles according to the area of the noise pattern includes:
calculating the proportion of the area of the noise figure pattern in the projection image to the area of the projection image, and taking the proportion as the duty ratio of the projection image;
and calculating the average value of all the duty ratios as a picture duty ratio.
Optionally, after calculating the confusion of the projection image according to the repetition probability, the method further includes:
calculating the noise intensity value according to the picture duty ratio and the confusion degree; the noise intensity value is positively correlated with the picture duty cycle, and the noise intensity value is positively correlated with the confusion.
Optionally, the slope of the noise strength value is positively correlated with the picture duty cycle, and the slope of the noise strength value is positively correlated with the confusion.
The invention also provides a measuring device for the projection image quality noise point of the projector, which comprises:
the acquisition module is used for acquiring projection images projected by the multiple target projectors through the image acquisition equipment;
the extraction module is used for extracting noise particles in the projection image;
the repetition probability module is used for calculating the repetition probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles;
the confusion degree module is used for calculating the confusion degree of the projection image according to the repetition probability; the degree of confusion is inversely related to the repetition probability.
The invention also provides a measuring device for the image quality noise of the projector, which comprises:
a memory: for storing a computer program;
a processor: a step for implementing the method for measuring the image quality noise projected by the projector according to any one of the above when executing the computer program.
The present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method for measuring the image quality noise of a projector as described in any of the above.
The invention provides a measuring method of projector projection image quality noise, which comprises the steps of obtaining projection images projected by a plurality of target projectors through image acquisition equipment; extracting noise particles in the projection image; calculating the repeated probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles; calculating the confusion degree of the projection image according to the repetition probability; the degree of confusion is inversely related to the repetition probability.
By counting the probability of the repeated occurrence of each noise point in the plurality of projection images, the higher the repeated occurrence probability of the noise point is, the more stable the noise point is, the less vision is affected, and the human eyes are comfortable to watch the noise point because the tolerance of the human eyes to unstable noise points is lower compared with that of stable noise points. The confusion of the projection image is calculated through the repetition probability, so that the confusion represents the proportion of unstable noise points in the noise point particles to the projection image, the greater the confusion is, the more the confusion is seen by the human eyes, the quality of the projection image of the projector can be represented through the confusion, and the measurement of the quality of the projection image is realized.
The invention also provides a measuring device for the image quality noise of the projector, measuring equipment for the image quality noise of the projector and a computer readable storage medium.
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For a clearer description of embodiments of the invention or of the prior art, the drawings that are used in the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for measuring image quality noise of a projector according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for measuring image noise projected by a projector according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an image acquisition process;
FIG. 4 is a block diagram of a measuring apparatus for measuring image noise of a projector according to an embodiment of the present invention;
fig. 5 is a block diagram of a measurement apparatus for measuring image quality noise of a projector according to an embodiment of the present invention.
Detailed Description
The core of the invention is to provide a measuring method for the noise of the projection image quality of a projector. In the prior art, no theorem is currently given on the strength measurement standard of projection noise points, and no suitable measuring and quantifying method and tool for the noise points are also given.
The invention provides a measuring method of the image quality noise of the projector, which comprises the steps of obtaining projection images projected by a plurality of target projectors through image acquisition equipment; extracting noise particles in the projection image; calculating the repeated probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles; calculating the confusion degree of the projection image according to the repetition probability; the degree of confusion is inversely related to the repetition probability.
By counting the probability of the repeated occurrence of each noise point in the plurality of projection images, the higher the repeated occurrence probability of the noise point is, the more stable the noise point is, the less vision is affected, and the human eyes are comfortable to watch the noise point because the tolerance of the human eyes to unstable noise points is lower compared with that of stable noise points. The confusion of the projection image is calculated through the repetition probability, so that the confusion represents the proportion of unstable noise points in the noise point particles to the projection image, the greater the confusion is, the more the confusion is seen by the human eyes, the quality of the projection image of the projector can be represented through the confusion, and the measurement of the quality of the projection image is realized.
In order to better understand the aspects of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and detailed description. It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a method for measuring image noise of a projector according to an embodiment of the invention.
Referring to fig. 1, in an embodiment of the present invention, a method for measuring a noise point of a projection image quality of a projector includes:
s101: and acquiring projection images projected by the multiple target projectors through the image acquisition equipment.
In the embodiment of the invention, the target projector is preferably controlled to project the gray level images, and then in the step, the gray level images projected by a plurality of target projectors can be continuously shot through the pre-installed image acquisition equipment so as to form the projection images. Specific content such as the shooting environment and the like about the specific positional relationship between the image capturing device and the target projector will be described in detail in the following embodiments of the present invention, and will not be described herein. The number of projection images specifically obtained in this step may be set according to the actual situation, and is not specifically limited herein. Obviously, the larger the number of projection images, the more accurate the final calculation result.
S102: and extracting noise particles in the projection image.
In this step, it is necessary to extract noise particles from each projection image. In general, in this step, it is necessary to perform processes such as image mean filtering, image addition and subtraction, image enhancement, fourier transform, gaussian convolution, binarization, and morphological processing on each projection image to extract noise particles from the projection image. For the specific content of the above-mentioned noise extracting particles, reference may be made to the prior art, and no further description is given here.
S103: and calculating the repeated probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles.
In this step, the probability of repeated occurrence of each noise particle in each projection image in other projection images, that is, the repetition probability, is counted, and the repetition probability may be specifically calculated according to the number of repeated occurrence of each noise particle in each projection image in other projection images. The specific calculation process of the repetition probability will be described in detail in the following embodiments of the present invention, and will not be described herein. In this step, the higher the repetition probability of a certain noise particle, the more stable the noise particle in the projection screen, the less flickering will occur. Thus, the human eye generally has a high tolerance for stable noise particles, and the higher the repetition probability, the less noticeable the human eye. When the two noise particles are determined to be coincident in this step, the two noise particles can be considered to be coincident when the coordinates of the two noise particles are located in the same region, that is, the coordinates of the two noise particles are approximately equal, and the distance between the coordinates of the two noise particles does not exceed the distance threshold. The size of the same area or the specific value of the distance threshold may be set according to the actual situation, and is not limited herein.
S104: the degree of confusion of the projection image is calculated according to the repetition probability.
In an embodiment of the present invention, the degree of confusion is inversely related to the repetition probability. The clutter is the proportion of unstable noise in the noise particles occupying the projection image, the clutter generally needs to be calculated according to the repetition probability of all the noise particles, and the clutter is also generally inversely related to the repetition probability of a certain noise particle, that is, when the repetition probability of a certain noise particle is high, the contribution of the clutter is lower. The specific calculation process of the confusion degree will be described in detail in the following embodiments of the present invention, and will not be described in detail here.
The measuring method of the image quality noise of the projector comprises the steps of obtaining projection images projected by a plurality of target projectors through image acquisition equipment; extracting noise particles in the projection image; calculating the repeated probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles; calculating the confusion degree of the projection image according to the repetition probability; the degree of confusion is inversely related to the repetition probability.
By counting the probability of the repeated occurrence of each noise point in the plurality of projection images, the higher the repeated occurrence probability of the noise point is, the more stable the noise point is, the less vision is affected, and the human eyes are comfortable to watch the noise point because the tolerance of the human eyes to unstable noise points is lower compared with that of stable noise points. The confusion of the projection image is calculated through the repetition probability, so that the confusion represents the proportion of unstable noise points in the noise point particles to the projection image, the greater the confusion is, the more the confusion is seen by the human eyes, the quality of the projection image of the projector can be represented through the confusion, and the measurement of the quality of the projection image is realized.
The specific details of the method for measuring the noise of the projection image quality of the projector according to the present invention will be described in detail in the following embodiments of the invention.
Referring to fig. 2 and fig. 3, fig. 2 is a flowchart of a method for measuring noise of projection image quality of a projector according to an embodiment of the invention; fig. 3 is a schematic diagram of an image acquisition process.
Referring to fig. 2, in an embodiment of the present invention, a method for measuring a noise point of a projection image quality of a projector includes:
s201: and acquiring projection images projected by the multiple target projectors through the image acquisition equipment.
Referring to fig. 3, in an embodiment of the present invention, a gray image projected by a projector may be specifically set to be a 5% gray image, and correspondingly, the projected image in this step may be a 5% gray image, that is, a 5% gray image, because noise particles presented by the projector are most obvious when the gray image is a 5% gray image. Of course, in the embodiment of the present invention, the gray value of the projected image may be specifically between 2% and 20%, including the end point value. In embodiments of the present invention, the projection distance of the target projector is typically set at 1500mm to 1856mm, inclusive; the acquisition distance of the over-image acquisition equipment is usually set to be about 450mm, and the shooting angle is usually set to form an included angle of 0-15 degrees with the normal line of the projection surface, wherein the included angle comprises an endpoint value; the exposure time of the image pickup apparatus is usually set to 1/125ms, the f-number thereof is usually set to f/6.3, and the sensitivity ISO is usually set to 12800. In particular, this step is usually performed in a dark environment, i.e. the image acquisition device is required to ensure that the whole process is performed in the dark when acquiring the projection image, and the projection brightness of the target projector is usually set to be standard.
The rest of this step is already described in S101 in the above embodiment of the present invention, and will not be described herein.
S202: and extracting noise particles in the projection image.
In this step, it is generally necessary to first divide a region with a fixed position and a width of w×h and a height of 500pixel to 1500pixel from each projection image to perform noise image analysis, which may be understood as first referring to the projection image as an image with the above size, and then sequentially performing processes such as image mean filtering, image addition and subtraction, image enhancement, fourier transformation, gaussian convolution, binarization, morphological processing, and the like on the image to extract noise particles from the projection image.
S203: and fitting the noise particles into a noise pattern with a preset shape.
In step, a circle fit is typically performed for each noise particle to fit the noise particle to a circle. Of course, the noise particles may also be fitted to other patterns in this step, as the case may be, without specific limitation. When fitting the noise particles to a circle, the radius of the circle may be used to represent each noise particle size value r i In the embodiment of the invention, the average value of the radius of all the noise image patterns in each projection image can be used as the size value of the noise particles in the projection image. That is, in the embodiment of the invention, the size value of each noise point in the single Zhang Touying image can be calculated as r 1 ，r 2 ，r 3 ，…r m Finally, the size value of the noise particles in the projection image is as follows:
afterwards, the number of noise particles in the n projection images can be counted as s 1 ，s 2 ，s 3 ，…，s n 。
S204: and calculating the picture duty ratio of the noise particles according to the area of the noise graph.
In the embodiment of the invention, the picture duty ratio is the proportion of the noise image pattern area to the projection image area.
In this step, the proportion of the noise particles occupying the picture area of the projection image, that is, the picture duty ratio, is calculated according to the area of the noise pattern fitted in S03. The higher the above-mentioned picture duty cycle, the more obvious the noise point is in the picture, and the easier the human eye can recognize.
Specifically, this step generally includes the following steps S2041 and S2042: s2041, calculating the proportion of the noise image area in the projection image to the corresponding projection image area, and taking the proportion as the duty ratio of the projection image.
In this step, the area a=w×h of the projection image may be calculated first, and then the noise particle size r in each projection image and the corresponding noise particle number s of each projection image may be based on the above n The occupied area A of noise particles in each projection image can be calculated Noise point ：
A Noise point ＝s n πr 2 ；
The duty cycle of the noise particle area in each projected image can then be calculated:
Ac＝A/A noise point ；
At this time, for the n Zhang Touying image, the duty ratios thereof are Ac respectively 1 ，Ac 2 ，…，Ac n 。
S2042, an average value of all the duty ratios is calculated as the screen duty ratio.
In this step, the picture duty cycle Ac is specifically calculated Average of ：
The above-mentioned picture duty cycle can represent the proportion of noise granule to whole picture, and the higher the above-mentioned picture duty cycle is, it is more obvious to mean that the noise is in the picture, and the human eye is more easily discernable.
S205: and calculating the repeated occurrence times of the noise particles in the projection image according to the noise particles.
In this step, the number of times c that each noise in each projection image can be repeatedly appeared is counted, that is, the number of times that the j-th noise particle in the i-th projection image repeatedly appears in the same position as the other n-1 projection images is counted, so as to calculate the repetition probability of the noise particle.
S206: when the number of the repeated occurrence is zero, the repetition probability of the corresponding noise particles is set to zero.
S207: when the number of repeated occurrences is greater than zero, the number of repeated occurrences is added to the first preset value and divided by the number of projection images, and the number of the repeated occurrences is used as the repeated probability of noise particles.
The first preset value is usually 1, however, the first preset value may also have other values for other calculation processes, which is not limited herein. In the embodiment of the invention, the repetition probability P of the jth noise particle in the ith projection image is calculated by the following formula i，j ：
Where n is the total number of projection images, when c=0, meaning that the noise particles occur only once in n projection images, the repetition probability of the noise particles is 0; when repeated once, this means that noise particles appear in the same-position n Zhang Touying image twice in total, and thus the repetition probability thereof is 2/n. In the embodiment of the invention, the repetition probability P of each noise particle in each projection image needs to be calculated in turn 1,1 ，P 1,2 ，…，P n，Sn 。
S208: and dividing the repeated probability by the number of the noise particles after summing the repeated probabilities to obtain the noise repeated probability.
In this step, the number S of all noise particles needs to be calculated first:
then the noise repetition probability P needs to be calculated:
s29: and subtracting the noise repetition probability from the second preset value to obtain the confusion of the projection image.
The second preset value is usually 1, but other values of the second preset value may be used in different calculation processes, as the case may be. In this step, the specific calculation yields the degree of confusion P':
P’＝1-P；
the confusion degree is the proportion of unstable noise points in the noise point particles occupying the projection image. It should be noted that, the above-mentioned calculating process of the confusion and the calculating process of the frame duty ratio may be executed in parallel, that is, there is no absolute sequence relationship between S203 to S205 and S206 to S210, and one of the two parts may be executed first, or both of the two parts may be executed in parallel, depending on the specific situation. The limitations are not specifically limited herein.
S210: and calculating the noise intensity value according to the picture duty ratio and the confusion degree.
In the embodiment of the invention, the noise intensity value is positively correlated with the picture duty ratio, and the noise intensity value is positively correlated with the confusion.
In this step, the noise level value may be calculated by combining the duty ratio of the picture calculated in S205 and the confusion degree calculated in S210, where the noise level value directly reflects the noise level of the picture projected by the target projector. Specifically, in the embodiment of the invention, the noise strength value is positively correlated with the picture duty ratio, and the noise strength value is positively correlated with the confusion. Because the noise intensity of one projection device has close relation with the particle size of the noise and the degree of confusion of particles, the noise of the projection devices of different models is large in size, a person can feel that the noise is strong through a first sense, then see the degree of confusion of the particles of the noise, and the smaller the noise jump in the same area is, the weaker the sense is. Therefore, the sense of things seen by people is simulated in the step to carry out data measurement on the strength of the noise, and the problem that the strength results of the noise seen by different people are inconsistent is solved.
Specifically, in the embodiment of the present invention, in general, the slope of the noise strength value is positively correlated with the duty cycle of the picture, and the slope of the noise strength value is positively correlated with the clutter. Namely, as the degree of confusion increases, the noise strength value increases faster and faster; accordingly, as the duty cycle of the picture increases, the noise strength increases faster and faster.
In general, this step may be specifically: and taking the preset first base number as a base, subtracting the logarithm of the degree of confusion from a third preset value, multiplying the logarithm of the degree of confusion by the preset second base number as the base, and subtracting the logarithm of the picture duty ratio from a fourth preset value to serve as the noise intensity value. The preset first base number and the preset second base number may be e, and the second third preset value and the fourth preset value are both 1. Of course, specific values of the preset first base number, the preset second base number, the third preset value and the fourth preset value can be set according to actual situations, and are not limited in detail herein. In this step, the noise strength value NOI can be specifically calculated by the following formula:
NOI＝ln(1-P′)×ln(1-Ac average of )
Due to the above-mentioned degree of confusion P' and picture duty ratio Ac Average of The larger the value calculated by the formula is, the larger the noise point intensity of the target projector is, the projection equipment with the same duty ratio is, the larger the noise point particle confusion is, the stronger the human visual perception is the noise point, so that the NOI value is also the larger, and the trend is consistent with the human visual perception; the larger the duty ratio of the projection equipment with the same degree of confusion is, the larger or more noise particles are represented, the large picture space is occupied, and the intensity of the noise is felt by people to be stronger. Meanwhile, as the degree of confusion and the duty ratio of the picture are increased, the tolerance of human eyes to the picture is poorer and worse, and the picture is more practical. The intensity of the noise point is measured by using the picture duty ratio and the confusion, so that the position change of the projection equipment is reduced, the deviation problem caused by the position and focal length change of the acquisition equipment is solved, the characteristics of the projection picture are good, and the measurement result is stable and accurate.
According to the measuring method for the projector projection image quality noise, provided by the embodiment of the invention, the sense of things seen by a person is simulated to carry out data measurement on the noise strength, so that the problem of inconsistent strength results of the noise seen by different persons is solved. The intensity of the noise points is measured by using the picture duty ratio and the confusion, so that the position change of the projection equipment is reduced, the deviation problem caused by the position and focal length change of the acquisition equipment is solved, the characteristics of the projection picture are good, and the measurement result is stable and accurate.
The following describes a measuring device for image quality noise projected by a projector according to an embodiment of the present invention, and the measuring device for image quality noise projected by the projector and the measuring method for image quality noise projected by the projector described below may be referred to correspondingly.
Referring to fig. 4, fig. 4 is a block diagram illustrating a measurement apparatus for measuring image noise of a projector according to an embodiment of the invention. Referring to fig. 4, the measuring apparatus of the projector projection image quality noise may include:
the acquisition module 100 is configured to acquire projection images projected by a plurality of target projectors through the image acquisition device.
And the extraction module 200 is used for extracting noise particles in the projection image.
And the repetition probability module 300 is used for calculating the repetition probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles.
A confusion degree module 400, configured to calculate a degree of confusion of the projected image according to the repetition probability; the degree of confusion is inversely related to the repetition probability.
Preferably, in an embodiment of the present invention, the repetition probability module 300 includes:
and the frequency counting unit is used for calculating the repeated frequency of the noise particles in the projection image according to the noise particles.
And the zero setting unit is used for setting the repetition probability of the corresponding noise particles to be zero when the repeated occurrence times are zero.
And the calculating unit is used for adding the first preset value to the repeated occurrence number and dividing the first preset value by the number of projection images when the repeated occurrence number is larger than zero, and the calculated number is used as the repeated probability of the noise particles.
Preferably, in an embodiment of the present invention, the confusion module 400 includes:
and the summation unit is used for dividing the number of the noise particles after summing the repetition probabilities to obtain the noise repetition probability.
And the confusion degree unit is used for subtracting the noise repetition probability from a second preset value to obtain the confusion degree of the projection image.
Preferably, in an embodiment of the present invention, the method further includes:
and the pattern fitting module is used for fitting the noise particles into a noise pattern with a preset shape.
The picture duty ratio module is used for calculating the picture duty ratio of the noise particles according to the area of the noise figure; the picture duty ratio is the ratio of the noise figure area to the projected image area.
Preferably, in an embodiment of the present invention, the frame duty ratio module includes:
and the duty ratio unit is used for calculating the proportion of the noise image pattern area in the projection image to the projection image area as the duty ratio of the projection image.
And the picture duty ratio unit is used for calculating the average value of all the duty ratios as the picture duty ratio.
Preferably, in an embodiment of the present invention, the method further includes:
the noise point intensity value module is used for calculating the noise point intensity value according to the picture duty ratio and the confusion degree; the noise intensity value is positively correlated with the picture duty cycle, and the noise intensity value is positively correlated with the confusion.
Preferably, in the embodiment of the present invention, the slope of the noise strength value is positively correlated with the duty cycle of the picture, and the slope of the noise strength value is positively correlated with the clutter.
Preferably, in the embodiment of the present invention, the projection distance of the target projector ranges from 1500mm to 1856mm, including the end point value.
The measuring device for projector projection image quality noise of the present embodiment is used to implement the foregoing measuring method for projector projection image quality noise, so that the detailed description of the measuring device for projector projection image quality noise can be found in the foregoing example portions of the measuring method for projector projection image quality noise, for example, the acquisition module 100, the extraction module 200, the repetition probability module 300, and the confusion module 400 are used to implement steps S101 to S104 in the foregoing measuring method for projector projection image quality noise, respectively, so that the detailed description of the corresponding examples of the embodiments of each portion will be omitted herein.
In the following, a description will be given of a measuring apparatus for image quality noise of projector according to an embodiment of the present invention, where the measuring apparatus for image quality noise of projector described below and the measuring method for image quality noise of projector described above and the measuring device for image quality noise of projector described above may be referred to correspondingly.
Referring to fig. 5, fig. 5 is a block diagram of a measuring apparatus for measuring image noise of a projector according to an embodiment of the invention.
Referring to fig. 5, the measuring apparatus of the projector projecting image quality noise may include a processor 11 and a memory 12.
The memory 12 is used for storing a computer program; the processor 11 is configured to implement the specific content of the method for measuring the image quality noise of the projector according to the embodiment of the invention when executing the computer program.
The processor 11 in the measuring apparatus for projector projection image quality noise of the present embodiment is used to install the measuring device for projector projection image quality noise described in the above embodiment of the invention, and the processor 11 and the memory 12 may be combined to implement the measuring method for projector projection image quality noise described in any of the above embodiments of the invention. Therefore, in the measuring apparatus for the image quality noise projected by the projector, the embodiment of the measuring method for the image quality noise projected by the projector can be found in the foregoing, and the detailed description of the embodiment of each corresponding embodiment will be omitted herein.
The present invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements a method for measuring noise of projected image quality of a projector as described in any of the above embodiments of the present invention. The remainder of this disclosure may refer to the prior art and will not be described further herein.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above describes in detail a method for measuring the image quality noise of a projector, a device for measuring the image quality noise of a projector, and a computer-readable storage medium. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (8)
1. A method for measuring the noise of a projection image quality of a projector, comprising:
acquiring projection images projected by a plurality of target projectors through an image acquisition device;
extracting noise particles in the projection image;
calculating the repeated probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles;
calculating the confusion degree of the projection image according to the repetition probability; the degree of confusion is inversely related to the repetition probability;
the calculating the repeated probability of repeated occurrence of each noise particle in each projection image according to the extracted noise particles comprises the following steps:
calculating the repeated occurrence times of the noise particles in the projection image according to the noise particles;
when the number of repeated occurrence times is zero, setting the repeated probability of the corresponding noise particles to be zero;
when the repeated occurrence times are greater than zero, adding a first preset value to the repeated occurrence times and dividing the first preset value by the number of projection images to obtain the repeated probability of the noise particles;
the calculating the confusion degree of the projection image according to the repetition probability comprises:
dividing the sum of the repetition probabilities by the number of the noise particles to obtain noise repetition probability;
and subtracting the noise repetition probability by a second preset value to obtain the confusion degree of the projection image.
2. The method as recited in claim 1, further comprising:
calculating the noise intensity value according to the confusion and the picture duty ratio;
the picture duty ratio is the proportion of the noise particle fitting graph area to the projected image area, the noise intensity value is positively correlated with the picture duty ratio, and the noise intensity value is positively correlated with the confusion.
3. The method of claim 1, further comprising, after said extracting noise particles in said projected image:
fitting the noise particles into a noise pattern with a preset shape;
calculating the picture duty ratio of the noise particles according to the area of the noise pattern; the picture duty ratio is the ratio of the noise figure area to the projected image area.
4. A method according to claim 3, wherein calculating the picture duty cycle of the noise particles from the area of the noise pattern comprises:
calculating the proportion of the area of the noise figure pattern in the projection image to the area of the projection image, and taking the proportion as the duty ratio of the projection image;
and calculating the average value of all the duty ratios as a picture duty ratio.
5. A method according to claim 3, further comprising, after said calculating the degree of confusion of the projected image from the repetition probability:
calculating the noise intensity value according to the picture duty ratio and the confusion degree; the noise intensity value is positively correlated with the picture duty cycle, and the noise intensity value is positively correlated with the confusion.
6. A measuring device for a projector projection image quality noise, comprising:
the acquisition module is used for acquiring projection images projected by the multiple target projectors through the image acquisition equipment;
the extraction module is used for extracting noise particles in the projection image;
the repetition probability module is used for calculating the repetition probability of repeated occurrence of the noise particles in the projection image according to the extracted noise particles;
the confusion degree module is used for calculating the confusion degree of the projection image according to the repetition probability; the degree of confusion is inversely related to the repetition probability;
the repetition probability module comprises:
the frequency counting unit is used for calculating the repeated frequency of the noise particles in the projection image according to the noise particles;
the zero setting unit is used for setting the repetition probability of the corresponding noise particles to be zero when the repeated occurrence times are zero;
a calculating unit, configured to add a first preset value to the number of repeated occurrences and divide the number of projected images by the number of projected images when the number of repeated occurrences is greater than zero, as a repetition probability of the noise particles;
the confusion degree module comprises:
the summation unit is used for dividing the number of the noise particles after summing the repetition probabilities to obtain the noise repetition probability;
and the confusion degree unit is used for subtracting the noise repetition probability from a second preset value to obtain the confusion degree of the projection image.
7. A measurement device for a projector to project an image quality noise, the device comprising:
a memory: for storing a computer program;
a processor: steps for implementing a method for measuring the noise of the projected image quality of a projector according to any of claims 1 to 5 when executing said computer program.
8. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which when executed by a processor, implements the steps of the method for measuring the image quality noise of a projector according to any one of claims 1 to 5.
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| CN109040743A (en) * | 2018-07-23 | 2018-12-18 | 信利光电股份有限公司 | A kind of random noise test method, device and the readable storage medium storing program for executing of camera |
| CN109698946A (en) * | 2017-10-24 | 2019-04-30 | 深圳市Tcl高新技术开发有限公司 | Projection device Atomatic focusing method, projection device and computer readable storage medium |
| CN110827288A (en) * | 2019-10-08 | 2020-02-21 | 歌尔股份有限公司 | Method and device for extracting target image in projector definition test |
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| KR101820905B1 (en) * | 2016-12-16 | 2018-01-22 | 씨제이씨지브이 주식회사 | An image-based projection area automatic correction method photographed by a photographing apparatus and a system therefor |
| CN111629190A (en) * | 2019-02-28 | 2020-09-04 | 中强光电股份有限公司 | Projection system and projection method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN109698946A (en) * | 2017-10-24 | 2019-04-30 | 深圳市Tcl高新技术开发有限公司 | Projection device Atomatic focusing method, projection device and computer readable storage medium |
| CN109040743A (en) * | 2018-07-23 | 2018-12-18 | 信利光电股份有限公司 | A kind of random noise test method, device and the readable storage medium storing program for executing of camera |
| CN110827288A (en) * | 2019-10-08 | 2020-02-21 | 歌尔股份有限公司 | Method and device for extracting target image in projector definition test |
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