JP2015049195A - Assessment data preparation device, assessment data preparation program, assessment data preparation system and assessment data preparation method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an assessment data preparation device, an assessment data preparation program, and an assessment data preparation system and an assessment data preparation method that prepare assessment data for assessing characteristics of surface treatment films.SOLUTION: An assessment data preparation device 20 according to an embodiment has: a Fourier transformation unit 21B that performs a Fourier transformation of first image data corresponding to a first reflection image of a predetermined image appearing on a surface of a first optical film 31 adhered in a substrate 11 to calculate a first spectrum distribution; a relative spectrum calculation unit 21C that computes a ratio of a second spectrum distribution for reference purposes to the first spectrum distribution and thereby prepares a relative spectrum distribution with respect to th second spectrum distribution; and an assessment data preparation unit 21D that calculates an average value of a plurality of spectrums with respect to the same spatial frequency included in the relative spectrum distribution and prepares assessment data.

Description

  The present invention relates to an apparatus for creating evaluation data for evaluating an optical film as a surface treatment film, a program for creating evaluation data, a system for creating evaluation data, and a method for creating evaluation data.

  On the screen of an image display device such as a liquid crystal display device, in order to suppress reflection of external light, an optical film that has been subjected to a surface treatment that imparts anti-glare properties or the like may be attached (Patent Document 1). reference). Such an optical film is known as a surface treatment film.

JP 2003-279485 A

  Conventionally, evaluation of surface treatment characteristics (for example, antiglare property) in a surface treatment film has been made by sensory evaluation by human eyes, but since there may be variations depending on the evaluator, there is a more objective evaluation method. It was desired.

  Therefore, an object of the present invention is to provide an evaluation data creation device, an evaluation data creation program, an evaluation data creation system, and an evaluation data creation method for creating evaluation data for quantitatively evaluating the characteristics of the surface treatment film. is there.

  An evaluation data creation device according to one aspect of the present invention is an evaluation data creation device that creates evaluation data for evaluating an optical film attached to a screen of an image display device. The evaluation data creation device is a signal obtained by the imaging device taking a first reflected image that appears on the surface of the first optical film when the predetermined image is reflected on the first optical film affixed to the support. A data processing unit for processing data is provided. The data processing unit includes a Fourier transform unit that calculates a first spectral distribution by performing two-dimensional Fourier transform on the first image data corresponding to the first reflected image based on the signal data, and a second spectrum for reference A relative spectral distribution creating unit that calculates a relative spectral distribution by calculating a ratio between the distribution and the first spectral distribution, wherein the second spectrum is a second reference for reference attached to the support. The relative spectrum, which is a spectral distribution obtained by two-dimensional Fourier transform of the second image data corresponding to the second projected image that appears on the surface of the second optical film when the predetermined image is reflected on the optical film. A distribution creation unit, and an evaluation data creation unit that creates an evaluation data by calculating an average value of a plurality of spectra for the same spatial frequency in the relative spectrum distribution. .

  An evaluation data creation program according to another aspect of the present invention is an evaluation data creation program for creating evaluation data for evaluating an optical film attached to a screen of an image display device. The evaluation data creation program causes the imaging device to capture a first reflected image that appears on the surface of the first optical film when the predetermined image is reflected on the first optical film affixed to the support. A data processing step for processing the obtained signal data is executed. The data processing step includes a Fourier transform step of calculating a first spectral distribution by performing a two-dimensional Fourier transform on the first image data corresponding to the first projected image based on the signal data, and a reference second A relative spectral distribution creating step of calculating a relative spectral distribution by calculating a ratio between the spectral distribution and the first spectral distribution, wherein the second spectrum is a second reference spectrum attached to the support. A spectral distribution obtained by two-dimensional Fourier transform of the second image data corresponding to the second projected image that appears on the surface of the second optical film when the predetermined image is reflected on the optical film of Creation of evaluation data by calculating the average value of multiple spectra for the same spatial frequency in the relative spectrum distribution and creating the evaluation data And a degree.

  In the evaluation data creation device and the evaluation data creation program, the first and second spectral distributions are the first and second images in which predetermined images are reflected on the first and second optical films attached to the same support. 2 is a spectral distribution obtained by two-dimensional Fourier transform of first and second image data corresponding to two reflected images. Therefore, the relative spectral distribution represents the surface characteristic of the first optical spectrum based on the surface characteristic of the second optical film. In the above configuration, an average value of a plurality of spectra for the same spatial frequency included in the relative spectrum distribution is calculated. This is equivalent to calculating the average value around the origin of a plurality of spectra having the same spatial frequency when the relative spectral distribution is expressed in a coordinate system with the spatial frequency being 0 as the origin. Thus, spectral information having no azimuth dependency on the spatial frequency can be obtained. Thus, by removing the azimuth angle dependency, the evaluation data does not depend on the predetermined image, and the data reflecting the spatial frequency characteristics of the first optical film with respect to the spatial frequency characteristics of the second optical film is can get. Therefore, by using the evaluation data, the spatial frequency characteristics of the first optical film can be quantitatively evaluated with reference to the spatial frequency characteristics of the second optical film. For example, by selecting a second optical film having a known spatial frequency characteristic, the first optical film can be evaluated using the spatial frequency characteristic.

  In one embodiment, the data processing unit may further include an image data creation unit that creates the first image data by converting the signal data into luminance data. In this case, the Fourier transform unit performs two-dimensional Fourier transform on the first image data created by the image data creation unit. Similarly, in one embodiment, the data processing step may further include an image data creation step of creating first image data by converting signal data into luminance data. In this case, the Fourier transform process performs two-dimensional Fourier transform on the first image data created in the image data creation process.

  Theoretically, the luminance is proportional to the amount of light. However, depending on the imaging device, the signal data that is the output data may not be proportional to the amount of light. If signal data is converted into luminance data to create image data, the first optical film can be evaluated based on image data corresponding to actual brightness.

  In one embodiment, the image data creation unit may create the first image data by converting each of the plurality of signal data into luminance data and combining the converted luminance data. The plurality of signal data are signal data corresponding to first captured images having different exposure amounts in the imaging apparatus. Similarly, in one embodiment, the image data creation step may create the first image data by converting each of the plurality of signal data into luminance data and combining the converted luminance data. The plurality of signal data are signal data corresponding to first captured images having different exposure amounts in the imaging apparatus.

  Since the imaging device has a dynamic range, the actual image brightness may not be obtained by a single shooting, but the image data creation unit respectively outputs a plurality of signal data with different exposure amounts in the imaging device. By converting into luminance data and synthesizing the converted luminance data to create the first image data, it is possible to obtain image data corresponding to an image of actual brightness. Therefore, the first optical film can be evaluated based on image data corresponding to actual brightness.

  An evaluation data creation system according to still another aspect of the present invention includes an image acquisition unit and the evaluation data creation apparatus according to one aspect of the present invention. The image acquisition unit includes a support to which the first optical film is attached, an image display device that is arranged to face the support and displays a predetermined image to be reflected on the first optical film, a support, and an image. A first image that appears on the surface of the first optical film when the predetermined image is reflected between the display device and the first image is reflected on the first optical film, and corresponds to the first image. An imaging device for obtaining signal data. The data processing unit of the evaluation data creation device processes signal data from the imaging device included in the image acquisition unit.

  In the above configuration, the first reflected image reflected on the first optical film attached to the support is the first optical image displayed on the image display device disposed facing the support. It is reflected in the film. In this way, the data processing unit of the evaluation data creation device processes the signal data obtained by photographing the first reflected image appearing on the surface of the first optical film by the imaging device to create the evaluation data. Since the predetermined image displayed on the image display device facing the first optical film is reflected on the first optical film, the influence on the evaluation data due to the season and time can be reduced. Therefore, the first optical film can be evaluated more accurately.

  An evaluation data processing method according to still another aspect of the present invention is an evaluation data creation method for creating evaluation data for evaluating an optical film attached to a screen of an image display device. In the evaluation data creation method, the first reflected image that appears on the surface of the first optical film when the predetermined image is reflected on the first optical film affixed to the support is opposed to the first optical film. A photographing process for photographing with an imaging device arranged in the same manner, a data receiving step in which the evaluation data creation device accepts input of signal data for the first reflected image from the imaging device, and a data creation device inputs to the data creation device A data processing step for processing the processed signal data. The data processing step includes a Fourier transform step in which the data creation device calculates a first spectral distribution by performing two-dimensional Fourier transform on image data corresponding to the first reflected image based on the signal data, and a second reference. A relative spectral distribution creating step of creating a relative spectral distribution by calculating a ratio between the spectral distribution of the first spectral distribution and the first spectral distribution, wherein the second spectral distribution is for reference attached to the support. This is a spectral distribution obtained by two-dimensional Fourier transform of the second image data corresponding to the second reflected image that appears on the surface of the second optical film when the predetermined image is reflected on the second optical film. , Create the evaluation data by calculating the average value of multiple spectra for the same spatial frequency included in the relative spectrum distribution process and relative spectrum It has a value data creation step.

  In the above method, the first and second spectral distributions correspond to the first and second reflected images in which the predetermined images are reflected on the first and second optical films attached to the same support. This is a spectral distribution obtained by two-dimensional Fourier transform of the first and second image data. Therefore, the relative spectral distribution represents the surface characteristic of the first optical spectrum based on the surface characteristic of the second optical film. In the above configuration, an average value of a plurality of spectra for the same spatial frequency included in the relative spectrum distribution is calculated. This is equivalent to calculating the average value around the origin of a plurality of spectra having the same spatial frequency when the relative spectral distribution is expressed in a coordinate system with the spatial frequency being 0 as the origin. Thus, spectral information having no azimuth dependency on the spatial frequency can be obtained. Thus, by removing the azimuth angle dependency, the evaluation data does not depend on the predetermined image, and the data reflecting the spatial frequency characteristics of the first optical film with respect to the spatial frequency characteristics of the second optical film is can get. Therefore, by using the evaluation data, the spatial frequency characteristics of the first optical film can be quantitatively evaluated with reference to the spatial frequency characteristics of the second optical film. For example, by selecting a second optical film having a known spatial frequency characteristic, the first optical film can be evaluated using the spatial frequency characteristic.

  ADVANTAGE OF THE INVENTION According to this invention, the evaluation data creation apparatus, the evaluation data creation program, the evaluation data creation system, and the evaluation data creation method which create the evaluation data for evaluating the characteristic of a surface treatment film can be provided.

FIG. 1 is a diagram illustrating a schematic configuration of an evaluation data creation system including an evaluation data creation device according to an embodiment. FIG. 2 is a flowchart of an evaluation data creation method using the data creation device. FIG. 3 is a schematic diagram for explaining the imaging of a plurality of images having different exposure amounts. FIG. 4A is a diagram illustrating an example of a reflected image reflected on the reference optical film. FIG. 4B is a diagram illustrating an example of a reflected image reflected on the evaluation optical film. FIG. 5 is a diagram for explaining the luminance data conversion. FIG. 6A shows a spectral distribution for a reflected image reflected on the reference optical film. FIG. 6B is a spectral distribution for a reflected image reflected on the evaluation optical film. FIG. 7 is a diagram illustrating a result of calculating a relative spectral distribution with respect to the spectral distribution illustrated in FIGS. 6A and 6B. FIG. 8 is a graph in which the evaluation data values are plotted against the spatial frequency. FIG. 9 is a drawing showing reflected images of the optical films E1 to E6 used in the experiment. FIG. 10 is a diagram showing evaluation data of the optical films E2 to E6. FIG. 11 is an excerpt of evaluation data of the optical film E4 and the optical film E5. FIG. 12 is a graph showing the result of dividing the evaluation data of the optical film E4 by the evaluation data of the optical film E5. FIG. 13 is a diagram showing reflection characteristics with respect to the optical films E2 to E6. FIG. 14 is a graph showing the antiglare properties for the optical films E2 to E6. FIG. 15 is a diagram showing a region of interest in visual evaluation.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. The same symbols are assigned to the same elements. A duplicate description is omitted. The dimensional ratios in the drawings do not necessarily match those described. In the description, words indicating directions such as “up” and “down” are convenient words based on the state shown in the drawings.

  FIG. 1 is a diagram illustrating a schematic configuration of an evaluation data creation system including an evaluation data creation device according to an embodiment. The evaluation data creation system 1 is a system that creates evaluation data for evaluating an optical film attached to the screen of an image display device.

  The optical film to be evaluated is a surface-treated film that has been subjected to a surface treatment. An example of the surface treatment is a surface treatment that imparts at least one of an antireflection function and an antiglare property. Specifically, the optical film as the surface treatment film may be exemplified by a film in which an antireflection layer is formed on the surface of a transparent film or a film in which fine irregularities are formed on the surface of a transparent film. An example of the substrate of the surface treatment film is a transparent resin such as polyethylene terephthalate.

  Like the surface treatment film described above, the optical film attached to the screen of the image display device also functions as a protective film for the screen. Examples of the image display device are flat panel displays such as a liquid crystal display and a plasma display.

  The evaluation data creation system 1 includes an image acquisition unit 10 that acquires an image for creating evaluation data, and an evaluation data creation device 20 that creates evaluation data of an optical film using spatial frequency analysis.

  The image acquisition unit 10 includes two image display devices 11 and 12 and a camera 13 as an imaging device.

  The two image display devices 11 and 12 are arranged at a certain distance so that their screens 11a and 12a face each other. Examples of the image display devices 11 and 12 used in the image acquisition unit 10 are also the flat panel display described above. On the screen 11a of the image display device 11, an optical film 30 used for creating evaluation data is attached. The image display device 11 functions as a support that supports the optical film 30.

  The image display device 12 displays a predetermined image to be reflected on the optical film 30. In FIG. 1, the light emitted when the predetermined image is displayed on the screen 12a is schematically shown by arrows.

  The camera 13 is disposed between the image display device 11 and the image display device 12. The camera 13 should just be arrange | positioned so that the optical film 30 stuck on the screen 11a may enter in the imaging | photography range of the camera 13. FIG. The camera 13 is usually arranged near the image display device 12 and near the center of the screen 12a. The camera 13 includes an image sensor such as a CMOS image sensor, and can output signal data corresponding to a captured image.

  In one embodiment, the screen 12a may be larger than the screen 11a and the camera 13 in size. Thereby, the predetermined image displayed on the screen 12 a can be reflected on the optical film 30.

  The evaluation data creation device 20 includes a data processing unit 21 that processes signal data input from the camera 13 to the evaluation data creation device 20.

  The data processing unit 21 includes an image data creation unit 21A that creates image data for data processing based on signal data from the camera 13, a Fourier transform unit 21B that obtains a spectral distribution by performing two-dimensional Fourier transform on the image data, Relative spectral distribution creation that creates a relative spectral distribution by calculating a ratio of a spectral distribution (first spectral distribution) with respect to the optical film 30 for evaluation to a predetermined spectral distribution (second spectral distribution) for reference 21C, and an evaluation data creation unit 21D that creates an evaluation data by calculating an average value for the azimuth angles of a plurality of spectra with respect to the same spatial frequency in the relative spectrum distribution.

  The image data creation unit 21A, the Fourier transform unit 21B, the relative spectrum distribution creation unit 21C, and the evaluation data creation unit 21D are main components of the evaluation data creation device 20. In addition to the image data creation unit 21A, the Fourier transform unit 21B, the relative spectrum distribution creation unit 21C, and the evaluation data creation unit 21D, the evaluation data creation device 20 receives input of instructions from the user or signal data from the camera 13. An input unit, a storage unit that stores various data and programs, and an output unit that outputs the created evaluation data to a display device or a printing device may be provided.

  In the evaluation data creation device 20, the image data creation unit 21A, the Fourier transform unit 21B, the relative spectrum distribution creation unit 21C, and the evaluation data creation unit 21D directly or create evaluation data so that they can cooperate with each other according to the data processing flow. The device 20 is indirectly connected through other components (for example, an input unit, a storage unit, and an output unit).

  FIG. 2 is a flowchart of an evaluation data creation method using the data creation apparatus shown in FIG. As shown in FIG. 2, the evaluation data creation method includes an image acquisition step S10, a data reception step S11, and a data processing step S12.

  The data processing step S12 includes an image data creation step S12A, a Fourier transform step S12B, a relative spectrum distribution creation step S12C, and an evaluation data creation step S12D.

  The image data creation unit 21A, the Fourier transform unit 21B, the relative spectrum distribution creation unit 21C, and the evaluation data creation unit 21D included in the evaluation data creation device 20 include an image data creation step S12A, a Fourier transform step S12B, a relative spectrum distribution creation step S12C Each function of the evaluation data creation device 20 for executing the evaluation data creation step S12D is shown. Therefore, specific descriptions of the image data creation unit 21A, the Fourier transform unit 21B, the relative spectrum distribution creation unit 21C, and the evaluation data creation unit 21D will be described together when explaining the respective steps included in the data processing step S12.

  In one embodiment, the evaluation data creation device 20 may be a dedicated device having the functions of the image data creation unit 21A, the Fourier transform unit 21B, the relative spectrum distribution creation unit 21C, and the evaluation data creation unit 21D. In one embodiment, the evaluation data creation device 20 includes the functions of the image data creation unit 21A, the Fourier transform unit 21B, the relative spectrum distribution creation unit 21C, and the evaluation data creation unit 21D included in the data processing unit 21, that is, image data creation. It may be a personal computer (personal computer) incorporating an evaluation data creation program for causing a computer to execute the step S12A, the Fourier transform step S12B, the relative spectrum distribution creation step S12C, and the evaluation data creation step S12D. In the case of a personal computer incorporating the evaluation data creation program, the personal computer functions as the evaluation data creation device 20 by executing the evaluation data creation program.

  Hereinafter, the evaluation data creation method according to an embodiment will be described assuming that the image sensor provided in the camera 13 is a CMOS image sensor.

[Image acquisition step S10]
In the image acquisition step S10, an image to be processed by the evaluation data creation device 20 is taken.

  After the optical film 30 as an evaluation sample is pasted on the screen 11a of the image display device 11, a predetermined image is displayed on the screen 12a of the image display device 12. Thereby, the predetermined image displayed on the screen 12a is reflected on the surface of the optical film 30 (the surface opposite to the screen 11a) as pseudo external light. Next, an image reflected on the optical film 30 (hereinafter referred to as a reflected image) is photographed by the camera 13. At the time of this photographing, the image display device 11 is turned off, that is, nothing is displayed on the screen 11a.

When shooting a reflected image, a plurality of images with different exposure amounts of the camera 13 are shot. The exposure amount can be adjusted, for example, by changing the exposure time while keeping the aperture of the camera 13 constant. This corresponds to the fact that the brightness of the actual image to be photographed is divided into a plurality of brightness ranges as shown in FIG. FIG. 3 schematically shows an example in which the brightness range of an actual image to be photographed is divided into three areas of a first brightness range, a second brightness range, and a third brightness range. ing. When the range when the brightness range of the actual image to be photographed is converted to luminance is 0.55 to 720 cd / m ² , the first to third brightness ranges corresponding to the first to third brightness ranges Examples of luminance ranges are as follows. That is, an example of the first luminance range is 0.55 to 7.4 cd / m ² , an example of the second luminance range is 7.4 to 60 cd / m ² , and an example of the third luminance range. Is 60 to 720 cd / m ² . The number of divisions of the brightness range may be determined according to the brightness of the actual image to be photographed and the dynamic range of the CMOS image sensor, and the number of divisions is not limited to three. The divided brightness range may not have an overlapping range as shown in FIG. 3, but a certain overlapping range may be generated.

  In the image acquisition step S10, instead of the optical film 30 as an evaluation sample, a reference optical film 30 serving as a reference is pasted on the screen 11a, under the same conditions as in the evaluation optical film 30, and for evaluation. In the same manner as in the case of the optical file 30, the method may further include a step of photographing a reflected image reflected on the reference optical film 30. An example of the optical film 30 for reference is an optical film 30 that is not subjected to surface treatment, that is, a so-called glare film. An example of the reference optical film 30 is a film that is made of the same base material as the evaluation optical film 30 and that has not been subjected to the surface treatment applied to the evaluation optical film 30.

  For convenience of explanation, the optical film 30 as an evaluation sample may be referred to as an evaluation optical film 31, and the reference optical film 30 may be referred to as a reference optical film 32.

  FIG. 4A is a diagram illustrating an example of a reflected image reflected on the reference optical film. FIG. 4B is a diagram illustrating an example of a reflected image reflected on the evaluation optical film. 4 (a) and 4 (b) show images taken under the same conditions except for the difference in optical film.

  When an image reflected on the evaluation optical film 31 and the reference optical film 32 is taken by the camera 13 in the image acquisition step S10, light other than light from the predetermined image is applied to the evaluation optical film 31 and the reference optical film 32. For example, the image acquisition unit 10 may be covered with a dark screen or the like so as not to be reflected.

[Data receiving step S11]
The evaluation data creation device 20 receives input of signal data corresponding to an image photographed by the camera 13. This reception of data can be carried out, for example, via an input unit in which the evaluation data creation device 20 receives input of data from the outside. When the camera 13 has signal data for a plurality of captured images shot with different exposure amounts, the input of the plurality of signal data is received in the data receiving step S11. When the camera 13 has the signal data of the reflected image reflected on the reference optical film 32, the signal data is also received in the data receiving step S11. The method for inputting or transferring the signal data to the evaluation data creating apparatus 20 is not particularly limited as long as the signal data can be inputted from the camera 13 to the evaluation data creating apparatus 20. For example, a method of physically connecting the camera 13 and the evaluation data creation device 20 using a wired cable such as a USB cable, a method using wireless communication, or a method using a recording medium such as an SD memory card may be used. But you can.

[Data processing step S12]
Next, the data processing step S12 in which the evaluation data creation device 20 creates evaluation data will be described. As described above, the data processing step S12 includes the image data creation step S12A, the Fourier transform step S12B, the relative spectrum distribution creation step S12C, and the evaluation data creation step S12D.

(Image data creation step S12A)
In the image data creation step S12A, the image data creation unit 21A converts the signal data from the camera 13 into processing image data for data processing in a subsequent step. Specifically, the following step 1 and step 2 are performed as necessary.

  1) Step 1: Signal data from the camera 13 is converted into luminance data.

  FIG. 5 is a diagram for explaining the luminance data conversion. In FIG. 5, the horizontal axis indicates the amount of light, and the vertical axis indicates the output value from the camera 13. When a CMOS image sensor as an image sensor has ideal signal characteristics, that is, functions as a luminance meter, the output value is proportional to the amount of light as shown by the broken line in FIG. Thus, the output value proportional to the amount of light corresponds to the luminance value. However, normally, output characteristics unique to the CMOS image sensor are generated as shown by a solid line in FIG. Therefore, the signal data from the CMOS image sensor may not accurately represent the luminance information of the reflected image.

  In step 1, the output value based on the output characteristics of the CMOS image sensor included in the camera 13 is corrected and converted into a luminance value proportional to the amount of light represented by the broken line. This conversion can be performed, for example, by multiplying a value output from the CMOS image sensor by a predetermined correction coefficient. For example, the correction coefficient may be calculated in advance by comparing the output value of the CMOS image sensor with respect to a predetermined amount of light and the measurement result of the luminance meter with respect to the same amount of light. However, the conversion method is not limited to the above-described method as long as the output value based on the output characteristics of the CMOS image sensor included in the camera 13 can be corrected and converted into a luminance value proportional to the amount of light represented by the broken line. In the present embodiment, luminance data is data composed of luminance values proportional to the amount of light as described above.

  2) Step 2: One processing image data is created by synthesizing luminance data obtained by photographing the same projected image with different exposure amounts.

  As described in the image acquisition step S10, when the brightness of an actual image to be captured is divided by capturing a plurality of images having different exposure amounts, in step 2, each signal data is processed in step 1. The luminance data converted from is combined to form one image data.

  When a CMOS image sensor is used as an image sensor, the dynamic range is limited. Therefore, when the amount of light exceeding the dynamic range of the CMOS image sensor is incident on the camera 13, a so-called whiteout region is generated in the image, and when the amount of light is less than the dynamic range, a so-called blackout region is generated. Therefore, as shown in FIG. 3, the brightness of the actual image is divided into a plurality of images, the images corresponding to each brightness are photographed, and then synthesized in step 2, thereby reducing the brightness of the actual image. Reflected image data can be obtained. (In FIG. 3, the first to third brightness range) more brightness range if overlap in the boundary region of two brightness range adjacent Of occurs, so as to adopt a pre either data Just decide. The first to third brightness ranges are obtained by dividing the brightness range corresponding to the actual image brightness range into the first to third brightness ranges and corresponding to the first to third brightness ranges. Can be set.

  In the image acquisition step S10, when the exposure amount is not changed and the captured image is not photographed, the image data creation unit 21 does not perform step 2. Whether or not to perform step 2 may be determined based on an instruction from the user who can accept the input unit. Alternatively, the data creation unit 21 may include a determination unit, and the determination unit may determine the number of signal data for the same image input and received from the camera 13 to the input unit, and may determine based on the determination.

  The image data creation unit 21A performs the above steps 1 and 2 with respect to the signal data of the reflected image (first reflected image) obtained by photographing the image reflected on the evaluation optical film 31 with the camera 13. And execute. When the image reflected on the reference optical film 32 is captured by the camera 13, the image data creation unit 21 </ b> A displays the reflected image (second image) that appears on the reference optical film 32 captured by the camera 13. The above steps 1 and 2 are also performed on the signal data of the reflected image.

(Fourier transform step S12B)
In the Fourier transform step S12B, the Fourier transform unit 21B performs two-dimensional Fourier transform on the image data corresponding to the projected image, and calculates a spectral distribution in which the Fourier transform value is associated with the spatial frequency.

  Specifically, the luminance value of (x, y) in the image data (first image data) corresponding to the reflected image on the evaluation optical film 31 is represented as fr (x, y), and the reference optical film 32 is used. When the luminance value of (x, y) in the image data (second image data) corresponding to the reflected image is f (x, y), fr (x, y) and f (x, y) respectively Are subjected to two-dimensional Fourier transform to calculate spectra Fr (u, v) and F (u, v).

  The x indicates the position in the x direction in the images shown in FIGS. 4A and 4B, and y indicates the position in the y direction in the images shown in FIGS. 4A and 4B. Show. u is a spatial frequency component in the x direction, and v is a spatial frequency component in the y direction.

  FIG. 6A is a spectral distribution (Fourier image) with respect to an image reflected on the reference optical film, and is a spectral distribution using the reflected image shown in FIG. FIG. 6B is a spectral distribution (Fourier image) for an image reflected on the optical film for evaluation, and is a spectral distribution using the reflected image shown in FIG. 6A and 6B, the absolute values (intensities) of Fr (u, v) and F (u, v) are expressed as bright spots.

  6A and 6B, the horizontal direction is the u axis, that is, the axis indicating the spatial frequency component in the x direction, and the vertical direction orthogonal to the horizontal direction is the v axis, that is, the space in the y direction. It is the spectrum distribution (Fourier image) represented with respect to the coordinate system represented as an axis | shaft which shows a frequency component. The origin O of the coordinate system in FIGS. 6A and 6B indicates that the u component and the y component of the spatial frequency are both 0, that is, a DC component. The spectrum is plotted in FIGS. 6A and 6B so that the closer to the origin O, the lower the frequency component is, and the higher the frequency component is as the distance from the origin O is.

  6 (a) and 6 (b), the position of the bright spot represented by (u, v) with respect to the origin O indicates the direction of the wave, and the distance between the bright spot and the origin O is the magnitude of the spatial frequency. It shows. Furthermore, the magnitude of each spectrum, that is, the magnitude (intensity) of the wave is represented by the brightness of the bright spot. The brightness of the bright spot is expressed in gray scale, and the white is brighter, that is, the intensity is higher.

(Relative spectrum distribution creation step S12C)
In the relative spectral distribution creating step S12C, the relative spectral distribution creating unit 21C has an evaluation spectral distribution corresponding to the evaluation optical film 31 corresponding to the reference spectral distribution (second spectral distribution) corresponding to the reference optical film 32. The ratio of (first spectral distribution) is calculated. The calculation of the ratio of the evaluation spectral distribution to the reference spectral distribution is to calculate the ratio of the spectra at the corresponding positions in the two spectral distributions.

Specifically, the relative spectrum distribution creation unit 21C executes the calculation represented by the formula (1).
Mr (u, v) = Fr (u, v) / F (u, v) (1)
The ratio Mr (u, v) represents a spectrum from which the influence on the spectrum of the image display device 11 as a support on which the evaluation optical film 31 and the reference optical film 32 are attached is removed. In other words, the surface characteristics of the evaluation optical film 31 are extracted from the spectrum represented by Fr (u, v) by calculating Mr (u, v). Further, when an optical film that has not been subjected to surface treatment, that is, a glare film, is used as the reference optical film 32, the ratio Mr (u, v) is specific to the evaluation optical film 31 that has been subjected to surface treatment. The spatial frequency characteristics are shown. Therefore, Mr (u, v) corresponds to the transfer function MTF (Modulation Transfer Function) of the evaluation optical film 31. Mr (u, v) is also the rate of change from the spectrum with respect to the reference optical film 32 from the equation (1).

  FIG. 7 is a diagram showing a result of calculating a relative spectral distribution from the spectral distributions shown in FIGS. 6 (a) and 6 (b). The coordinate system for representing the relative spectral distribution shown in FIG. 7 is the same as that in FIGS. 6 (a) and 6 (b). The brightness of the bright spot in FIG. 7 indicates the magnitude (intensity) of the relative spectrum. The brightness of the bright spot is shown in gray scale as in the case of FIGS. 6 (a) and 6 (b).

(Evaluation data creation step S12D)
In the evaluation data creation step S12D, the evaluation data creation unit 21D averages the relative spectrum distribution created in the relative spectrum distribution creation step S12C so as to eliminate the azimuth dependency on a plurality of relative spectra for the same spatial frequency. Is calculated. The same spatial frequency means that the magnitudes of the spatial frequency vectors represented by (u, v) are the same. In this case, a plurality of relative spectra for the same spatial frequency are a plurality of relative spectra on the same circumference with respect to the origin O.

  The average value may be an average value of all relative spectra on the same circumference with respect to the origin O. However, for example, an average value in an angle of 180 degrees or less from the u axis, that is, in the range of the arrows shown in FIG. This is due to symmetry in the spectral distribution. In FIG. 7, the u axis is used as a reference, but an average value in an angle range of 180 degrees or less from the direction may be calculated with reference to a predetermined direction with respect to the origin O.

  The evaluation data creation unit 21D calculates the average value, whereby an average value is obtained for each spatial frequency from low frequency to high frequency. The average value for each spatial frequency is the evaluation data value.

  FIG. 8 is a graph in which the evaluation data values are plotted against the spatial frequency. FIG. 8 shows the reflection characteristics of the evaluation optical film 31. The horizontal axis indicates the spatial frequency, and the vertical axis indicates the evaluation data value. Both the horizontal axis and the vertical axis are expressed in logarithm. The distribution state of the evaluation data values in FIG. 8 represents the surface treatment characteristics of the optical film 31. The surface treatment characteristics of the optical film 31 can be analyzed using the distribution of evaluation data values shown in FIG.

  In FIG. 8, a solid line R indicates an evaluation data value for the DC component. The DC component is the origin in FIG. 7, that is, Mr (u, v) when u = v = 0. The magnitude of the evaluation data value with respect to the DC component indicates the reflection intensity by the evaluation optical film 31. That is, the evaluation data value for the DC component indicates the reflection characteristic of the evaluation optical film 31.

  The distance D from the evaluation data value for the DC component to the evaluation data value for a certain spatial frequency indicates the degree of blurring, in other words, the antiglare property of the evaluation optical film 31. Therefore, by analyzing FIG. 8, the reflection characteristic and the antiglare property can be quantified. As a result, the evaluation optical film 31 can be quantitatively evaluated using the evaluation data. The distance D is also referred to as an antiglare evaluation value D. In FIG. 8, as the antiglare evaluation value D, an antiglare evaluation value D1 in a low frequency region and an antiglare evaluation value D2 in a high frequency region are schematically shown. The antiglare evaluation value D1 is a difference between an average value of evaluation data values for a spatial frequency in the vicinity of a spatial frequency of 2.5 cycles / deg and an evaluation data value for a DC component. The anti-glare evaluation value D2 is a difference between an average value of evaluation data values for a spatial frequency in the vicinity of a spatial frequency of 9.5 cycle / deg and an evaluation data value of a DC component. The calculation method of the said average value used in order to obtain anti-glare evaluation value D1, D2 is not specifically limited. Examples of the method for calculating the average value of evaluation data values for spatial frequencies in the vicinity of a predetermined spatial frequency include a geometric mean and an arithmetic mean, and preferably a geometric mean.

  In order to obtain evaluation data, the ratio of the evaluation spectral distribution to the reference spectral distribution is calculated. Therefore, the evaluation data created by the evaluation data creation unit 21D is data of the evaluation optical film 31 in which the influence of the image display device 11 as a support is removed from the evaluation spectrum distribution. Therefore, the surface treatment characteristics of the evaluation optical film 31 can be quantitatively evaluated using the evaluation data.

  In particular, when the optical film 32 that has not been subjected to surface treatment is used as the reference spectrum, the evaluation data represents frequency characteristics specific to the surface characteristics of the optical film 31 for evaluation. Therefore, the surface treatment characteristics of the evaluation optical film 31 can be more accurately evaluated using the evaluation data. Furthermore, when the evaluation data represents the frequency characteristic unique to the surface characteristics of the optical film 31 for evaluation, when the image used for the reflection is changed, the reflected image for the other image is reproduced by simulation. Is also possible.

  Further, an average value around an angle with respect to the same spatial frequency in the relative spectral distribution is calculated, and the average value is used as an evaluation data value. By calculating the average value of a plurality of spectra for the same spatial frequency, the azimuth angle dependency in the relative spectral distribution is removed.

  If there is azimuth angle dependency, the evaluation may be different when the predetermined image reflected on the optical film 30 is changed. On the other hand, by removing the azimuth angle dependency as described above, the surface characteristics of the evaluation optical film 31 can be evaluated without depending on a predetermined image reflected on the optical film 30.

  In the embodiment of the evaluation data creation method described with reference to FIG. 2, the case where the optical film 32 not subjected to the surface treatment is used as the reference spectrum has been described as an example. However, for example, when a predetermined spectrum known as a reference spectrum, that is, a reference optical film 32 having a known frequency characteristic is used, for example, the surface treatment characteristics of the evaluation optical film 31 are obtained as evaluation data. be able to.

  The created evaluation data is created based on a two-dimensional image obtained by actually capturing an image reflected on the evaluation optical film 31. Therefore, the evaluation of the evaluation optical film 31 can be quantitatively performed in a state where the evaluation optical film 31 is actually used and in a state closer to the viewpoint from the user. As a result, the obtained evaluation tends to contribute to the production of the optical film 30 having desired surface treatment characteristics. As described above, the evaluation data can be evaluated from the viewpoints of reflection characteristics and antiglare properties. In this respect as well, the evaluation close to the sensory evaluation by the user can be performed quantitatively.

  In the form in which image data is created by converting signal data from the camera 13 into luminance data, evaluation data more reflecting the luminance information of the actual reflected image can be obtained. As a result, the evaluation optical film 31 can be accurately evaluated. In the form of processing a plurality of signal data obtained by the camera 13 photographing the same reflected image with different exposure amounts, evaluation data reflecting the luminance information of the actual reflected image more accurately can be obtained. As a result, the evaluation optical film 31 can be more accurately evaluated.

  In the evaluation data creation system 1 shown in FIG. 1, while the predetermined image displayed on the image display device 12 arranged to face the optical films 31 and 32 is pseudo external light, the predetermined image is the optical films 31 and 32. The camera 13 takes an image reflected on the camera. Therefore, for example, when a plurality of films having different surface treatments are evaluated as the optical film 31 or when a reflected image of the reference optical film 32 is photographed, photographing can be performed under the same conditions. As a result, the influence of the shooting environment (season and shooting time, etc.) can be reduced for the evaluation.

  Hereinafter, it will be further described that the optical film 30 can be evaluated with the evaluation data created by the evaluation data creation device 20 and the evaluation data creation method using the evaluation data creation device 20 shown in FIG. 1 with reference to an experimental example. In the experiment, the following optical films E <b> 1 to E <b> 6 were used as the optical film 30. The optical film E1 is the reference optical film 32. Optical films E <b> 2 to E <b> 6 are evaluation optical films 31.

  A film not subjected to surface treatment was used as the optical film E1. The optical film E1 is a hard coat manufactured by Toppan Printing Co., Ltd.

  A Low-Reflection (LR) film was used as the optical film E2. The optical film E2 is LR manufactured by Toppan Printing Co., Ltd. The reflectance of the optical film E2 is 1 to 2%.

  An anti-glare, low-reflection (AGLR) film was used as the optical film E3. The optical film E3 is HLAG2 manufactured by Dai Nippon Printing Co., Ltd. The reflectance of the optical film E3 is 2.3%, and the haze is 1.8%.

  An Anti-Glare (AG) film was used as the optical film E4. The optical film E4 is VH01 manufactured by Toppan Printing Co., Ltd. The reflectance of the optical film E4 is 4.4%, and the haze is 0.6%.

  An AG film was used as the optical film E5. The optical film E5 is CVLU3 manufactured by Fuji Film Co., Ltd. The reflectance of the optical film E4 is 3.7%, and the haze is 0.5%.

  An AG film was used as the optical film E6. The optical film E6 is DS20S manufactured by Dai Nippon Printing Co., Ltd. The reflectance of the optical film E6 is 4.4%, and the haze is 2.6%.

  Each optical film E1-E6 was affixed on the screen 11a of the image display apparatus 11, and evaluation data were created along the flowchart shown in FIG. The predetermined image displayed on the image display device 12 is the same for each of the optical films E1 to E6. The image sensor of the camera 13 used for photographing was a CMOS image sensor, and the number of pixels was 5616 × 37444.

  In the experiment, for each of the optical films E1 to E6, an image in which a predetermined image was reflected was photographed by changing the exposure amount in four stages. Therefore, in the image data creation step S12A, each of the four signal data of the projected image on each of the optical films E1 to E6 is converted into luminance data, and then the four luminance data are synthesized to create image data for processing. The method of dividing the exposure amount is the same between the optical films E1 to E6.

  FIG. 9 is a drawing showing reflected images of the optical films E1 to E6 photographed in the image photographing process. Specifically, the images in FIG. 9A to FIG. 9E show the reflected images of the optical films E1 to E6 taken with the same exposure amount.

  FIG. 10 is a diagram showing evaluation data of the optical films E2 to E6. As understood from FIG. 10, the change tendency of the evaluation data value with respect to the spatial frequency tends to be different between the optical films E2 to E6 depending on the spatial frequency region. This point will be described with reference to FIGS.

  FIG. 11 is an excerpt of evaluation data of the optical film E4 and the optical film E5. In the optical film E4, the evaluation data value decreases linearly as indicated by the solid line I from the low frequency region to the high frequency region, whereas in the optical film E5, as indicated by the solid line II, the boundary is at a certain spatial frequency region. The decreasing trend is moderate. That is, the properties (particularly anti-glare properties) of the surface treatment characteristics of the optical film E4 and the optical film E5 are different between the low frequency region and the high frequency region.

  FIG. 12 is a graph showing the result of dividing the evaluation data of the optical film E4 by the evaluation data of the optical film E5. Dividing certain evaluation data by other evaluation data means calculating the ratio of the corresponding evaluation data to the same spatial frequency.

  The horizontal axis in FIG. 12 indicates the spatial frequency, and the vertical axis indicates the ratio between the evaluation data of the optical film E4 and the evaluation data of the optical film E5. When the ratio is 1, it means that the evaluation data value of the optical film E4 for a certain spatial frequency is the same as the evaluation data value of the optical film E5. Therefore, the tendency of the surface treatment characteristics of the optical film E4 and the tendency of the surface treatment characteristics of the optical film E5 are reversed at the boundary of about 4.5 cycles / deg which is a spatial frequency at which the ratio is 1. A broken line in FIG. 12 indicates a position where the tendency of the surface treatment characteristics of the optical film E4 and the tendency of the surface treatment characteristics of the optical film E5 are reversed.

  Therefore, in the experiment, the antiglare property of each of the optical films E2 to E5 was evaluated using 4.5 cycle / deg as a boundary. However, since 4.5 cycle / deg as the boundary line is a numerical value for the specific optical film E4, E5, the area around 4.5 cycle / deg and the region of 3 cycle / deg or more and 5 cycle / deg or less are excluded from the evaluation target. did. And the anti-glare property of the spatial frequency region below 3 cycle / deg (anti-glare property of the low frequency region) was expressed using the average value of the evaluation data values for the spatial frequency in the vicinity of the spatial frequency of 2.5 cycle / deg. This corresponds to the evaluation of the antiglare property (antiglare property in the low frequency region) in the spatial frequency region of less than 3 cycles / deg with the antiglare property evaluation value D1 in FIG. The anti-glare property in the spatial frequency region greater than 5 cycles / deg (anti-glare property in the high frequency region) was expressed using the average value of the evaluation data values with respect to the spatial frequency in the vicinity of the spatial frequency of 9.5 cycle / deg. This corresponds to the evaluation of the antiglare property in the spatial frequency region larger than 5 cycles / deg by the antiglare property evaluation value D2 in FIG. The average of the evaluation data values is the same as the evaluation data values of the optical films E2 to E6.

  FIG. 13 is a diagram showing reflection characteristics with respect to the optical films E2 to E6. Specifically, in the optical films E2 to E6, evaluation data values of DC components (spatial frequency is 0) are represented by bar graphs. In FIG. 13, the horizontal axis indicates the optical films E2 to E6, and the left vertical axis in FIG. 13 indicates the evaluation data value of the DC component. The broken line in FIG. 13 has shown the sensory evaluation at the time of visually observing the reflected image of each optical film E2-E6. Specifically, the line graph in FIG. 13 shows the brightness by visual inspection. The brightness indicated by the line graph is bright on the upper side in FIG. 13 as indicated by the vertical axis on the right side of FIG.

  FIG. 14 is a graph showing the antiglare properties for the optical films E2 to E6. In FIG. 14, a white bar graph indicates anti-glare properties in a low frequency region, and a hatched bar graph indicates anti-glare properties in a high frequency region. In FIG. 14, the horizontal axis shows each optical film E2-E6. The vertical axis on the left side of FIG. 14 indicates the antiglare evaluation value.

  The line graph shown with the broken line and the dashed-dotted line of FIG. 14 has shown the sensory evaluation at the time of visually observing the reflected image of each optical film E2-E6. Specifically, the line graph indicated by the broken line and the alternate long and short dash line in FIG. 14 indicates the degree of blur. As shown by the vertical axis on the right side of FIG. 14, the degree of blur indicated by the line graph is large on the upper side and small on the lower side in FIG. 14. The anti-glare property of the low frequency region by visual observation, that is, the anti-glare property of the low frequency region is based on the visual observation of the region A shown in FIG. 15, and is indicated by a broken line in FIG. The anti-glare property of the high-frequency region by visual observation, that is, the anti-glare property of the high-frequency region is based on the visual observation of the region B shown in FIG. 15, and is indicated by a one-dot chain line in FIG.

  As understood from FIGS. 13 and 14, the reflection characteristics obtained from the evaluation data values of the optical films E <b> 2 to E <b> 6 and the numerical values of the anti-glare properties in the low-frequency and high-frequency regions are correlated with the visual results. Therefore, the characteristics of the optical film 31 as the surface treatment film can be quantitatively evaluated by the evaluation data created by the evaluation data creation device 20 shown in FIG. 1 and the evaluation data creation method using the device.

  As mentioned above, although various embodiment of this invention was described, this invention is not limited to the said embodiment and experiment example, A various change is possible in the range which does not deviate from the meaning of invention.

  For example, the evaluation data creation device 20 includes an image data creation unit 21A. However, if the image data created by the image data creating unit 21A is captured in advance with an imaging device capable of capturing the image data, the image data creating unit 21A may not be provided. Specifically, when a captured image is captured by an imaging device in which the signal value is proportional to the amount of light (having the characteristics indicated by the broken line in FIG. 5) and can capture a range of desired brightness at once. May not include the image data creation unit 21A. Alternatively, even when the imaging apparatus side includes processing corresponding to the image data creation unit 21A, the image data creation unit 21A need not be provided.

  Further, as described above, even when the image data creation unit 21A is provided, if the captured image is not photographed a plurality of times while changing the exposure amount, the image data creation unit 21A performs step 2. It is not necessary to carry out. Alternatively, Step 2 may not be performed when a captured image is captured by an imaging apparatus that can capture a desired brightness range at a time.

  In the case where the image data creating unit 21A performs the process 1 and the process 2, the form in which the process 1 and the process 2 are performed has been described. However, after the plurality of signal data are synthesized first, the synthesized data is synthesized. The obtained data may be converted into luminance data.

  An example of the image sensor included in the imaging apparatus is not limited to the CMOS sensor. For example, a CCD may be used as the image sensor, for example.

  Although the image display apparatus 11 was illustrated as a support body, if the optical film 30 can be supported, it will not specifically limit. By using the image display device 11, the optical film 30 can be evaluated in a situation closer to the situation in which the optical film 30 is actually used.

  In the evaluation data creation method shown in FIG. 2, processing image data is created for the image reflected on the reference optical film 32 as well as the processing for the evaluation optical film 31, and two-dimensional Fourier transform is performed. To create a reference spectrum. However, if the reference spectrum is recorded in advance in the storage unit of the evaluation data creation device 20, the image data creation unit 21A and the Fourier transform unit 21B perform processing of data corresponding to the reference optical film 32. It may not be necessary, or it may be performed only once at the first time. The relative spectrum distribution creation unit S21D may read and use the reference spectrum stored in the storage unit.

  The analysis method of the evaluation data based on the experimental results shown in FIGS. 9 to 14 is an example, and the analysis method is not limited to the above method. In particular, a method for identifying a boundary region that divides low-frequency and high-frequency anti-glare properties is not limited.

  DESCRIPTION OF SYMBOLS 1 ... Evaluation data creation system, 11 ... Image display apparatus (support body), 13 ... Camera (imaging device), 20 ... Evaluation data creation apparatus, 21 ... Data reception part, 22 ... Data processing part 21A ... Image data creation part, 22B ... Fourier transform unit, 22C ... Relative spectrum calculation unit, 22D ... Evaluation data creation unit, 30 ... Optical film, 31 ... Optical film for evaluation (first optical film), 32 ... Optical film for reference (second optical film) the film)

Claims (8)

An evaluation data creation device for creating evaluation data for evaluating an optical film attached to a screen of an image display device,
Data for processing signal data obtained by photographing an image of a first reflected image appearing on the surface of the first optical film by reflecting a predetermined image on the first optical film affixed to the support. With a processing unit,
The data processing unit
A Fourier transform unit that calculates a first spectral distribution by performing a two-dimensional Fourier transform on the first image data corresponding to the first reflected image based on the signal data;
A relative spectral distribution creating unit that calculates a relative spectral distribution by calculating a ratio between a second spectral distribution for reference and the first spectral distribution;
The second spectrum corresponds to a second reflected image that appears on the surface of the second optical film when the predetermined image is reflected on the second optical film for reference attached to the support. 2 is a spectral distribution obtained by two-dimensional Fourier transform of image data of 2.
The relative spectral distribution creating unit;
An evaluation data creating unit that creates an evaluation data by calculating an average value of a plurality of spectra for the same spatial frequency in the relative spectral distribution;
Having
Evaluation data creation device. The data processing unit
An image data creation unit that creates the first image data by converting the signal data into luminance data,
In addition,
The Fourier transform unit performs a two-dimensional Fourier transform on the first image data created by the image data creation unit.
The evaluation data creation device according to claim 1. The image data generation unit converts the plurality of signal data into the luminance data, and combines the converted luminance data to generate the first image data,
The plurality of signal data are signal data corresponding to the first captured image having different exposure amounts in the imaging device.
The evaluation data creation device according to claim 2. An evaluation data creation program for creating evaluation data for evaluating an optical film attached to a screen of an image display device,
On the computer,
Data for processing signal data obtained by photographing an image of a first reflected image appearing on the surface of the first optical film by reflecting a predetermined image on the first optical film affixed to the support. Processing process
Let it run,
The data processing step includes
A Fourier transform step of calculating a first spectral distribution by performing a two-dimensional Fourier transform on the first image data corresponding to the first reflected image based on the signal data;
A relative spectral distribution creating step of calculating a relative spectral distribution by calculating a ratio between a second spectral distribution for reference and the first spectral distribution;
The second spectrum corresponds to a second reflected image that appears on the surface of the second optical film when the predetermined image is reflected on the second optical film for reference attached to the support. 2 is a spectral distribution obtained by two-dimensional Fourier transform of image data of 2.
The relative spectral distribution creating step;
An evaluation data creation step of creating an evaluation data by calculating an average value of a plurality of spectra for the same spatial frequency in the relative spectrum distribution;
Having
Evaluation data creation program. The data processing step further includes an image data creation step of creating the first image data by converting the signal data into luminance data,
The Fourier transform step performs a two-dimensional Fourier transform on the first image data created in the image data creation step.
The evaluation data creation program according to claim 4. The image data creating step converts the plurality of signal data into brightness data, and creates the first image data by combining the converted brightness data,
The plurality of signal data are signal data corresponding to the first captured image having different exposure amounts in the imaging device.
The evaluation data creation program according to claim 5. An image acquisition unit;
The evaluation data creation device according to any one of claims 1 to 3,
With
The image acquisition unit
A support to which the first optical film is attached;
An image display device arranged to face the support and displaying the predetermined image reflected on the first optical film; and
Taking a first reflected image that is arranged between the support and the image display device and appears on the surface of the first optical film by reflecting the predetermined image on the first optical film. An imaging device for obtaining signal data corresponding to the first reflected image;
Have
The data processing unit of the evaluation data creation device processes signal data from the imaging device included in the image acquisition unit,
Evaluation data creation system. An evaluation data creation method for creating evaluation data for evaluating an optical film attached to a screen of an image display device,
A first projected image that appears on the surface of the first optical film by reflecting a predetermined image on the first optical film affixed to the support is disposed opposite to the first optical film. A shooting process for shooting with an imaging device;
A data receiving step for receiving an input of signal data for the first reflected image from the imaging device;
A data processing step in which the data creation device processes the signal data input to the data creation device;
With
The data processing step includes
A Fourier transform step in which the data creation device calculates a first spectral distribution by two-dimensional Fourier transform of image data corresponding to the first reflected image based on the signal data;
A relative spectral distribution creating step of creating a relative spectral distribution by calculating a ratio between a second spectral distribution for reference and the first spectral distribution,
The second spectral distribution corresponds to a second reflected image that appears on the surface of the second optical film when the predetermined image is reflected on the second optical film for reference attached to the support. A spectral distribution obtained by two-dimensional Fourier transform of the second image data;
The relative spectral distribution creating step;
An evaluation data creation step of creating an evaluation data by calculating an average value of a plurality of spectra for the same spatial frequency included in the relative spectrum;
Having
Evaluation data creation method.