JP2015035650A - Image processing device, image processing method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To perform accurate calibration.SOLUTION: A photographic image data acquisition unit 1011 and a source signal acquisition unit 1016 acquire image data generated by photographing an image projected on a screen by photographic means and acquire a source signal of a projection signal corresponding to the image. A correspondence generation unit 1012 generates correspondence information showing correspondence between a color value of the image data and a color value of the source signal on the basis of the acquired image data and source signal. A color profile update unit 1017 updates a color profile for converting a source signal into a projection signal on the basis of the correspondence information. An output unit 1015 converts a source signal into a projection signal on the basis of the updated color profile.

Description

  The present invention relates to a technique for correcting the color of an image projected on a screen.

  As a method of calibrating a display device such as a display or a projector, a color chart is displayed on the display device, the color chart is measured by a colorimetric device, and a color profile for correcting the color is set to a colorimetric value and A method of generating based on a target value is known.

  However, the color measuring device is generally expensive, and has specialized knowledge to generate a color profile. Therefore, it is very difficult for a general user to purchase and calibrate the color measuring device. Patent Document 1 discloses a method for calibrating a display from captured image data without using a colorimetric device. Patent Document 2 discloses a method in which an optical sensor is provided in a display and the luminance of a display signal is corrected based on a detection value of the optical sensor.

JP 2007-208629 A JP 2008-181044 A

  However, in the technique disclosed in Patent Document 1, since it is necessary to display a color chart for acquiring color characteristics when performing calibration, it is necessary to switch the projection signal being viewed, and the user This hinders viewing. If calibration is performed before viewing with the technique disclosed in Patent Document 1, color correction at that time can be performed, but fluctuations in projected color that change while viewing are observed. It cannot be corrected. The technique disclosed in Patent Document 2 corrects a projection color based on a detection value at a fixed location where a sensor is installed. That is, the technique disclosed in Patent Document 2 does not correct the variation of the entire color used in the projected image, but performs accurate calibration according to the color used in the projected image. I can't.

  Therefore, an object of the present invention is to enable accurate calibration.

  The image processing apparatus of the present invention obtains image data generated by photographing an image projected on the screen by the photographing unit, and obtains a source signal of a projection signal corresponding to the image; Based on the image data and the source signal acquired by the acquisition unit, a generation unit that generates correspondence information indicating a correspondence relationship between the color value of the image data and the color value of the source signal, and the generation unit An update unit that updates a color profile for converting a source signal into a projection signal based on the correspondence information, and a conversion that converts the source signal into a projection signal based on the color profile updated by the update unit. Means.

  According to the present invention, accurate calibration can be performed.

1 is a diagram illustrating a configuration of an image processing system according to an embodiment of the present invention. It is a figure which shows the functional structure of information processing apparatus. It is a flowchart which shows the process of the information processing apparatus which concerns on embodiment of this invention. It is a figure which shows the example of correspondence information. It is a flowchart which shows the process of the corresponding | compatible relationship production | generation part in 1st Embodiment. It is a flowchart which shows the detail of the color value extraction process in step S34 of FIG. It is a flowchart which shows the detail of a process of the color profile update part 1017 in step S6 of FIG. It is a figure for demonstrating target color reproduction data. It is a flowchart which shows the process of the corresponding | compatible relationship production | generation part in 2nd Embodiment. 10 is a flowchart showing details of color extraction processing in step S86 of FIG.

  DESCRIPTION OF EXEMPLARY EMBODIMENTS Hereinafter, preferred embodiments to which the invention is applied will be described in detail with reference to the accompanying drawings.

  FIG. 1 is a diagram showing a configuration of an image processing system according to an embodiment of the present invention. In FIG. 1, reference numeral 101 denotes an information processing apparatus. Reference numeral 102 denotes a photographing apparatus. Reference numeral 111 denotes a projector. The information processing apparatus 101 outputs a projection signal to the projector 111, and the projector 111 projects an image on the screen based on the projection signal input from the information processing apparatus 101. The image capturing apparatus 102 captures an image projected by the projector 111 and outputs image data obtained by the image capturing process to the information processing apparatus 101. The information processing apparatus 101 acquires image data obtained by shooting processing by the shooting apparatus 102 and a source signal that is a source of a projection signal, and generates a color profile for converting the source signal into a projection signal. Next, the information processing apparatus 101 outputs a projection signal converted based on the generated color profile to the projector 111. In the present embodiment, the image capturing apparatus 102 always captures an image projected by the projector 111. Then, the color profile is updated as needed based on the image data obtained by the photographing process of the photographing apparatus 102.

  FIG. 2 is a diagram illustrating a functional configuration of the information processing apparatus 101. As illustrated in FIG. 2, the information processing apparatus 101 includes a captured image data acquisition unit 1011, a correspondence generation unit 1012, a correction parameter generation unit 1013, a color profile holding unit 1014, an output unit 1015, a source signal acquisition unit 1016, and a color profile. An update unit 1017 is provided. 2, 1011 to 1013 and 1015 to 1017 in FIG. 2 are functional configurations realized by the CPU reading and executing necessary programs and data from a ROM, a hard disk, or the like in the information processing apparatus 101. The color profile holding unit 1014 has a configuration corresponding to a partial storage area of a RAM, for example. Furthermore, the information processing apparatus 101 includes a buffer memory. The buffer memory functions as a read-only storage device (ROM) that stores various data used in image processing, and also functions as a storage device (RAM) in which the CPU temporarily reads and writes during calculation processing. Note that the hardware configuration of the information processing apparatus 101 in the present embodiment can be configured by a known technique such as a computer, and thus detailed description of the hardware is omitted.

  The imaging device 102 captures an image projected by the projector 111. The captured image data acquisition unit 1011 acquires image data (hereinafter referred to as “captured image data”) obtained by the imaging process of the imaging apparatus 102. The source signal acquisition unit 1016 acquires a source signal that is a source of an image projected by the projector 111. The correspondence generation unit 1012 generates correspondence information indicating the correspondence between the captured image data acquired by the captured image data acquisition unit 1011 and the source signal acquired by the source signal acquisition unit 1016.

  The correction parameter generation unit 1013 generates a correction parameter for updating the color profile. The color profile holding unit 1014 holds a color profile. The output unit 1015 outputs a projection signal corresponding to the image projected by the projector 111. The source signal acquisition unit 1016 acquires the source signal of the projection signal output to the projector 111. The color profile update unit 1017 updates the color profile held in the color profile holding unit 1014. The output unit 1015 converts the source signal into a projection signal using the updated color profile, and outputs the projection signal to the projector 111. The information processing apparatus 101 repeats the above-described series of processes, thereby correcting the variation in the image projected by the projector 111 as needed.

  Next, processing of the information processing apparatus 101 will be described with reference to FIG. Note that the processing illustrated in FIG. 3 is realized by the CPU reading and executing necessary data and programs from the ROM, the hard disk, and the like in the information processing apparatus 101.

  In step S1, the captured image data acquisition unit 1011 acquires captured image data from the imaging device 102 via a communication line. The photographed image data is image data generated by photographing the image projected by the projector 111 by the photographing apparatus 102. The communication line may be a wired communication line or a wireless communication line.

  In step S <b> 2, the source signal acquisition unit 1016 acquires one frame of the source signal of the projection signal corresponding to the image projected on the projector 111. In the present embodiment, 8-bit signal values of R (red), G (green), and B (blue) are used as source signals, but signal values of other numbers of bits may be used.

  In step S3, the correspondence generation unit 1012 obtains correspondence information indicating the correspondence between the pixel value RiGiBi value of the captured image data acquired in step S1 and the pixel value RsGsBs value of the source signal acquired in step S2. Generate. When generating the correspondence relationship, particularly in the high frequency region due to the difference in resolution and positional deviation between the pixel value RiGiBi value of the captured image data and the pixel value RsGsBs value of the source signal, and the noise of the captured image data. It is difficult to accurately associate pixel values that are positioned. For this reason, the correspondence generation unit 1012 performs a process of extracting representative color values in the partial regions of the source signal and the captured image data after performing preprocessing such as predetermined filter processing and region division processing. As a result, the correspondence generation unit 1012 is representative for each of the partial regions (No. 1, No. 2, No 3... No. 901, No 902) of the source signal and the captured image data as shown in FIG. Correspondence information in which color values are stored in a table format is generated. Details of the processing in the correspondence generation unit 1012 will be described later.

  In step S4, the correction parameter generation unit 1013 generates a correction parameter for updating the color profile, based on the correspondence relationship information generated by the correspondence relationship generation unit 1012. In the present embodiment, as a correction parameter, a 3 × 4 matrix coefficient as shown in the following equation (1) is calculated from the correspondence information by the least square method, but another coefficient may be used as the correction parameter.

  In step S5, the color profile update unit 1017 determines whether or not to update the color profile. In this embodiment, it is determined whether or not the time counted by the timer built in the information processing apparatus 101 has passed 5 minutes. When 5 minutes have elapsed, the color profile update unit 1017 acquires captured image data from the imaging apparatus 102 and performs a color profile update process. In addition, the time to time is not limited to 5 minutes and may be any time. Further, the color profile may be updated for each frame of the photographed image data by continuously photographing with the photographing apparatus 102, or the photographed image data between the frames is analyzed, and the color is determined based on the change of the photographed image data between the frames. The profile may be updated.

  In step S6, the color profile update unit 1017 updates the color profile using the correction parameter generated in step S4. The color profile holding unit 1014 holds the color profile updated by the color profile update unit 1017. Details of processing in the color profile update unit 1017 will be described later.

  In step S <b> 7, the output unit 1015 converts the source signal into a projection signal using the updated color profile, and outputs the converted projection signal to the projector 111. The projector 111 performs projection based on the projection signal input from the output unit 1015.

  Next, the processing in step S3 by the correspondence generation unit 1012 will be described in detail with reference to FIG. The captured image data includes colors other than the image projected by the projector 111. Accordingly, in step S31, the correspondence generation unit 1012 extracts image data of an area corresponding to an image projected by the projector 111 (hereinafter referred to as a projection area) from the captured image data. In the present embodiment, the projection area extraction process is performed as follows. That is, the photographing apparatus 102 and the projector 111 are installed at a predetermined position or a position determined based on the setting, and image data is extracted from predetermined coordinates on the captured image data. For example, the upper left coordinates (500, 300), the lower left coordinates (500, 3540), the upper right coordinates (5260, 300), and the lower right coordinates (5260, 3540) are surrounded by the captured image data recorded with the number of pixels of 5760 × 3840. Image data corresponding to the area to be extracted is extracted. In addition, without positioning the imaging device 102 and the projector 111, a projection area may be detected from the captured image data using an image recognition technique, and image data corresponding to the projection area may be extracted. In the present invention, any method may be used as long as image data corresponding to the projection area of the projector 111 can be accurately extracted from the captured image data.

  In step S32, the correspondence generation unit 1012 affine-transforms the captured image data of the projection area extracted in step S31 in accordance with the resolution of the source signal. In the present embodiment, image data having 4096 × 2160 pixels is used as a source signal, and the captured image data of the projection area is affine transformed so as to match this resolution. If a pixel gap occurs in the corrected coordinates, the pixel value may be determined by bilinear interpolation using four neighboring pixels, or interpolation processing such as bicubic interpolation may be performed with more reference pixels. Needless to say, it is good. Further, as a pre-process for affine transformation, a parse correction for correcting distortion of captured image data may be performed.

  In step S33, the correspondence generation unit 1012 performs a low-pass filter process on the source signal and the captured image data affine transformed in step S32. Thereby, it is possible to suppress a positional deviation between the source signal and the captured image data and a decrease in the accuracy of the association due to noise in the captured image data.

  In step S34, the correspondence generation unit 1012 extracts a color value necessary for generating a correction parameter from the source signal and captured image data subjected to the low-pass filter process in step S33. Details of the color value extraction process will be described later.

  In step S35, the correspondence generation unit 1012 generates correspondence information based on the color value extracted in step S34. The generated correspondence information is stored in a buffer memory in the information processing apparatus 101.

  Next, the color value extraction process in step S34 in FIG. 5 will be described in detail with reference to FIG. In step S340, the correspondence generation unit 1012 divides the captured image data of the projection area that has been subjected to the low-pass filter process in step S33 into a plurality of areas. In the present embodiment, the division unit is 100 pixels vertically and 100 pixels horizontally, and 4096 × 2160 image data is divided into 41 × 22 regions. In addition, when not satisfying vertical 100 pixels or horizontal 100 pixels, it is divided | segmented in the area | region where vertical or horizontal is less than 100 pixels. In this embodiment, the division unit is 100 pixels, but the number of other pixels may be the division unit. Hereinafter, the area generated by the division process in step S340 is referred to as a divided area.

  In step S341, the correspondence generation unit 1012 selects any one of the divided areas generated by the division process in step S340. In step S342, the correspondence generation unit 1012 sets an initial value of the pixel value extraction range. In the present embodiment, the initial value of the pixel value extraction range is set to 100 pixels in the vertical direction and 100 pixels in the horizontal direction as the divided areas, but other pixel numbers may be set as the initial values.

  In step S343, the correspondence generation unit 1012 extracts all pixel values from the pixel value extraction range of the divided region, and calculates a standard deviation of the extracted pixel values. In the present embodiment, the standard deviation is used as the color variation in the divided areas, but other statistics such as variance may be used.

  In step S344, the correspondence generation unit 1012 determines whether the standard deviation calculated in step S343 is less than a threshold value. If the standard deviation is less than the threshold, the process proceeds to step S346. If the standard deviation is greater than or equal to the threshold, the process proceeds to step S345.

  In step S345, the correspondence generation unit 1012 narrows the pixel value extraction range by one pixel based on the center of the divided region. Then, the process returns to step S343. In the present embodiment, the pixel value extraction range is adjusted based on the center of the divided region, but the pixel value extraction range may be adjusted based on the upper left corner and the lower right corner of the divided region. In the present embodiment, the pixel value extraction range is adjusted for each pixel, but the pixel value extraction range may be adjusted for any pixel.

  In step S346, the correspondence generation unit 1012 calculates the average value of the pixel values within the pixel value extraction range. In step S347, the correspondence generation unit 1012 calculates the average value of the pixel values in the source signal region corresponding to the pixel value extraction range.

  In step S348, the correspondence generation unit 1012 stores the average value calculated in steps S346 and S347 as a color value in the buffer memory in the information processing apparatus 101. In step S349, the correspondence generation unit 1012 determines whether color values have been calculated for all the divided regions. When color values are calculated for all the divided areas, the process ends. On the other hand, if there is a divided area for which a color value has not yet been calculated, the process returns to step S342.

  Next, the processing of the color profile update unit 1017 in step S6 of FIG. 3 will be described in detail with reference to FIG.

  In step S <b> 61, the color profile update unit 1017 acquires target color reproduction data from the buffer memory in the information processing apparatus 101. The target color reproduction data here is data in which a target color to be projected on the projector 111 is described. More specifically, as shown in FIG. 8A, the target color reproduction data is obtained when an image corresponding to a predetermined source signal (No1, No2, No3... No.728, No729) is projected. This is a file in which signal values RtGtBt of photographed image data are described.

  In the present embodiment, signal values of 729 colors arranged at equal grid points of 9 grids of RGB are used as the predetermined source signal. In the present embodiment, as shown in FIG. 8B, an image chart 801 representing this signal value is projected by the projector 111, and the image chart 801 is photographed by the photographing apparatus 102 in advance. The signal value RtGtBt indicated by the captured image data is stored in advance in the buffer memory as target color reproduction data.

  In step S62, the color profile update unit 1017 calculates target color reproduction data using the matrix coefficient that is the correction parameter generated in step S4. The target color reproduction data is calculated by converting the signal values arranged at the uniform grid points of 9 grids of RGB by matrix coefficients, and is stored in the buffer memory as the target color signal value RdGdBd indicating the current reproduction color.

In step S63, the color profile update unit 1017 generates a color profile using the target color reproduction data acquired in step S61 and the target color reproduction data calculated in step S62. Here, the RGB value of the source signal and the corresponding output RGB value are described in the color profile in the form of a lookup table (LUT). By using this LUT, the source signal is converted into a desired output value by the following equation (2). In the following formula, * represents color conversion by LUT.
C_out_tgt = LUT_org * C_s (2)
C_s: Source signal
LUT_org: Initial color profile
C_out_tgt: Output value after color profile conversion that reproduces the target color

Here, the input / output relationship of the signal when the color is shifted due to a change with time or the like is expressed as in Expression (3).
C_out_dst = G * LUT_org * C_s (3)
G: Color variation
C_out_dst: Output value when the source signal is input

  In this embodiment, calibration is performed by newly generating and updating a color profile LUT_dst (G! * LUT_org) for outputting C_out_tgt that reproduces a target color when a color change occurs. In step S63, the color profile update unit 1017 uses the correspondence between the source signal and the target color signal value in S61 and the correspondence between the source signal calculated in S62 and the target color signal value indicating the current reproduction color. The LUT_dst is generated by searching the target color signal value for the RGB value for reproducing the target color signal value.

  In this embodiment, an RGB color space is used as the search space. However, the RGB color space is converted into a visual uniform color space such as a Lab color space that matches human vision, and the color space is converted into the color space. You may search. By using the Lab color space, for example, when the color distributed at the color gamut boundary fluctuates and the target color cannot be reproduced in the projection color gamut of the current projector, the target color is reproduced with the closest color to the human appearance. can do. Note that the conversion from the RGB color space to the Lab color space can be performed by performing conversion to XYZ values using conversion formulas such as sRGB and AdobeRGB, and further using the CIE1976 conversion formula. In this embodiment, the CIE 1976 conversion formula is used, but other conversion formulas such as CIECAM02 may be used. Furthermore, in this embodiment, conversion using an LUT is performed as a color profile, but it goes without saying that conversion characteristics may be expressed by a function and the function described in the color profile for conversion.

  In step S64, the color profile update unit 1017 updates the color profile by overwriting the color profile stored in the color profile holding unit 1014 with the color profile generated in step S63.

  As described above, according to the present embodiment, accurate calibration can be performed without burdening the user by performing calibration by always sensing the projection signal of the image actually viewed without using a color chart. It can be performed.

  Next, a second embodiment of the present invention will be described. In the first embodiment, correspondence information for generating a correction parameter is generated from a source signal for one frame and captured image data. On the other hand, in the second embodiment, a method for generating correspondence information from source signals and captured image data for a plurality of frames will be described. Note that the configuration of the image processing system according to the second embodiment is the same as the configuration of the image processing system according to the first embodiment shown in FIGS. 1 and 2. The reference numerals shown in FIG. 2 are used. In the second embodiment, the processing of the correspondence generation unit 1012 in step S3 in FIG. 3 is different from that in the first embodiment, and the other processes are the same as those in the first embodiment. Only the process in step S3 of FIG. 3 in the second embodiment will be described.

  Hereinafter, the processing of the correspondence generation unit 1012 in the second embodiment will be described with reference to FIG. In step S <b> 81, the correspondence generation unit 1012 acquires captured image data for one frame from the captured image data acquisition unit 1011 and acquires a source signal for one frame from the source signal acquisition unit 1016. In step S82, the correspondence generation unit 1012 determines whether captured image data and source signals for 30 frames have been acquired. When the captured image data and the source signal for 30 frames are acquired, the process proceeds to step S83. On the other hand, if the captured image data and the source signal for 30 frames have not been acquired, the process returns to step S81. As described above, in this embodiment, captured image data and source signals for 30 frames are acquired, but the number of frames is not limited to this.

  In step S83, the correspondence generation unit 1012 extracts image data of the projection area by the projector 111 from each of the 30 frames of captured image data. In step S84, the correspondence generation unit 1012 affine-transforms the captured image data of each projection area extracted in step S83 in accordance with the resolution of the source signal corresponding to the captured image data.

  In step S85, the correspondence generation unit 1012 performs low-pass filter processing on the source signal and the affine-transformed captured image data converted in step S84. Thereby, it is possible to suppress a positional deviation between the source signal and the captured image data and a decrease in the accuracy of the association due to noise in the captured image data.

  In step S86, the correspondence generation unit 1012 extracts a color value necessary for creating a correction parameter from both image data subjected to the low-pass filter process in step S85. Details of the color value extraction process will be described later. In step S87, the correspondence generation unit 1012 generates correspondence information based on the color values extracted in S86. The generated correspondence information is stored in a buffer memory in the information processing apparatus 101.

  Next, the color value extraction process in step S86 of FIG. 9 will be described in detail with reference to FIG. In step S860, the correspondence generation unit 1012 divides the photographed image data of the projection area, which has been subjected to the low-pass filter process in step S85, into a plurality of areas for each of the 30 frames of photographed image data. In the present embodiment, the division unit is 100 pixels vertically and 100 pixels horizontally, and 4096 × 2160 image data is divided into 41 × 22 regions. When the vertical 100 pixels or the horizontal 100 pixels are not satisfied, the vertical or horizontal area is divided by an area of less than 100 pixels. In this embodiment, the division unit is 100 pixels, but the number of other pixels may be the division unit. Note that the region dividing method between the 30 frames of the captured image data is the same.

  In step S861, the correspondence generation unit 1012 selects one of the areas divided in step S960 (hereinafter referred to as a divided area). Note that the divided area selected here is an area at a corresponding position between the captured image data of 30 frames.

  In step S862, the correspondence generation unit 1012 calculates the average value of the pixel values of the divided area selected in step S861 for each frame. In step S863, the correspondence generation unit 1012 calculates the standard deviation of the pixel values of the divided regions between frames using the average value of the pixel values of the divided regions between frames. In the present embodiment, the standard deviation is used as an index of color variation between frames, but other statistics such as variance may be used.

  In step S864, the correspondence generation unit 1012 determines whether the standard deviation calculated in step S863 is less than a threshold value. If the standard deviation is less than the threshold, the process proceeds to step S865. On the other hand, when the standard deviation is greater than or equal to the threshold, the process proceeds to step S867.

  In step S865, the correspondence generation unit 1012 calculates an average value of the pixel values of the divided area between frames, and stores the calculated average value as a color value in the buffer memory. In step S866, the correspondence generation unit 1012 calculates an average value of pixel values of the source signal between frames using the source signal of the region corresponding to the divided region, and uses the calculated average value as a color value in the buffer memory. Save to.

  In step S867, the correspondence generation unit 1012 determines whether color values have been calculated for all the divided regions. When color values are calculated for all the divided areas, the process ends. On the other hand, if there is a divided area for which a color value has not yet been calculated, the process returns to step S862.

  As described above, in the second embodiment, correspondence information is generated from a plurality of frames of source signals and captured image data. As a result, calibration can be performed with high accuracy even when synchronization cannot be obtained when acquiring the source signal and the captured image data, or when noise is included in the captured image data.

  In the processing in the correspondence generation unit, in the first and second embodiments, when the color value is extracted by performing region division, the coordinates to be referred to based on the captured image data are first determined. You may determine the coordinate to refer. In the first embodiment, the correspondence is generated from the color information in the frame image data, and in the second embodiment, the correspondence is generated from the color information between the frame image data. A correspondence relationship may be generated by combining information between image data.

  In the above-described embodiment, when the color value is calculated, the color value is calculated based on the coordinates on the captured image data. However, the color value is calculated based on the coordinates on the source signal. Also good. In the first embodiment, correspondence information is generated from the source signal for one frame and the captured image data. In the second embodiment, the correspondence is generated from the source signal for multiple frames and the captured image data. Although the information is generated, the present invention is not limited to this. In other words, the correspondence information generation method of the first embodiment may be combined with the correspondence information generation method of the second embodiment.

  The present invention is not limited to the configuration described in the above-described embodiment, and various modifications can be made without departing from the spirit of the present invention. For example, the projector apparatus 111 may include a configuration corresponding to at least one of the information processing apparatus 101 and the imaging apparatus 102 described in the first embodiment.

  The present invention can also be realized by executing the following processing. That is, software (program) that realizes the functions of the above-described embodiments is supplied to a system or apparatus via a network or various storage media, and a computer (or CPU, MPU, or the like) of the system or apparatus reads the program. It is a process to be executed.

  101: Information processing apparatus, 102: Imaging apparatus, 111: Projector, 1011: Captured image data acquisition unit, 1012: Correspondence relation generation unit, 1013: Correction parameter generation unit, 1014: Color profile holding unit, 1015: Output unit, 1016 : Source signal acquisition unit, 1017: Color profile update unit

Claims (5)

An acquisition unit that acquires image data generated by the imaging unit capturing an image projected on the screen, and that acquires a source signal of a projection signal corresponding to the image;
Generating means for generating correspondence information indicating a correspondence relation between the color value of the image data and the color value of the source signal based on the image data and the source signal acquired by the acquisition means;
Updating means for updating a color profile for converting a source signal into a projection signal based on the correspondence information generated by the generating means;
An image processing apparatus comprising: conversion means for converting a source signal into a projection signal based on the color profile updated by the update means.   The generation means includes a pixel value in each partial area in the image data for one frame acquired by the acquisition means, and a pixel value in each partial area in the source signal for one frame acquired by the acquisition means. The color value of the image data and the color value of the source signal are calculated based on the image data, and the correspondence information is generated based on the calculated color value of the image data and the color value of the source signal. Item 8. The image processing apparatus according to Item 1.   The generation unit includes a pixel value in each partial region in the image data for a plurality of frames acquired by the acquisition unit, and a value in each partial region in the image data for the plurality of frames acquired by the acquisition unit. A color value of the image data and a color value of the source signal are calculated based on the pixel value, and the correspondence information is generated based on the calculated color value of the image data and the color value of the source signal. The image processing apparatus according to claim 1. An image processing method executed by an image processing apparatus,
An acquisition step of acquiring image data generated by shooting an image projected on the screen by the shooting unit and acquiring a source signal of a projection signal corresponding to the image;
A generating step for generating correspondence information indicating a correspondence relationship between the color value of the image data and the color value of the source signal based on the image data and the source signal acquired in the acquisition step;
An update step of updating a color profile for converting a source signal into a projection signal based on the correspondence information generated by the generation step;
An image processing method comprising: a conversion step of converting a source signal into a projection signal based on the color profile updated in the updating step. An acquisition step of acquiring image data generated by shooting an image projected on the screen by the shooting unit and acquiring a source signal of a projection signal corresponding to the image;
A generating step for generating correspondence information indicating a correspondence relationship between the color value of the image data and the color value of the source signal based on the image data and the source signal acquired in the acquisition step;
An update step of updating a color profile for converting a source signal into a projection signal based on the correspondence information generated by the generation step;
A program for causing a computer to execute a conversion step of converting a source signal into a projection signal based on the color profile updated in the updating step.

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