Abstract: An estimation system includes: an acquisition processor that acquires a captured image of an object to be estimated; and an estimation processor that uses a single learned model generated on the basis of learning data, in which an image of the object to be estimated is associated with each of a plurality of attributes of the object to be estimated, to estimate a first attribute included in the plurality of attributes, from a first output value of a first output layer corresponding to the first attribute and to estimate a second attribute included in the plurality of attributes, from a second output value of a second output layer corresponding to the second attribute, with the captured image acquired by the acquisition processor as an input image.

Abstract: A display device (10) includes: an integrated control unit (31) that allows selection from among at least a high-luminance mode and a luminance-unevenness-suppression-preferred mode in accordance with an input instruction; and an unevenness correction unit (36) that performs color unevenness correction for each pixel in both the high-luminance mode and the luminance-unevenness-suppression-preferred mode. In the luminance-unevenness-suppression-preferred mode, the unevenness correction unit (36) performs a pixel value limitation process for uniformly shifting, for each pixel, a pixel value in image data to a lower pixel value to thereby decrease the pixel value to a pixel value lower than that in the high-luminance mode, and thereafter, performs the color unevenness correction. Accordingly, even if the use of the display device varies, image processing that is appropriate for various uses is implemented.

Abstract: A display device (10) includes: an integrated control unit (31) that allows selection from among at least a high-luminance mode and a luminance-unevenness-suppression-preferred mode in accordance with an input instruction; and an unevenness correction unit (36) that performs color unevenness correction for each pixel in both the high-luminance mode and the luminance-unevenness-suppression-preferred mode. In the luminance-unevenness-suppression-preferred mode, the unevenness correction unit (36) performs a pixel value limitation process for uniformly shifting, for each pixel, a pixel value in image data to a lower pixel value to thereby decrease the pixel value to a pixel value lower than that in the high-luminance mode, and thereafter, performs the color unevenness correction. Accordingly, even if the use of the display device varies, image processing that is appropriate for various uses is implemented.

Abstract: A display calibration system includes: a display section subject to calibration; a correction data outputting section configured to perform a calibration process to determine, for each of the pixels of the display section, correction data for non-uniformity correction; and a first storage section configured to store reference data to be used in the calibration process. The reference data represents, for individual color patches of a first predetermined number, correspondences between RGB values and reference values. The correction data outputting section obtains, on a basis of the reference data and the measurement values of the color patches of a second predetermined number that is less than the first predetermined number, the pieces of correction data with respect to RGB values of the individual color patches of the predetermined second number. With this arrangement, it is possible to shorten a processing time of the calibration process.

Abstract: A display calibration system includes: a display section subject to calibration; a correction data outputting section configured to perform a calibration process to determine, for each of the pixels of the display section, correction data for non-uniformity correction; and a first storage section configured to store reference data to be used in the calibration process. The reference data represents, for individual color patches of a first predetermined number, correspondences between RGB values and reference values. The correction data outputting section obtains, on a basis of the reference data and the measurement values of the color patches of a second predetermined number that is less than the first predetermined number, the pieces of correction data with respect to RGB values of the individual color patches of the predetermined second number. With this arrangement, it is possible to shorten a processing time of the calibration process.

Abstract: In a color converting device for converting input image data based on a plurality of first color components (the number of bits of each color component is k) into output image data based on plural of second color components by interpolation processing using a 3DLUT storing color correction values at grid points obtained by dividing a color space composed of the plurality of first color components, the distance of the grid points is 2n (where n is an integer smaller than k), the number Dn of grid points of the plurality of first color components is an integer satisfying 2m?1+1<Dn<2m+1+1 (where Dn?2m+1, and m=k?n), and input image data is converted into output image data by converting each color component data of the input image data according to the number of grid points, and performing interpolation processing by reading color correction values corresponding to the converted color components from the 3DLUT.

Abstract: In a color converting device for converting input image data based on a plurality of first color components (the number of bits of each color component is k) into output image data based on plural of second color components by interpolation processing using a 3DLUT storing color correction values at grid points obtained by dividing a color space composed of the plurality of first color components, the distance of the grid points is 2n (where n is an integer smaller than k), the number Dn of grid points of the plurality of first color components is an integer satisfying 2m?1+1<Dn<2m+1+1 (where Dn?2m+1, and m=k?n), and input image data is converted into output image data by converting each color component data of the input image data according to the number of grid points, and performing interpolation processing by reading color correction values corresponding to the converted color components from the 3DLUT.