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: An object extraction section of an image output apparatus determines as an extraction region either (a) a quadrangular region enclosed by a quadrangle in which all internal angles are less than 180° and sides are constituted by 4 edge pixel groups each in the form of a line segment, the 4 edge pixel groups being indicated by edge information, or (b) a polygonal region enclosed by a polygon in which all internal angles are less than 180° and sides are constituted by at least one edge pixel group in the form of a line segment, which edge pixel group is indicated by the edge information, and at least one line segment located on an end portion of the captured image, and then (ii) cuts out, as output target image data, image data of the extraction region from the captured image data. This makes it possible to accurately and easily extract, from a captured image, a region including a rectangular image capture object that a user desires.

Abstract: When generating output image data represented by a reduced number of gray levels from gray level image data, an image processing apparatus subtracts a pixel value of a selected pixel from a pixel value of adjacent pixel, amplifies the reduced value obtained by the subtraction, adds the amplified value to a numerical value in a numerical matrix, and finds a pixel value in the output image data represented by a reduced number of gray levels of pixel values, based on a value obtained by further adding a value obtained by adding the amplified value to the numerical value in the numerical matrix to a predetermined value.

Abstract: An object extraction section of an image output apparatus determines as an extraction region either (a) a quadrangular region enclosed by a quadrangle in which all internal angles are less than 180° and sides are constituted by 4 edge pixel groups each in the form of a line segment, the 4 edge pixel groups being indicated by edge information, or (b) a polygonal region enclosed by a polygon in which all internal angles are less than 180° and sides are constituted by at least one edge pixel group in the form of a line segment, which edge pixel group is indicated by the edge information, and at least one line segment located on an end portion of the captured image, and then (ii) cuts out, as output target image data, image data of the extraction region from the captured image data. This makes it possible to accurately and easily extract, from a captured image, a region including a rectangular image capture object that a user desires.

Abstract: An image processing apparatus in which image data is transformed to spatial frequencies to obtain multiple frequency components, the obtained frequency components are processed, the processed frequency components are inversely transformed to image data, and the number of gray levels of the inversely transformed image data is decreased, and the image processing apparatus comprising a frequency component judgment section for comparing the absolute value of each of specific multiple frequency components in the multiple frequency components obtained after transformation to spatial frequencies with a predetermined value in terms of magnitude, a frequency component changing section for changing each of specific frequency components on the basis of the result of the comparison, and a noise addition section for adding a specific value to each of the specific frequency components having been changed and other frequency components.

Abstract: Image data is transformed into spatial frequency components, the transformed spatial frequency components are quantized, a modification process of changing spatial frequency components in a predetermined frequency domain is performed on the quantized spatial frequency components, the spatial frequency components on which the modification process is performed are inverse-quantized, the inverse-quantized spatial frequency components are inverse-transformed into image data, and the number of gray levels in the inverse-transformed image data is reduced to two levels, four levels or other levels based on threshold values. A high-quality binary image, quaternary image, etc. are generated by solving the problem of tone gap which occurs in the vicinity of output levels of the image data and solving the texture caused in dithering and worms caused in error diffusion.

Abstract: When generating output image data represented by a reduced number of gray levels from gray level image data, an image processing apparatus subtracts a pixel value of a selected pixel from a pixel value of adjacent pixel, amplifies the reduced value obtained by the subtraction, adds the amplified value to a numerical value in a numerical matrix, and finds a pixel value in the output image data represented by a reduced number of gray levels of pixel values, based on a value obtained by further adding a value obtained by adding the amplified value to the numerical value in the numerical matrix to a predetermined value.

Abstract: An image processing apparatus in which image data is transformed to spatial frequencies to obtain multiple frequency components, the obtained frequency components are processed, the processed frequency components are inversely transformed to image data, and the number of gray levels of the inversely transformed image data is decreased, and the image processing apparatus comprising a frequency component judgment section for comparing the absolute value of each of specific multiple frequency components in the multiple frequency components obtained after transformation to spatial frequencies with a predetermined value in terms of magnitude, a frequency component changing section for changing each of specific frequency components on the basis of the result of the comparison, and a noise addition section for adding a specific value to each of the specific frequency components having been changed and other frequency components.

Abstract: Image data is transformed into spatial frequency components, the transformed spatial frequency components are quantized, a modification process of changing spatial frequency components in a predetermined frequency domain is performed on the quantized spatial frequency components, the spatial frequency components on which the modification process is performed are inverse-quantized, the inverse-quantized spatial frequency components are inverse-transformed into image data, and the number of gray levels in the inverse-transformed image data is reduced to two levels, four levels or other levels based on threshold values. A high-quality binary image, quaternary image, etc. are generated by solving the problem of tone gap which occurs in the vicinity of output levels of the image data and solving the texture caused in dithering and worms caused in error diffusion.

Abstract: A color conversion device includes a region judging section for judging which region of a three-dimensional color space contains an input value, and/or a representative points-dispersed axis selecting section for selecting a representative points-dispersed axis which is nearest to said input value. Additionally, the color conversion device includes a representative points selecting section for selecting representative points in the vicinity of the input value among representative points discretely arranged along (or within) the selected representative points dispersed axis; a look-up table (LUT) which stores coordinates of representative points and color correction data; and a linear interpolation section for performing color conversion by weighting based on the selected representative points.