Abstract: In order to perform pseudo-three-dimensional display for analyzing color distribution, there are provided a color-distribution-information input step of inputting color-distribution information indicating color coordinate values that sample points in a first color system can have in a second color system, a user's-instruction input step of inputting an instruction of a user relating to an operation of generating object-surface information, and a generation step of generating three-dimensional-object-surface information in accordance with the instruction of the user, based on the color-distribution information.

Abstract: Color reproducibility is improved by enabling one to control a smoothing condition for each of plural positions on color space. When a color correction table is formed by using smoothing, the smoothing conditions respectively corresponding to the plural positions on the color space are set, and then the smoothing is performed according to the smoothing conditions.

Abstract: The analysis and evaluation techniques of a gamut mapping technique, which can reflect the determination result of the quality of gamut mapping in the gamut mapping technique, are demanded. Hence, a color distribution information file and image file are loaded, initial 3D object data is generated based on color distribution data, and initial image object data is generated based on image data. The image object data and 3D object data are displayed on a monitor. When the user inputs a message, a process corresponding to the input message is executed, and the updated image object data and 3D object data are displayed on the monitor.

Abstract: When tetrahedral interpolation is used in correction of color reproduction upon color adjustment, image disturbances such as pseudo edges and the like may occur since the surfaces of each tetrahedron satisfy the boundary condition. Hence, a pixel position of digital image data is calculated, RGB values at that pixel position are acquired, and the acquired RGB values are displayed on RGB value display area. L*a*b* values are calculated based on basis functions and coefficient values of a color calculation B-spline solid, and the calculated L*a*b* values are displayed on an L*a*b* value display area.

Abstract: Color values of a color space are stored in a color correction table. A smoothing process is performed on achromatic color values to remove artifacts and prevent image degradation caused by the correction process. The color values obtained from the smoothing process may also be adjusted for projection onto the achromatic axis.

Abstract: If only a specific color and its nearby colors of image data are adjusted, density discontinuation occurs in the image as a whole. If masking is performed to avoid this problem, the adjustment range cannot be bounded, so the processing time increases. On an adjustment parameter designating unit, a user designates, as parameters, a reference color, the adjusted value of the reference color, and an adjustment region in a color space. A coordinate transformer transforms the coordinates of image data as an element of a color correction table, on the basis of a transformation matrix for transformation to an object color space. This transformation matrix is formed on the basis of the parameters by a transformation matrix calculator. If a region determinator determines that the image data is in the adjustment region, an adjusted value calculator calculates an adjusted value on the basis of the parameters.

Abstract: In order to perform pseudo-three-dimensional display for analyzing color distribution, there are provided a color-distribution-information input step of inputting color-distribution information indicating color coordinate values that sample points in a first color system can have in a second color system, a user's-instruction input step of inputting an instruction of a user relating to an operation of generating object-surface information, and a generation step of generating three-dimensional-object-surface information in accordance with the instruction of the user, based on the color-distribution information.

Abstract: In order to perform pseudo-three-dimensional display for analyzing color distribution, there are provided a color-distribution-information input step of inputting color-distribution information indicating color coordinate values that sample points in a first color system can have in a second color system, a user's-instruction input step of inputting an instruction of a user relating to an operation of generating object-surface information, and a generation step of generating three-dimensional-object-surface information in accordance with the instruction of the user, based on the color-distribution information.

Abstract: It aims to improve color reproducibility by enabling to control a smoothing condition for each of plural positions on color space. When a color correction table is formed by using smoothing, the smoothing conditions respectively corresponding to the plural positions on the color space are set, and then the smoothing is performed according to the smoothing conditions.

Abstract: Color reproducibility is improved by enabling one to control a smoothing condition for each of plural positions on color space. When a color correction table is formed by using smoothing, the smoothing conditions respectively corresponding to the plural positions on the color space are set, and then the smoothing is performed according to the smoothing conditions.

Abstract: The analysis and evaluation techniques of a gamut mapping technique, which can reflect the determination result of the quality of gamut mapping in the gamut mapping technique, are demanded. Hence, a color distribution information file and image file are loaded, initial 3D object data is generated based on color distribution data, and initial image object data is generated based on image data. The image object data and 3D object data are displayed on a monitor. When the user inputs a message, a process corresponding to the input message is executed, and the updated image object data and 3D object data are displayed on the monitor.

Abstract: The analysis and evaluation techniques of a gamut mapping technique, which can reflect the determination result of the quality of gamut mapping in the gamut mapping technique, are demanded. Hence, a color distribution information file and image file are loaded, initial 3D object data is generated based on color distribution data, and initial image object data is generated based on image data. The image object data and 3D object data are displayed on a monitor. When the user inputs a message, a process corresponding to the input message is executed, and the updated image object data and 3D object data are displayed on the monitor.

Abstract: In order to acquire a good binary image at all levels of gray scale, an image processing apparatus for quantizing input multivalued image data by a multivalued error diffusion method, selecting a predetermined dot pattern based on the quantized image data and outputting a binary image is configured to have an error calculation division for calculating corrected value from a pixel value and a processed pixel diffusion error of an input image, and calculating a quantization error from an output density level corresponding to the corrected value, an image generation division for first acquiring a diffusion coefficient corresponding to a pixel value of the input image, and distributing the quantization error to surrounding pixels according to a weight assignment by the diffusion coefficient to generate the binary image, a diffusion coefficient generation division for generating a plurality of candidate diffusion coefficients, a computing division for acquiring an evaluation value for the binary image generated by

Abstract: When tetrahedral interpolation is used in correction of color reproduction upon color adjustment, image disturbances such as pseudo edges and the like may occur since the surfaces of each tetrahedron satisfy the boundary condition. Hence, a pixel position of digital image data is calculated, RGB values at that pixel position are acquired, and the acquired RGB values are displayed on RGB value display area. L*a*b* values are calculated based on basis functions and coefficient values of a color calculation B-spline solid, and the calculated L*a*b* values are displayed on an L*a*b* value display area.

Abstract: Color values of a color space are stored in a color correction table. A smoothing process is performed on achromatic color values to remove artifacts and prevent image degradation caused by the correction process. The color values obtained from the smoothing process may also be adjusted for projection onto the achromatic axis.

Abstract: It aims to improve color reproducibility by enabling to control a smoothing condition for each of plural positions on color space. When a color correction table is formed by using smoothing, the smoothing conditions respectively corresponding to the plural positions on the color space are set, and then the smoothing is performed according to the smoothing conditions.

Abstract: The analysis and evaluation techniques of a gamut mapping technique, which can reflect the determination result of the quality of gamut mapping in the gamut mapping technique, are demanded. Hence, a color distribution information file and image file are loaded, initial 3D object data is generated based on color distribution data, and initial image object data is generated based on image data. The image object data and 3D object data are displayed on a monitor. When the user inputs a message, a process corresponding to the input message is executed, and the updated image object data and 3D object data are displayed on the monitor.

Abstract: If only a specific color and its nearby colors of image data are adjusted, density discontinuation occurs in the image as a whole. If masking is performed to avoid this problem, the adjustment range cannot be bounded, so the processing time increases. On an adjustment parameter designating unit, a user designates, as parameters, a reference color, the adjusted value of the reference color, and an adjustment region in a color space. A coordinate transformer transforms the coordinates of image data as an element of a color correction table, on the basis of a transformation matrix for transformation to an object color space. This transformation matrix is formed on the basis of the parameters by a transformation matrix calculator. If a region determinator determines that the image data is in the adjustment region, an adjusted value calculator calculates an adjusted value on the basis of the parameters.

Abstract: In order to perform pseudo-three-dimensional display for analyzing color distribution, there are provided a color-distribution-information input step of inputting color-distribution information indicating color coordinate values that sample points in a first color system can have in a second color system, a user's-instruction input step of inputting an instruction of a user relating to an operation of generating object-surface information, and a generation step of generating three-dimensional-object-surface information in accordance with the instruction of the user, based on the color-distribution information.

Abstract: In order to acquire a good binary image at all levels of gray scale, an image processing apparatus for quantizing input multivalued image data by a multivalued error diffusion method, selecting a predetermined dot pattern based on the quantized image data and outputting a binary image is configured to have an error calculation division for calculating corrected value from a pixel value and a processed pixel diffusion error of an input image, and calculating a quantization error from an output density level corresponding to the corrected value, an image generation division for first acquiring a diffusion coefficient corresponding to a pixel value of the input image, and distributing the quantization error to surrounding pixels according to a weight assignment by the diffusion coefficient to generate the binary image, a diffusion coefficient generation division for generating a plurality of candidate diffusion coefficients, a computing division for acquiring an evaluation value for the binary image generated by