Abstract: An enhancing degree for sharpness enhancing is determined as a parameter for enhancing the sharpness of the input image by using at least one of information about a subject included in the input image and information about the display for displaying the input image. By using the enhancing degree determined, color distribution is controlled on a first principal component analysis axis obtained by analysis based on a principal component analysis in a color space.

Abstract: An information display device and an information processor for performing, in the case where an image is delivered to information terminals such as a mobile phone varied in display, optimum image processing in accordance with performance of the display of each of the information terminals and content information including a material and an object distance contained in the image in addition to a framework of a color conversion by a color management technology. The information display device and the information processor are also capable of changing parameters of the image processing in accordance with a user image preference and an image texture input by the user.

Abstract: When an image inputted is displayed on the display, determined is an enhancing degree as a parameter for enhancing the sharpness of the input image by using at least one of information about a subject included in the input image and information about the display for displaying the input image. By using the enhancing degree determined, color distribution is controlled on a first principal component analysis axis obtained by analysis based on a principal component analysis in a color space. Furthermore, the texture of the subject is magnified in size and again mapped onto the subject. Due to this, the input image can be enhancement-processed to a well texture feeling easy to view.

Abstract: Disclosed is an apparatus and method for color-editing capable of simply carrying out color-editing spectral values, such as spectral reflectance, spectral transmittance, spectral radiance and spectral radiant intensity. When color-editing a spectral value of spectral image, the spectral color is transformed into a low-dimensional color space easy for the human to handle in an HLS space transforming section and color-editing and color-correction are carried out in the low-dimensional color space in on HLS color-editing section thereby generating a proper spectral value from a transformed low-dimensional color in a spectral-space inverse-transforming section. Also, a spectral color editing section receives a spectral editing instruction signal and transforms a wavelength width of a spectral color peak to a narrow one, thereby improving saturation.

Abstract: When an image inputted is displayed on the display, determined is an enhancing degree as a parameter for enhancing the sharpness of the input image by using at least one of information about a subject included in the input image and information about the display for displaying the input image. By using the enhancing degree determined, color distribution is controlled on a first principal component analysis axis obtained by analysis based on a principal component analysis in a color space. Furthermore, the texture of the subject is magnified in size and again mapped onto the subject. Due to this, the input image can be enhancement-processed to a well texture feeling easy to view.

Abstract: Disclosed are an image compression device for accurately compressing and reproducing a multi-spectral image, an image of a color space not dependent upon a device and lighting or a multi-primary-color image, and an image uncompression apparatus utilizing the same. An image compression device comprises a cluster storing section for storing a parameter for classifying image signals of an input image into a plurality of clusters, a cluster fixing section for fixing which cluster each of the inputted image signal belongs to that is stored in the cluster storing section; and a cluster-base image compressing section for performing a different image compression processes of image signal on a cluster-by-cluster basis. The image compression device thus configured can accurately compress and reproduce, at high compression ratio, a multi-spectral image, an image of a color space not dependent upon a device and lighting or a multi-primary-color image.

Abstract: There is disclosed a method for converting color image data inputted from an image input apparatus to a color space which is not dependent on the apparatus and/or lighting with a high precision, the method comprising: setting a plurality of sets of a subject as a main constituting element of an image inputted from the image input apparatus, means for estimating color data which is not dependent on the apparatus and/or the lighting for each set, judging whether or not each pixel of the image data inputted from the image input apparatus belongs to the set of the subject, and selecting the estimating means based on a judgment result to estimate the color data which is not dependent on the apparatus and/or the lighting; learning a distribution of a specified object for each set in the color space after color conversion during color conversion of the image, performing tentative color conversion from an input image signal, and using the signal after the tentative color conversion to judge the set to which each pixe

Abstract: An enhancing degree for sharpness enhancing is determined as a parameter for enhancing the sharpness of the input image by using at least one of information about a subject included in the input image and information about the display for displaying the input image. By using the enhancing degree determined, color distribution is controlled on a first principal component analysis axis obtained by analysis based on a principal component analysis in a color space.

Abstract: When an image inputted is displayed on the display, determined is an enhancing degree as a parameter for enhancing the sharpness of the input image by using at least one of information about a subject included in the input image and information about the display for displaying the input image. By using the enhancing degree determined, color distribution is controlled on a first principal component analysis axis obtained by analysis based on a principal component analysis in a color space. Furthermore, the texture of the subject is magnified in size and again mapped onto the subject. Due to this, the input image can be enhancement-processed to a well texture feeling easy to view.

Abstract: A gamut judging apparatus of the present invention has source color distance calculator 1 that calculates the length of a source color vector connecting a source color as an object to judge whether the source color is in or out of gamut of a device and a center color set in the gamut, gamut distance calculator 3 that calculates a gamut distance between the center color and an intersection at which the source color vector or an extended source color vector intersects a gamut boundary of the device, and a judging section that judges that the source color is out of the gamut of the device when the length of the source color vector is larger than the gamut distance, and judges that the source color is in the gamut of the device when the length of the source color vector is smaller than the gamut distance.

Abstract: An information display device and an information processor for performing, in the case where an image is delivered to information terminals such as a mobile phone varied in display, optimum image processing in accordance with performance of the display of each of the information terminals and content information including a material and an object distance contained in the image in addition to a framework of a color conversion by a color management technology. The information display device and the information processor are also capable of changing parameters of the image processing in accordance with a user image preference and an image texture input by the user.

Abstract: Disclosed is an apparatus and method for color-editing capable of simply carrying out color-editing spectral values, such as spectral reflectance, spectral transmittance, spectral radiance and spectral radiant intensity. When color-editing a spectral value of spectral image, the spectral color is transformed into a low-dimensional color space easy for the human to handle in an HLS space transforming section and color-editing and color-correction are carried out in the low-dimensional color space in on HLS color-editing section thereby generating a proper spectral value from a transformed low-dimensional color in a spectral-space inverse-transforming section. Also, a spectral color editing section receives a spectral editing instruction signal and transforms a wavelength width of a spectral color peak to a narrow one, thereby improving saturation.

Abstract: Disclosed are an image compression device for accurately compressing and reproducing a multi-spectral image, an image of a color space not dependent upon a device and lighting or a multi-primary-color image, and an image uncompression apparatus utilizing the same. An image compression device comprises a cluster storing section for storing a parameter for classifying image signals of an input image into a plurality of clusters, a cluster fixing section for fixing which cluster each of the inputted image signal belongs to that is stored in the cluster storing section; and a cluster-base image compressing section for performing a different image compression processes of image signal on a cluster-by-cluster basis. The image compression device thus configured can accurately compress and reproduce, at high compression ratio, a multi-spectral image, an image of a color space not dependent upon a device and lighting or a multi-primary-color image.

Abstract: There is disclosed a method for converting color image data inputted from an image input apparatus to a color space which is not dependent on the apparatus and/or lighting with a high precision, the method comprising: setting a plurality of sets of a subject as a main constituting element of an image inputted from the image input apparatus, means for estimating color data which is not dependent on the apparatus and/or the lighting for each set, judging whether or not each pixel of the image data inputted from the image input apparatus belongs to the set of the subject, and selecting the estimating means based on a judgment result to estimate the color data which is not dependent on the apparatus and/or the lighting; learning a distribution of a specified object for each set in the color space after color conversion during color conversion of the image, performing tentative color conversion from an input image signal, and using the signal after the tentative color conversion to judge the set to which each pixe