Abstract: A system for adjusting the representation of a device's color gamut in color appearance space, comprising performing forward mapping of sample colors from a device-dependent space to a device-independent color appearance space to obtain forward-mapped device-independent values, obtaining mismatch values for perceived device-neutrals, each mismatch value being a difference between a forward mapped value for the device-neutral and a neutral axis of the color appearance space, and adjusting each forward-mapped device-independent value by utilizing the obtained mismatch value for each corresponding lightness level of device-neutrals in order to obtain an adjusted forward mapping. The adjusting of each forward-mapped device-independent value may be a full adjustment of each value, or a partial adjustment that is performed in either a linear or non-linear manner and that may be based on chroma, lightness, or both.

Abstract: The present invention, which can be used with any lossy compression, concerns the selection of images to form a composite image which comprises the selected images, wherein, for at least one of the selected images, lossy compression of the composite image results in an improved compressibilty.

Abstract: Gamut mapping of an original image using one or more of plural different gamut mapping algorithms. The original image is subjected to spatial frequency analysis so as to determine spatial frequency content thereof, and different regions of the original image are gamut mapped using different ones of the plural gamut mapping algorithms based on the spatial frequency analysis. Because the gamut mapping algorithm for any one regions is selected based on spatial frequency content of the region, the gamut mapping algorithm is tailored more specifically to image content of the region, yielding gamut-mapped images with higher perceived color fidelity and colorfulness.

Abstract: The present invention, which can be used with any lossy compression, concern the selection of images to form a composite image which comprises the selected images, wherein, for at least one of the selected images, lossy compression of the composite image results in an improved compressibilty.

Abstract: Gamut mapping of an original image using one or more of plural different gamut mapping algorithms. The original image is subjected to spatial frequency analysis so as to determine spatial frequency content thereof, and different regions of the original image are gamut mapped using different ones of the plural gamut mapping algorithms based on the spatial frequency analysis. Because the gamut mapping algorithm for any one regions is selected based on spatial frequency content of the region, the gamut mapping algorithm is tailored more specifically to image content of the region, yielding gamut-mapped images with higher perceived color fidelity and colorfulness.

Abstract: Color image decoding is achieved by a simplified method of decoding a spatially and chromatically multiplexing image plane (32), such as a plane consisting of RGB (Red-Green-Blue) pixels (22) by performing a summation of pixels of all three colors in a neighborhood of a missing pixel. The decoding process has applications in decoding images made by a data processor, made by an imaging device with a mosaic color filter, or made by a multi-sensor CCD imaging device with a sensor offset (800). Various techniques of entropy reduction, smoothing and speckle reduction may be incorporated into the coefficient pattern. The coefficient pattern may be generated automatically using a process of correlated decoding and may be adjusted by hand using a process of trial and error.

Abstract: Color image compression and decompression is achieved by either spatially and chromatically multiplexing three digitized color planes, such as RGB (Red-Green-Blue) (22), into a digital array representative of a single digitized spatially- and chromatically-multiplexed plane (32, 813f) through use of a data processor or through use of a multi-sensor CCD imaging device with a sensor offset (800), or, by use of a color imaging device, capturing an image directly into a single spatially-multiplexed image plane, for further compression, transmission and/or storage. A decoder (50, 807, 923) extracts, from the stored or transmitted image, data to restore each of the color planes. Specific demultiplexing techniques involve correlating information of other planes with the color plane to be demultiplexed. Various techniques of entropy reduction, smoothing and speckle reduction may be used together with standard digital color compression techniques.

Abstract: Color image compression and decompression is achieved by either spatially and chromatically multiplexing three digitized color planes, such as RGB (Red-Green-Blue), into a digital array representative of a single digitized spatially- and chromatically-multiplexed plane, or, by use of a color imaging device, capturing an image directly into a single spatially-multiplexed image plane, for further compression, transmission and/or storage. At the point of decompression, a demultiplexer separately extracts, from the stored or transmitted image, data to restore each of the color planes. Specific demultiplexing techniques involve correlating information of other planes with the color plane to be demultiplexed. Various techniques of entropy reduction, smoothing and speckle reduction may be used together with standard digital color compression techniques, such as JPEG. Using lossless JPEG about 6:1 data compression is achieved with no losses in subsequent processing after initial compression.