Abstract: A system and method for carrying out improved spatial and color adaptive gamut mapping algorithms, based on image decomposition in two bands Ihigh and Ilow using 5D bilateral filtering. A function g( ) applied to the low-pass band Ilow carries out black point compensation followed by a gamut clipping algorithm. Function k( ) applied to Ihigh is a locally adaptive function. The merging and adaptive mapping of IhighM and IlowM by function f( ) using local adaptive implementations of the two families of pointwise GMAs: compression and clipping is carried out. Two functions f( ) are proposed, they take into account the color properties of the neighborhood of each pixel.

Abstract: The invention is related to a method for image processing a raster image according to an amount of image enhancement, using an image keyword. A predetermined set of raster images with associated keywords is used, a raster image being a digital image with pixel values.

Abstract: A method for printing an image with colour pixels is disclosed. This method optimizes the print quality for a selected level of ink usage by maximizing a dot-off-dot strategy and separating between direct binary search dot patterns for a number of selected colorants in a printer comprising black colorant. Ink usage is controlled by determining the fraction of coinciding printer colorants that may be substituted by black colorant. The perceived error between the image pixels and the image dot pattern is minimized according to a human visual system model that excludes non-homogeneous patterns that affect the quality of the halftone textures. Dots for other colorants are processed independently and added to the obtained halftone dot pattern for the selected colorants.

Abstract: A method and system for adaptively compensating for the printer MTF. The MTF compensation applied locally depends on the local mean: Several compensated High-pass images are computed for different mean values. Then locally, depending on the value of the low-pass band, one compensation high-pass value is selected for the final result.

Abstract: A general framework for adaptive gamut mapping is presented in which the image is first decomposed in two bands, one containing the local means, the other the local variations. Two spatial and color adaptive gamut mapping algorithms are introduced. Based on spatial color bilateral filtering, they take into account the color properties of the neighborhood of each pixel. Their goal is to preserve both the color values of the pixels and their relations between neighbors.

Abstract: A method and system for adaptively compensating for the printer MTF. The MTF compensation applied locally depends on the local mean: Several compensated High-pass images are computed for different mean values. Then locally, depending on the value of the low-pass band, one compensation high-pass value is selected for the final result.

Abstract: A system and method for carrying out improved spatial and color adaptive gamut mapping algorithms, based on image decomposition in two bands Ihigh and Ilow using 5D bilateral filtering. A function g( ) applied to the low-pass band Ilow carries out black point compensation followed by a gamut clipping algorithm. Function k( ) applied to Ihigh is a locally adaptive function. The merging and adaptive mapping of IhighM and IlowM by function f( ) using local adaptive implementations of the two families of pointwise GMAs: compression and clipping is carried out. Two functions f( ) are proposed, they take into account the color properties of the neighborhood of each pixel.

Abstract: A general framework for adaptive gamut mapping is presented in which the image is first decomposed in two bands, one containing the local means, the other the local variations. Two spatial and color adaptive gamut mapping algorithms are introduced. Based on spatial color bilateral filtering, they take into account the color properties of the neighborhood of each pixel. Their goal is to preserve both the color values of the pixels and their relations between neighbors.