Abstract: An image processing method for processing image data comprises the steps of obtaining scanpath data corresponding to original image data, determining regions of interest for the original image data based on the obtained scanpath data, and mapping tone values of the original image data corresponding to each region of interest in order to obtain tone-mapped image data.

Abstract: Conversion of color data values from a rectangular coordinate system such as CIELab to a cylindrical coordinate system such as CIELCh using two one-dimensional look-up tables, one each for the C value and the h value. The one-dimensional look-up tables are accessed by defining a new variable &ggr; as the absolute value of the ratio of b and a.

Abstract: A color management system that transforms input image data from an input colorant space to an output colorant space using input and output device appearance transforms and a customizable gamut mapping algorithm. The gamut mapping algorithm is customizable based on the color management session in question, and in particular may be customizable based on the content of the image data, based on a comparison between input device appearance transforms and output device appearance transforms, or based on viewing conditions, output conditions or print media involved.

Abstract: The generation of a color transformation sequence comprised of transform steps, wherein the color transformation sequence is for transforming color image data. At least one reference to a color profile or a gamut mapping algorithm is received, and at least one transform step is generated based on the at least one reference, wherein the at least one transform step is a profile step or a gamut-mapping step. The at least one transform step is included in the color transformation sequence.

Abstract: A color management system that transforms input image data from an input colorant space to an output colorant space using input and output device appearance transforms and a customizable gamut mapping algorithm. The gamut mapping algorithm is customizable based on the color management session in question, and in particular may be customizable based on the content of the image data, based on a comparison between input device appearance transforms and output device appearance transforms, or based on viewing conditions, output conditions or print media involved.

Abstract: The present invention is directed to a mechanism of dynamically selecting a gamut mapping component for use in a color management system which transforms colors specified in image data from a first color space to a second color space, the method comprising automatically generating prediction information for use in selecting from a plurality of gamut mapping components, wherein the prediction information is based on determined gamut mapping preferences corresponding to at least one characteristic of the image data, and automatically selecting at least one of the plurality of gamut mapping components based on the prediction information.

Abstract: A metamerism-reducing color transformation in which a color value in a perceptual color space is mapped to a corresponding color value in a device dependent color space. Multiple different inverse transforms are applied to the color value in the perceptual color space, one each for respective ones of multiple different viewing conditions such as different viewing illuminants or different surround, thereby resulting in plural different target color values in a viewing condition dependent space. The plural different target color values in the viewing condition dependent space are subjected to regression analysis based on a spectral model of reflectance of device colors so as to calculate to a single color coordinate in device dependent coordinates that best fits the plural different target color values in the viewing condition dependent space. The regression analysis may be a weighted regression analysis.