Abstract: A method for modifying an image being defined by a matrix of pixels comprises: •calculating (1) a color frequency distribution of the matrix of pixels; •defining (3) for each pixel an energy value as a weighted function of the color frequency of the pixel, so as to define an image saliency map; •transforming (5) the image, said transformation being based on the pixel energy values. A computer software product to apply the method, an apparatus and a TV set are also disclosed.

Abstract: A method for modifying an image being defined by a matrix of pixels comprises: .calculating (1) a color frequency distribution of the matrix of pixels; . defining (3) for each pixel an energy value as a weighted function of the color frequency of the pixel, so as to define an image saliency map; .transforming (5) the image, said transformation being based on the pixel energy values. A computer software product to apply the method, an apparatus and a TV set are also disclosed.

Abstract: The invention relates to a method and a system for modifying input images (101) for generating output images (102), said method comprising the steps of: splitting (103) said input images (101) into coarse images (104) and fine images (105), enhancing (106) the sharpness of said coarse images (104) for generating intermediate sharpness-enhanced images (107), combining (108) said intermediate sharpness-enhanced images (107) and said fine images (105) for generating said output images (102).

Abstract: A method of converting a digital color image to a digital gray value image and in so doing distinguishably reproducing colors present in the color image is provided. The digital color image is built up of pixels each having a color value, and the digital gray value image is built up of pixels each having a gray value. The color values of the pixels are converted to gray values by the use of a dynamically adapted conversion function which is optimized on the basis of a comparison of color differences in the digital color image and gray value differences corresponding to the color differences in the digital gray value image. In this way, the colors which in conventional conversion methods are imaged on identical or substantially identical gray values can effectively be distinguishably reproduced.

Abstract: A method of converting a digital color image to a digital gray value image and in so doing distinguishably reproducing colors present in the color image is provided. The digital color image is built up of pixels each having a color value, and the digital gray value image is built up of pixels each having a gray value. The color values of the pixels are converted to gray values by the use of a dynamically adapted conversion function which is optimized on the basis of a comparison of color differences in the digital color image and gray value differences corresponding to the color differences in the digital gray value image. In this way, the colors which in conventional conversion methods are imaged on identical or substantially identical gray values can effectively be distinguishably reproduced.