Extraction and Mapping of Destination Color Gamut based on Mutual Color Space Conversion by Multilayered Neural Networks

摘要

Since the shape of color gamut differs for each color reproduction device, it is necessary to transform the colors in order to fit them into the reproducible colors, called Gamut Mapping. However, there have been no practical method for gamut mapping so far because it is difficult to describe the shape of gamut effectively. In this paper, we propose a method of extraction and mapping of desination color gamut based on mutual color space conversion between device-dependent and-independent color spaces performed by two multilayered neural networks.