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Detail Enhancement by Spatial Gamut Mapping Based on Local Contrast Compensation  

Song, In-Yong (School of Electronics Engineering, Kyungpook National University)
Ha, Ho-Gun (School of Electronics Engineering, Kyungpook National University)
Ha, Yeong-Ho (School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.49, no.4, 2012 , pp. 58-66 More about this Journal
Abstract
Currently many devices reproduce electronic images in the various ways. However, the color that is reproduced in any device is different from the original color due to the differences in the gamut between devices. A recent trend in gamut mapping algorithms is the use of spatial information to compute the color transformation of pixels from the input to the output gamut. However, these techniques share the problem of preserving details, and avoiding halos, and hue shift. In this paper, spatial gamut mapping for preserving the details of the input image is proposed. Our approach improves visibility of detail that is not effectively represented with conventional spatial gamut mapping. In proposed method, initially, we gamut map the input image using gamut clipping and obtain a detail layer for both the input and the gamut mapped images. Next, we calculate the difference between the two detail layers, obtaining the details of the out of gamut region. Finally, we add the details of out of gamut region to the gamut mapped image. Since the resulting image has out of gamut colors, we obtain resulting image of proposed method by using a gamut clipping method. Consequently, the printed output image was more consistent with the corresponding monitor image.
Keywords
색역;색역 사상;색 재현;
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