High Dynamic Range Image Reproduction Based on Color Appearance Mapping

To solve the problem that different viewing conditions results in different color appearance between a reproduced image and its original one during high dynamic range(HDR) image reproduction, a new algorithm based on color appearance mapping for HDR image reproduction is presented. Firstly, the chrominance and luminance of the HDR image are processed separately, through the estimation of the original environment parameters, the HDR image is reproduced under the display environment by a color appearance model, which preserves the chromatic appearance across scene and display environments. Then the luminance image is regionalized adaptively according to the histogram characteristics, and a piecewise linear tone scale function is constructed to allocate the range of display luminance for different regions dynamically， which raises perceptual contrast of the image. Meanwhile, the details of the luminance image is extracted through bilateral filtering technology in order to maintain details. Finally, the processed chromatic and achromatic image is synthesized and the change of color appearance affected by luminance compressing is corrected, and then the reproduced low dynamic range image is obtained, which is mapped in color appearance with the original HDR image. Experiments show that the proposed algorithm gains advantages over the traditional ones in color appearance maintaining, dynamic range compressing, and the performance of details.