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A Fast MSRCR Algorithm Using Hierarchical Discrete Correlation  

Han, Kyu-Phil (금오공과대학교 컴퓨터공학과)
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Abstract
This paper presents an improved fast MSRCR algorithm that MSRs are commonly adopted at tone mapping in color vision. Conventional MSRs consist of three SSRs, which use three Gaussian functions with different scales as those surround ones. This convolution processes require much computation load. Therefore, the proposed algorithm adopts a hierarchical discrete correlation which is equivalent to Gaussian function and the Retinex process is only applied to the luminance channel in order to get a fast processing. A simple color preservation scheme is applied to the Retinex output from the luminance channel in the proposed MSRCR algorithm. Experimental results show that the proposed algorithm required less number of oprations and computation time about 1/9.5 and 1/3.5 times, respectively, than those of the simplest MSR and was equivalent to conventional MSRs.
Keywords
Tone mapping; Retinex algorithm; MSR; Hierarchical discrete correlation; MSRCR;
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Times Cited By KSCI : 1  (Citation Analysis)
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