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Gamma Correction for Local Brightness and Detail Enhancement of HDR Images
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 Title & Authors
Gamma Correction for Local Brightness and Detail Enhancement of HDR Images
Lee, Seung-Yun; Ha, Ho-Gun; Song, Kun-Woen; Ha, Yeong-Ho;
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 Abstract
Tone mapping for High Dynamic Range(HDR) image provides matching human visual perception between real world scene and displayable devices. Recently, a tone mapping algorithm based on localized gamma correction is proposed. This algorithm is using human visual properties of contrast and colorfulness with background intensity, generating a weight map for gamma correction. However, this method have limitations of controlling enhancement region as well as generating halo artifacts caused by the weight map construction. To overcome aforementioned limitations, proposed algorithm in this paper modifies previous weight map, considering base layer intensity of input luminance channel. By determining enhancement region locally and globally based on base layer intensity, gamma values are corrected accordingly. Therefore, proposed algorithm selectively enhances local brightness and controls strength of edges. Subjective evaluation using z-score shows that our proposed algorithm outperforms the conventional methods.
 Keywords
Tone Mapping;Gamma Correction;High Dynamic Range Image;
 Language
Korean
 Cited by
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