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5.2: Hue‐Preserving Color Enhancement Algorithm based on Detail Feedback in RGB Color Space
Author(s) -
Chen Yunna,
Pu Yiying,
Syu Shen-Sian,
Jou Ming-Jong
Publication year - 2018
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1002/sdtp.12633
Subject(s) - hue , rgb color model , gamut , color space , rgb color space , artificial intelligence , computer vision , computer science , color balance , color image , color histogram , hsl and hsv , color depth , spectral color , icc profile , color model , mathematics , algorithm , image processing , image (mathematics) , virus , virology , biology
In this paper, a hue‐preserving saturation adjustment mechanism processing in RGB color space is proposed for color images. It avoids the gamut problem thoroughly that can arise from the conversion between RGB space and other color coordinate. Furthermore, an image‐adaptive saturation enhancement algorithm based on detail feedback is introduced. Experimental results show that more detail information of images is remained in our proposed method.