Saturation improvement in hue-preserving color image enhancement without gamut problem | Zendy

Hengjun Yu | Zendy; Kohei Inoue | Zendy; Kenji Hara | Zendy; Kiichi Urahama | Zendy

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Saturation improvement in hue-preserving color image enhancement without gamut problem

Author(s) -

Hengjun Yu,

Kohei Inoue,

Kenji Hara,

Kiichi Urahama

Publication year - 2017

Publication title -

ict express

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.733

H-Index - 22

ISSN - 2405-9595

DOI - 10.1016/j.icte.2017.07.003

Subject(s) - hue , gamut , rgb color model , artificial intelligence , computer vision , spectral color , color balance , color image , color histogram , color depth , color space , mathematics , color model , luminance , hsl and hsv , primary color , rgb color space , computer science , image (mathematics) , image processing , medicine , virus , virology

This study proposes a method to improve the saturation of colors during hue-preserving color image enhancement without the gamut problem. First, the color of each pixel in an input image is projected onto one of three bisecting planes or bisectors of an RGB color cube to increase saturation. Then, that projected color is transformed into a target color with a designated luminance and the same hue as the original color. Experimental results show that the proposed method can enhance color images better than can recent hue-preserving color image enhancement methods.

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