Generation-based Joint Luminance-Chrominance Learning for Underwater Image Quality Assessment

Underwater enhanced images (UEIs) are affected by not only the color cast and haze effect due to light attenuation and scattering, but also the over-enhancement and texture distortion caused by enhancement algorithms. However, existing underwater image quality assessment (UIQA) methods mainly focus...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology 2023-03, Vol.33 (3), p.1-1
Hauptverfasser:	Wang, Zheyin, Shen, Liquan, Wang, Zhengyong, Lin, Yufei, Jin, Yanliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bi-directional reference generation Chromatic distortion Color Distortion Domains Feature extraction Feature mapping Image color analysis Image enhancement Image quality Image quality assessment Light attenuation Luminance Mapping Modules Optical distortion Performance evaluation Quality assessment Representations Sharpness distortion Underwater Underwater image
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