Underwater Image Enhancement Using Adaptive Retinal Mechanisms

We propose an underwater image enhancement model inspired by the morphology and function of the teleost fish retina. We aim to solve the problems of underwater image degradation raised by the blurring and nonuniform color biasing. In particular, the feedback from color-sensitive horizontal cells to...

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Veröffentlicht in:	IEEE transactions on image processing 2019-11, Vol.28 (11), p.5580-5595
Hauptverfasser:	Gao, Shao-Bing, Zhang, Ming, Zhao, Qian, Zhang, Xian-Shi, Li, Yong-Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Algorithms Animals biologically inspired vision Blurring color correction Color sensitivity Color Vision - physiology Cones Feedback Fish Fishes - physiology Ganglia Image color analysis Image contrast Image degradation Image edge detection Image enhancement Image Processing, Computer-Assisted - methods Image reconstruction Image transmission Model accuracy Models, Neurological Morphology Photoreceptors Radio frequency Retina Retina - physiology Retinal cells Retinal Ganglion Cells - physiology Signal Processing, Computer-Assisted Underwater image processing Underwater structures Water - physiology
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