Laser & Optoelectronics Progress, Volume. 58, Issue 14, 1410004(2021)
Underwater Image Enhancement Based on Differential Channel Gain and Improved Retinex
In order to improve the clarity and visibility of underwater images, an algorithm based on the combination of differential channel gain and improved multi-scale Retinex algorithm is proposed to improve the quality of underwater images. First, considering the strong attenuation of red light by the water medium, the improved gray-scale world method is used to gain the red channel separately to make it closer to the uniform lighting scene. Second, in order to eliminate foggy blur and enhance the contrast of details, the improved multi-scale Retinex algorithm processes the image after the difference channel is enhanced, and replaces the logarithmic function in the multi-scale Retinex algorithm with the tanh function to reduce the loss of data and ensure the integrity of the information. Finally, the adaptive gamma technology is used to adjust the brightness of the image distributed. Experimental results show that the image processed by the proposed algorithm is clear, natural in color, and has better visual effects.
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Caizhen Zhang, Binlong Kang, Ying Li, Yuan Chang. Underwater Image Enhancement Based on Differential Channel Gain and Improved Retinex[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410004
Category: Image Processing
Received: Oct. 10, 2020
Accepted: Nov. 12, 2020
Published Online: Jul. 8, 2021
The Author Email: Kang Binlong (570384183@qq.com)