当前位置: X-MOL 学术J. Electron. Imaging › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Single underwater image restoration based on adaptive color correction and adaptive transmission fusion
Journal of Electronic Imaging ( IF 1.1 ) Pub Date : 2020-07-15 , DOI: 10.1117/1.jei.29.4.043006
Aiping Yang 1 , Qian Wang 1 , Zhong Ji 1 , Jian Wang 1
Affiliation  

Abstract. When light propagates through water, there will be absorption and scattering. Due to this reason, underwater images suffer from color distortion, contrast loss, and detail blurriness. In order to improve the quality of underwater images, an underwater image restoration method based on adaptive color correction and adaptive transmission fusion strategy is proposed. First, an adaptive color correction algorithm is proposed to compensate the color attenuation. Second, based on the image blurriness, the underwater red channel prior (RCP) and the maximum RCP, an adaptive transmission fusion strategy is designed to estimate the transmission map, which can benefit from each other and collaboratively transmit the transmission accurately. Experimental results show that the proposed method can effectively remove color cast and improve contrast and visibility, especially for underwater images with high turbidity or artificial light sources.

中文翻译:

基于自适应色彩校正和自适应传输融合的水下单幅图像复原

摘要。光在水中传播时,会发生吸收和散射。由于这个原因,水下图像会出现颜色失真、对比度损失和细节模糊等问题。为了提高水下图像质量,提出了一种基于自适应色彩校正和自适应传输融合策略的水下图像恢复方法。首先,提出了一种自适应颜色校正算法来补偿颜色衰减。其次,基于图像模糊度、水下红色通道先验(RCP)和最大RCP,设计了一种自适应传输融合策略来估计传输图,可以相互受益并准确地协同传输传输。
更新日期:2020-07-15
down
wechat
bug