文献类型：期刊文献

英文题名：Underwater Image Restoration Based on A New Underwater Image Formation Model

作者：Zhang, Mohua[1,2];Peng, Jianhua[1]

第一作者：Zhang, Mohua;张墨华

通讯作者：Zhang, MH[1];Zhang, MH[2]

机构：[1]Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou 450002, Henan, Peoples R China;[2]Henan Univ Econ & Law, Coll Comp & Informat Engn, Zhengzhou 450002, Henan, Peoples R China

第一机构：Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou 450002, Henan, Peoples R China

通讯机构：[1]corresponding author), Natl Digital Switching Syst Engn & Technol Res Ct, Zhengzhou 450002, Henan, Peoples R China;[2]corresponding author), Henan Univ Econ & Law, Coll Comp & Informat Engn, Zhengzhou 450002, Henan, Peoples R China.|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

年份：2018

卷号：6

起止页码：58634-58644

外文期刊名：IEEE ACCESS

收录：;EI(收录号：20184205949331);Scopus(收录号：2-s2.0-85054680650);WOS:【SCI-EXPANDED(收录号:WOS:000449544000001)】；

基金：This work was supported in part by the Science and Technique Foundation of Henan Province, China, under Grant 152102210087 and in part by the Foundation of Educational Committee of Henan province, China, under Grant 14A520040.

语种：英文

外文关键词：Underwater image restoration; underwater image enhancement; underwater image prior; underwater imaging

摘要：Underwater image restoration is crucial for compute applications and consumer electronics. However, restoring underwater image from a single image is an odd-ill problem due to the complicated underwater environment. To improve the visual quality of underwater image, we propose an underwater image restoration method. First, we present a new underwater image formation model, which takes the properties of underwater imaging and light into account. Then, a medium transmission estimation method for underwater image based on joint prior is proposed, which, respectively, predicts the medium transmissions of three channels of an underwater image. Moreover, we replace the global background light, which is always used in previous underwater image restoration method, with the colors of light source to correct the color casts appeared on the degraded underwater image. The performance of the proposed method is evaluated on the degraded underwater images taken from different scenes by qualitative and quantitative comparisons. Experimental results demonstrate that our results look more visually pleasing and outperforms the results of several existing methods, especial for the colors and contrast.