Underwater Image Enhancement Based on Local Contrast Correction and Multi-Scale Fusion

In this study, an underwater image enhancement method based on local contrast correction (LCC) and multi-scale fusion is proposed to resolve low contrast and color distortion of underwater images. First, the original image is compensated using the red channel, and the compensated image is processed...

Full description

Saved in:
Bibliographic Details
Published inJournal of marine science and engineering Vol. 9; no. 2; p. 225
Main Authors Gao, Farong, Wang, Kai, Yang, Zhangyi, Wang, Yejian, Zhang, Qizhong
Format Journal Article
LanguageEnglish
Published MDPI AG 01.02.2021
Subjects
deep learning
image processing
local contrast correction
multi-scale fusion
underwater image enhancement
Online AccessGet full text

Cover

More Information
Summary:In this study, an underwater image enhancement method based on local contrast correction (LCC) and multi-scale fusion is proposed to resolve low contrast and color distortion of underwater images. First, the original image is compensated using the red channel, and the compensated image is processed with a white balance. Second, LCC and image sharpening are carried out to generate two different image versions. Finally, the local contrast corrected images are fused with sharpened images by the multi-scale fusion method. The results show that the proposed method can be applied to water degradation images in different environments without resorting to an image formation model. It can effectively solve color distortion, low contrast, and unobvious details of underwater images.
ISSN:2077-1312
2077-1312
DOI:10.3390/jmse9020225