Underwater image enhancement based on DCP and depth transmission map

Seeing that the light in the water is affected by absorption and scattering, underwater image will suffer degradation including low contrast, low visibility and color deviation. Therefore, the key issue of underwater image enhancement is to improve the visibility and the contrast of underwater image...

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Bibliographic Details
Published inMultimedia tools and applications Vol. 79; no. 27-28; pp. 20373 - 20390
Main Authors Yu, Haifeng, Li, Xinbin, Lou, Qian, Lei, Chengbo, Liu, Zhixin
Format Journal Article
LanguageEnglish
Published New York Springer US 01.07.2020
Springer Nature B.V
Subjects
Algorithms
Color imagery
Computer Communication Networks
Computer Science
Computer simulation
Data Structures and Information Theory
Deviation
Equalization
Histograms
Image contrast
Image degradation
Image enhancement
Image filters
Image quality
Image transmission
Light
Low visibility
Multimedia
Multimedia Information Systems
Quality assessment
Special Purpose and Application-Based Systems
Underwater
Visual effects
Underwater image enhancement
Double transmission map
Dual-image wavelet fusion
Contrast enhancement
Homomorphic filtering
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Summary:Seeing that the light in the water is affected by absorption and scattering, underwater image will suffer degradation including low contrast, low visibility and color deviation. Therefore, the key issue of underwater image enhancement is to improve the visibility and the contrast of underwater images. In this paper, we proposed an underwater image dehazing algorithm combining three main steps of homomorphic filtering, double transmission map and dual-image wavelet fusion. First at all, we removed the color deviation in the underwater image by homomorphic filtering. Then, we obtained the enhanced image by depth map which calculate the difference between the light and dark channels. Finally, the dual-image wavelet fusion technique is used to combine the enhanced image obtained by the depth map with the enhanced image obtained by the dark channel. In addition, we obtained the contrast enhanced image which use Contrast-Limited Adaptive Histogram Equalization (CLAHE) method. Through simulation experiments, the proposed method has better visual effects and better effect on entropy, average gradient and underwater color image quality evaluation (UCIQE) compared with other popular methods.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-020-08701-3