Underwater image enhancement method based on selective color compensation and three-interval equalization

An underwater image, selective technology, applied in the field of image processing, can solve problems such as color cast, image red artifact, noise amplification, etc., to achieve the effect of solving color distortion, highlighting image details, and improving contrast
CN111127359AActive Publication Date: 2020-05-08DALIAN MARITIME UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
DALIAN MARITIME UNIVERSITY
Publication Date
2020-05-08

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Abstract

The invention provides an underwater image enhancement method based on selective color compensation and three-interval equalization, and belongs to the image processing field. In order to solve the problems of color distortion, low contrast, blurred details and the like of an underwater degraded image, the method comprises a mean value-based selective color compensation method and a three-interval-based equalization method, and the compensation method comprises the following steps: calculating color mean values of R, G and B three-channel images to judge which channel the color of which is better stored, and taking the color channel which is better stored as a color compensation reference benchmark of the other two color channels; according to the equalization method, R, G and B three-channel images are decomposed into three sub-intervals through a lower side quantile method, and different equalization operations are adopted for the sub-intervals; and finally, color correction and contrast enhancement of the underwater degraded image are realized.
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Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to an underwater image enhancement method based on selective color compensation and three-interval equalization. Background technique

[0002] With the rapid development of computer vision and its wide application in underwater detection, underwater autonomous navigation and underwater biological monitoring and other fields. Underwater image enhancement has become an important research direction of computer vision. However, complex underwater environments often seriously affect the quality of underwater images. The scattering and absorption effects of water bodies lead to low contrast and color distortion in underwater images. In addition, random noise is easily introduced by the irregular movement of electronic components and photons during the imaging process. In conclusion, degraded images captured underwater have certain limitations in displaying and extracting valua...

Claims

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