Underwater Color Image Restoration Method Based on Color Correction and Red Channel Prior

A color image and color correction technology, which is applied in the field of image processing, can solve the problems of underwater color image restoration methods that have been published in literature, etc., and achieve the effect of eliminating uneven illumination, color distortion, and light source color
CN106485681BActive Publication Date: 2019-04-23HOHAI UNIV CHANGZHOU
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HOHAI UNIV CHANGZHOU
Publication Date
2019-04-23

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Abstract

The invention provides an underwater color image restoration method based on color correction and red channel priori. First, the Retinex algorithm is used to eliminate uneven illumination underwater; secondly, a method combining the Lambert diffuse reflection model and the grayscale world algorithm is used to estimate the color of the light source, and the attenuation of light under water imaging model is introduced for improvement and elimination. The color of the light source is used to achieve color correction; finally, the red channel prior method is used to restore the color-corrected underwater image. Therefore, the method provided by the present invention can effectively realize underwater color image restoration while eliminating uneven illumination and color distortion.
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Description

technical field

[0001] The invention relates to an underwater color image restoration method based on color correction and red channel prior, and belongs to the technical field of image processing. Background technique

[0002] In recent years, with the increasing demand for underwater environment perception, underwater imaging technology has developed rapidly and is mainly used in underwater surveys, underwater robots, marine biological monitoring, and marine military. However, underwater imaging is very different from atmospheric imaging. Affected by the scattering and attenuation of underwater light, the collected underwater optical images have the characteristics of low contrast, serious fogging, and uneven illumination, which is difficult for manual interpretation of images. And automatic parsing brings great difficulties. Therefore, it is of great significance to study underwater optical image restoration technology and restore the true appearance of underwater images...

Claims

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