Abstract
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.
Highlights
Given the shortage of natural resources on land, humans need to develop alternative resources in different bodies of water, such as the ocean
The red light has a faster attenuation speed than the blue light and the green light. It has the longest wavelength and the lowest frequency [3], which leads to visual color distortion in underwater images
The results show that the proposed details of underwater images effectively solved, and the local contrast effect is without immethod can be applied toare water degradation images in different environments proved
Summary
Given the shortage of natural resources on land, humans need to develop alternative resources in different bodies of water, such as the ocean. In 2017, Ancuti et al [4] improved their previous fusion method, proposed a new red channel compensation method, and updated the weight calculation method They obtained images with an enhanced display of the dark areas and improved overall contrast and edge sharpening. The underwater image enhancement algorithm based on fusion can effectively solve of 16 many problems of underwater images, such as blurring, low contrast, and color distortion. The white balance an underwater image enhancement method is proposed on the basis of local contrast method based on red channel compensation is used to thedetails imageofcolor. The results show that the proposed details of underwater images effectively solved, and the local contrast effect is without immethod can be applied toare water degradation images in different environments proved.
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