Underwater image quality improvement algorithm based on color line model

Abstract

According to the underwater image restoration algorithm based on the color line model, the color line model in the atmosphere can be substituted into the underwater image generation model and the fogimage formation model on the premise that the low operation complexity is kept, and the problem that the definition contrast ratio of an underwater original shot image is not high and the color difference is obvious is solved. Experimental results show that the underwater image restoration task can be well achieved through the algorithm, a reconstructed clear image is closer to a real scene, the color is accurate, details are obvious, and better subjective performance and objective quality are achieved.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to an underwater image quality improvement algorithm based on a color line model. Background technique [0002] As an important branch of the image processing field, image restoration technology has always been a research hotspot in the field of science and engineering. Image restoration refers to the process of finding the cause of degradation based on the unclear original image with low visibility, and performing reverse processing based on a certain degradation model to restore a sufficiently clear and real target image. The improvement of underwater image quality is to apply the image restoration task to the special underwater environment. Through the restoration algorithm, the degradation of the original image taken underwater caused by complex effects such as scattering and absorption is solved, and the clear scene is restored. the process of. [0003] With th...

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Problems solved by technology

[0006] However, in the above methods, there are problems such as insufficient color restoration information and the expected error of the color of the water body itself, which may lead to errors. Recently, Fattal et al. introduced the color line model into the problem of scene depth estimation for dehazing. We found that it has an important role in image color Good functional properties in information exploitation, which prompted us to adopt the color line model to deal with the degradation problem in underwater environment, and propose a new method based on the color line model to deal with the problem of underwater image restoration

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