Underwater image enhancement method based on background light optimization and gamma transformation

Abstract

The invention discloses an underwater image enhancement method based on background light optimization and gamma transformation, and belongs to the field of computer vision, and the method comprises the following steps: carrying out the defogging processing of an underwater image, and obtaining a defogged underwater image; gamma transformation is carried out on the defogged underwater image to obtain an underwater image after contrast improvement; and carrying out color correction on the contrast-improved underwater image by adopting a main channel pixel extreme value method to obtain a color-balanced underwater image. According to the method, an improved background light estimation method is adopted, whether the point can serve as the background light of the whole image is measured by using the color saturation of the neighborhood of the candidate point, the estimation error is reduced, and the image quality is improved; in order to solve the problems of color distortion, color cast and the like of the restored image, a gamma transformation and color correction combined method is utilized to improve the contrast of the image and improve the condition of uneven brightness of the image.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an underwater image enhancement method based on background light optimization and gamma transformation. Background technique [0002] The dark channel prior method is based on the statistics of a large number of natural and real images. It is a method of restoring the image by analyzing the image degradation model and inversely solving the imaging model. The image in the non-sky area It has a good effect on fog removal. Considering that it is different from the transmission mode in the air, the underwater image enhancement method based on the dark channel prior theory usually introduces the attenuation coefficient of water to different wavelengths of light when estimating the transmittance, and uses the soft matting algorithm to refine the transmission map to obtain a more accurate image. smooth images. [0003] For the light source area and the noise point part in the underwater...

AI Technical Summary

Problems solved by technology

[0004] When the traditional dark channel prior method is applied to underwater images, due to the influence of underwater noise, the background light estimation error of the underwater image increases; and the image restored by the dark channel prior method still has the problem of color distortion and color cast. Poor visual effect and unobjective restored image

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