Single-image self-adaptation defogging method based on domain transformation and weighted quadtree decomposition

Abstract

The invention discloses a single-image self-adaptation defogging method based on domain transformation and weighted quadtree decomposition. The method comprises the following concrete implementation steps that a foggy image is obtained, the foggy image is subjected to RGB (red green and blue) three-channel minimum value calculation to obtain a dark primary color image of the foggy image, the brightness average values of the foggy image and the dark primary color image are weighted, and the fog concentration of the foggy image is judged according to the weighted value range; a weighted quadtree decomposition method is used for determining the atmosphere light vector value through selecting the region with the most concentrated fog from the dark primary color image; a coarse transmission rate is obtained according to the dark primary color image, and the transmission rate value in a similar part to the atmosphere light value is corrected; a filter based on domain transformation is used for filtering the corrected transmission rate function, and in addition, a primary defogging image is obtained according to an atmosphere scattering model; the foggy image and the primary defogging image are transformed to an L alpha beta space, L passages of the two images are subjected to weighted fusion and are transformed back to the RGB space to obtain the final defogging image. The defogging method provided by the invention has the advantages that the image definition in foggy weather is improved, and the processing speed is high.

Description

technical field [0001] The invention relates to the field of digital image processing, in particular to the field of image restoration, in particular to an adaptive defogging method for a single image based on domain transformation and weighted quadtree decomposition. Background technique [0002] Image is the foundation of computer vision and the main way and means for human beings to obtain and utilize visual information. In real life, due to the increasingly serious environmental pollution, foggy days occur frequently. Affected by the fog, the video and images acquired by the acquisition equipment have problems such as low contrast and serious color distortion, which makes many features contained in the image covered or blurred, resulting in the inability of video surveillance products to capture clear on-site images. The reliability of all-weather outdoor computer vision systems such as traffic, outdoor monitoring systems, and safety precautions in various places has a ...

AI Technical Summary

Problems solved by technology

Liu Xuan (Xuan Liu, Fanxiang Zeng, Zhitong Huang, Yuefeng Ji, "Single color image dehazing based on digital total variation filter with color transfer," IEEE International Conference on Image Processing, pp.909-913, Sep.2013.) etc. A real-time image defogging algorithm based on a total variation digital filter was proposed. At the same time, aiming at the phenomenon that the color of the image after defogging is not rich enough, the color transformation model is introduced into the field of foggy color image clarity, so that the foggy image has with clear image color information, but the speed of the algorithm is slower

Images