Low-quality image enhancement method under severe weather conditions

Abstract

The invention discloses a low-quality image enhancement method under severe weather conditions, and belongs to the field of image processing. The method solves the problem that images obtained by homomorphic filtering have serious color degradation or the problem that a halo phenomenon occurs and a local part is too bright due to the Retinex algorithm when light is not uniform. According to the method, a to-be-processed image is read, the color of the image is repaired through a Retinex method into an RGB space, and a colorful improved image F is obtained; the to-be-processed image is read, the image brightness range is compressed by using a homomorphic filtering algorithm in an HSV space, and the contrast ratio is enhanced to obtain the improved brightness image Jv; the processing resultsin step 1 and step 2 are unified in the HSV space, the hue and saturation information of the image after Retinex processing is extracted, the brightness information of the image obtained after homomorphic filtering processing is extracted, and the extracted hue, the saturation information and the brightness information are fused to obtain a final image. The method is used for enhancing low-quality images.

Description

technical field [0001] The invention relates to a method for enhancing low-quality images under severe weather conditions, which is used for enhancing low-quality images and belongs to the field of image processing. Background technique [0002] In the field of image processing and computer vision, serious degradation of images collected by image collectors under severe weather conditions is a long-standing problem. With the rapid development of computer vision, in order to serve the follow-up analysis, interpretation, recognition and tracking work, people put forward higher and higher requirements for the quality of images. Severe weather is the leading cause of degradation in today's outdoor images. [0003] When shooting outdoor images, the image quality is greatly affected by the weather. Different particles scattered in the atmosphere under different weather conditions will have different effects on image formation. The raindrops scattered in the atmosphere in rainy ...

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to solve the problem that when the prior art processes color images, the image obtained by homomorphic filtering will have serious color degradation; or the Retinex algorithm will produce "halo" phenomenon when the illumination is uneven, and local over At the same time, it cannot play the role of compressing the dynamic range and color fidelity of the image; and when the homomorphic filtering and the Retinex algorithm are processed sequentially, the problems of post-processing and homomorphic filtering or the Retinex algorithm also exist.

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