Fusion defogging method based on variable step size guided filtering and contrast stretching

Abstract

The invention discloses a fusion defogging method based on variable step size guided filtering and contrast stretching, and the method comprises the steps: firstly carrying out the downsampling compression of an image, then carrying out the defogging operation, and finally carrying out the upsampling amplification through a bilinear difference value; wherein the defogging operation comprises RGB numerical value conversion operation, linear conversion operation, large-window high-pressurization filtering operation and white balance adjustment; wherein the linear transformation operation comprises grey-scale transformation, traversing a grey-scale map to obtain a maximum value and a minimum value, and traversing division; the large-window pressurization filtering operation comprising guidedfiltering and traversal multiply-add. According to the method, the defogging step can be optimized and the defogging speed can be improved on the premise that the defogging quality of the image is notinfluenced basically.

Description

technical field [0001] The invention belongs to the field of image defogging of image processing, in particular to a guided filter with variable step size and an image fusion defogging method using the guided filter. Background technique [0002] With the rapid development of society, people's various requirements for material life are constantly improving, and the number of various motor vehicles is constantly increasing, resulting in a large amount of pollution. At the same time, heavy industry cannot handle the exhaust gas well, which also leads to increasing air pollution It has become an extremely serious environmental problem. [0003] In the field of aviation, smog will seriously affect the pilot's vision, which makes the aircraft have great risks whether it is taking off or landing, and during the flight, the smog will cause the pilot's perceived distance to deviate from the actual distance, increasing the The possibility of accidents; in the field of video surveill...

AI Technical Summary

Problems solved by technology

[0005] 1. When processing full HD images, 2K images, and 4K images, the time taken for traversal in the linear stretching process is too long, and too many filtering windows are required in the filtering process;

[0006] 2. It is necessary to traverse and filter the maximum and minimum values ​​of the R, G, and B channels, and then traverse and divide each channel, which is too cumbersome;

[0007] 3. The guided filtering method with a step size of 1 cannot meet the real-time requirements of high frame rate processing scenes

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