Degraded image overall quality improving method in complex environment

Abstract

The invention puts forward a degraded image overall quality improving method in a complex environment and the method is used for solving a problem that poor image quality is caused because degrading factors are not fully overcome in conventional degraded image processing procedures in the complex environment. The degraded image overall quality improving method comprises the following steps: based on a dark channel prior theory, a dark channel of each of a plurality of degraded image frames to be processed is calculated, and therefore a plurality frames of dark channel images are obtained; via use of the plurality frames of obtained dark channel images, each frame of degraded image to be processed is subjected to defogging operation, and a plurality frames of defogged images are obtained; the plurality frames of defogged images are subjected to denoising operation, and therefore a plurality frames of denoised images are obtained; the plurality frames of denoised images are subjected to deblurring operation via a blind restoration method, and therefore a plurality frames of clear images are obtained; the plurality frames of obtained clear images are subjected to super-resolution reconstruction operation based on multiple frame and single frame combination, and finally high-resolution clear images can be obtained. Via use of the degraded image overall quality improving method, obtained images are rich in detailed information, and the degraded image overall quality improving method can be applied to the fields of safety monitoring, traffic detection, safety verification systems and the like.

Description

technical field [0001] The invention belongs to the technical field of comprehensive image processing, and relates to a method for improving the quality of degraded images in complex environments, in particular to a method for comprehensively processing degraded images in complex environments through defogging, denoising, blind restoration and super-resolution reconstruction The quality improvement method can be used in security monitoring, traffic detection, security verification system and other fields. Background technique [0002] In today's information age, images are widely used in various fields, and the requirements for image quality improvement and resolution enhancement are also paid more and more attention. In the process of collecting images in a complex environment, due to the influence of objective factors, noise is inevitably introduced; affected by bad weather such as rainy days, foggy days, etc., the image contrast is reduced and the interpretability is poor...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the above-mentioned defects in the prior art, and propose a method for improving the comprehensive quality of degraded images in complex environments, which is used to solve the problems caused by insufficient resolution of degradation factors in the process of processing degraded images in existing complex environments. Technical issues with poor image quality

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