Distortion detection and restoration integrated image processing system and method

Abstract

According to the distortion detection and restoration integrated image processing system and method provided by the invention, distortion detection and restoration of an image with an unknown distortion condition can be realized, and the restoration effect is relatively good. For an original image with an unknown distortion condition, the distortion detection module detects the distortion degree of each type of distortion in the original image through a plurality of parallel classifiers, and establishes the distortion vector of the original image, so that not only can the type of distortion contained in the to-be-processed image be detected, but also the corresponding distortion degree can be detected; the detection result accuracy is high; the original image is input into a main branch of the image restoration module, a corresponding distortion vector is input into an adjusting branch of the image restoration module, and the adjusting branch adjusts the main branch by taking the distortion vector as prior information, so that the method is suitable for restoration of different distorted original images, and is wide in applicable object range and high in adaptability. And the design considers the influence among various distortions.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image processing system and method integrating distortion detection and restoration. Background technique [0002] Image restoration is to analyze the distorted image and use effective means to improve the quality of the image, so that the restored image is as close as possible to the clear image without distortion. Image restoration technology has been applied in various fields, such as medical engineering, public security, and industrial production. In addition, image restoration, as a preprocessing process for advanced visual tasks, can effectively improve the accuracy of advanced visual tasks such as image segmentation and target detection. [0003] Most of the previous image restoration algorithms are aimed at image restoration problems of a single distorted image, such as image denoising, image deblurring, and image super-resolution reconstruction, etc., which ...

AI Technical Summary

Problems solved by technology

Since the distortion detection module uses SVM to judge the type of distortion, the accuracy rate needs to be improved. The distortion repair module uses a pipeline strategy to remove distortion. While removing one kind of distortion, some new distortions will be introduced, resulting in poor quality of the restored image.

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