Blurred image non-blind restoration method based on edge image block sharpening

A technology for blurring images and edge maps, which is applied in the field of image processing, and can solve problems such as severe ringing stripes at the edge of images, amplifying image noise, etc., to avoid ringing effects and achieve the effect of improving edge definition
CN110807738AActive Publication Date: 2020-02-18HANGZHOU DIANZI UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HANGZHOU DIANZI UNIV
Publication Date
2020-02-18

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Abstract

The invention discloses a blurred image non-blind restoration method based on edge image block sharpening. The method comprises the following steps: establishing an edge image block database; extracting an edge segmentation image G1 and a smooth region segmentation image G2 of the blurred image G; carrying out grid division on the edge segmentation image G1, and carrying out matching sharpening processing on an edge region position image block with a pixel value in a divided grid region to obtain an edge region image G1'after sharpening updating; restoring the smooth region segmentation imageG2 to obtain a restored smooth region image G2 '; and obtaining a restored image G' of the blurred image G. The method has the advantages that the method is simple; according to the method, grid division is carried out on an edge area image, for each divided unit grid, a clear image block with the maximum gray similarity matching coefficient is searched and determined in an image block database, image block sharpening updating of an edge area is completed, edge definition is improved, and meanwhile the ringing effect caused by restoration algorithm iteration is avoided.
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Description

technical field

[0001] The invention relates to the field of image processing, in particular to a non-blind restoration method for blurred images based on edge block sharpening. Background technique

[0002] Image blurring is a problem often encountered by digital imaging acquisition equipment. Due to the defocus of the imaging optical system, the long exposure time of the handheld imaging device in low-light shooting, or the relative movement of the moving scene and the imaging sensor during the shooting process, the acquired image will be blurred and degraded, resulting in image resolution and Decreased detection capability. Image restoration algorithms need to be introduced to improve image quality.

[0003] The traditional non-blind restoration method, even when the point spread function is known in advance, needs to use the prior information of the image to model the image restoration constraint energy equation and solve the image restoration. This algorithm often ca...

Claims

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