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

Active Publication Date: 2020-02-18
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0004] The present invention mainly solves the problem that the existing non-blind restoration method will amplify image noise and cause serious ringing stripes at the edge of the image, and provides a method that can effectively improve the resolution of the image edge area and avoid false information such as ringing at the same time. Non-blind Restoration Method of Blurred Image Based on Edge Block Sharpening

Method used

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

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Embodiment

[0055] In this embodiment, a blurred image non-blind restoration method based on edge block sharpening, such as figure 1 shown, including the following steps:

[0056] S1: Establish a database of edge tiles, such as figure 2 shown, including the following steps:

[0057] S11: Establish a basic edge seed block. In this embodiment, a total of 12 basic edge seed blocks with a pixel size of 5×5 are established, such as image 3 As shown, from left to right and from top to bottom are single-pixel step edge seed image blocks:

[0058]

[0059] Two single-pixel step-edge seed image patches:

[0060]

[0061] Two-pixel step-edge seed patch:

[0062]

[0063] Corner edge seed image blocks:

[0064]

[0065] Ring edge seed image patch:

[0066]

[0067] Cross-edge seed image blocks:

[0068]

[0069] Single pixel step edge contrast flipped seed image patch:

[0070]

[0071] Two single-pixel step edge contrast flipped seed image patches:

[0072]

[007...

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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.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/11G06T7/12G06T7/136G06T7/181G06T7/40
CPCG06T7/12G06T5/003G06T7/181G06T7/136G06T7/40G06T7/11
Inventor 崔光茫赵巨峰石振辛青张钰
Owner HANGZHOU DIANZI UNIV
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