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A non-blind restoration method for blurred images based on edge block sharpening

A technology for blurring images and edge maps, applied in the field of image processing, which can solve the problems of severe ringing stripes at the edge of the image, amplifying image noise, etc., and achieve the effect of improving edge definition and avoiding ringing effects

Active Publication Date: 2022-07-22
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

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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  • A non-blind restoration method for blurred images based on edge block sharpening
  • A non-blind restoration method for blurred images based on edge block sharpening
  • A non-blind restoration method for blurred images based on edge block sharpening

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Embodiment

[0055] This embodiment is a non-blind restoration method for blurred images based on edge block sharpening, such as figure 1 shown, including the following steps:

[0056] S1: Build edge tile database, 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 the single-pixel step edge seed image blocks:

[0058]

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

[0060]

[0061] Two-pixel step edge seed patch:

[0062]

[0063] Corner edge seed patch:

[0064]

[0065] Ring edge seed patch:

[0066]

[0067] Cross edge seed image block:

[0068]

[0069] Single-pixel step edge contrast flip seed patch:

[0070]

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

[0072]

[0073] Two-pixel step edge contrast flip ...

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Abstract

The present invention is a non-blind restoration method for blurred images based on edge block sharpening, comprising the following steps: establishing an edge block database; extracting an edge segmented image G of the blurred image G 1 and smooth region segmentation image G 2 ; segment the image G for edges 1 Perform grid division, and perform matching and sharpening processing on the edge area location blocks with pixel values ​​in the divided grid area to obtain the edge area image G after sharpening and updating. 1 '; segment the image G for the smooth region 2 Perform restoration to obtain the restored smooth region image G 2 '; Obtain the restored image G' of the blurred image G. The advantages of the present invention are: by dividing the image of the edge area into a grid, for each divided unit grid, search and determine the clear block with the largest matching coefficient of its grayscale similarity in the block database, and complete the image of the edge area. The block sharpening update improves the edge definition while avoiding the ringing effect caused by the iteration of the restoration algorithm.

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 blur is a common problem encountered by digital imaging acquisition equipment. Due to the defocusing of the imaging optical system, the long exposure time of the handheld imaging device during 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 if 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 carry out the image restoration solution. This alg...

Claims

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Application Information

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Patent Type & Authority Patents(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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