Blind restoration method of motion blurred image based on multi-scale self-similarity

A motion blurred image, blurred image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problem of poor image effect

Active Publication Date: 2015-12-02
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] In order to overcome the shortcomings of the existing image blind restoration methods with poor image restoration effects, the present invention provides a blind restoration method for motion blurred images based on multi-scale self-similarity

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  • Blind restoration method of motion blurred image based on multi-scale self-similarity
  • Blind restoration method of motion blurred image based on multi-scale self-similarity
  • Blind restoration method of motion blurred image based on multi-scale self-similarity

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Embodiment Construction

[0038] The specific steps of the method for blind restoration of motion blurred images based on multi-scale self-similarity in the present invention are as follows:

[0039] 1. Perform multi-scale downsampling on the blurred image B, respectively B o , B 1 ,...B s ,...,B S , where S is the number of downsampling, B 0 =B,B s =DB s-1 , D is the downsampling operator. The smaller s is, the larger the image scale is, and when s=0, it is the original blurred image. In this example, S=3, D is 0.5 times downsampling, such as B s-1 The image size is 256×256, then after B s = DB s-1 after B s The image size is B s-1 0.5 times of , which is 128×128.

[0040] 2. For the fuzzy image whose scale s is from 3 to 0, optimize and solve according to the following optimization function:

[0041] { K s , L s } = arg min ...

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Abstract

The invention discloses a motion blurred image blind restoration method based on multi-scale self-similarity, which is used for solving the technical problem that the available image blind restoration method is poor in image restoration effect. The method adopts the technical scheme that the multi-scale self-similarity characteristic of an image serves as prior information to be introduced into the image restoration problem; a clear image estimated by the previous scale serves as prior restriction of a next scale to conduct image restoration; a ring effect of the restoration image on a strong edge is reduced; and a clearer image can be obtained. The method improves the image restoration effect.

Description

technical field [0001] The invention relates to a blind image restoration method, in particular to a multi-scale self-similar blind restoration method for motion blurred images. Background technique [0002] The literature "Robust Blind Restoration of Motion Blurred Images Based on Edge Information, Optoelectronics Laser, 2011, Vol22(10), p1982-1989" proposed a robust method to obtain the blur kernel from a single blurred image and deblur the image image blind restoration method. In this method, the edge information of the unblurred image is firstly estimated by the bilateral filter and the shock filter, and then the blur kernel is calculated according to the edge relationship between the blurred image and the unblurred image. Finally, each sub-algorithm is designed under the multi-scale framework By setting adaptive parameters, a robust image blind restoration method is constructed. This method has a good restoration effect on blurred and degraded images. It not only effe...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 张艳宁李海森张海超孙瑾秋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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