Sparse representation-based blind restoration method of broad image

A technology of blurred images and sparse representation, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor image restoration effect

Active Publication Date: 2012-02-15
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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Problems solved by technology

[0003] In order to solve the technical problem of poor image restoration effect of the existing blurred image blind ...

Method used

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  • Sparse representation-based blind restoration method of broad image
  • Sparse representation-based blind restoration method of broad image
  • Sparse representation-based blind restoration method of broad image

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Experimental program
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Embodiment Construction

[0038] 1. Clear redundant dictionary training.

[0039] Randomly sample 50,000 9×9 image blocks from 100 clear images with the same resolution as the image to be restored, and train a clear redundant dictionary from the sampled image blocks. By continuously updating the dictionary, the representation of all sampled image blocks under the redundant dictionary meets a certain sparsity requirement, and training is performed by optimizing the following formula:

[0040] min D , α | | X - D * α | | 2 2 s . t . | | α i | | 0 ≤...

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Abstract

The invention relates to a sparse representation-based blind restoration method of a broad image, aiming at solving the technical problem that an image restored by the existing broad image blind restoration method is bad in effect. The method has the technical scheme that the broad image is sparsely represented by a fuzzy dictionary and a brilliant image is rebuilt by a brilliant dictionary to restore the image due to the characteristic that the sparse coefficient of the broad image under the fuzzy redundancy dictionary is coincident with that of the brilliant image under the brilliant redundancy dictionary. The illcondition during deconvolution can be avoided, the ringing effect at a high edge during image restoration can be reduced, and the image which is more brilliant can be obtained.

Description

technical field [0001] The invention relates to a blurred image blind restoration method, in particular to a blurred image blind restoration method based on sparse representation. Background technique [0002] The document "Regularized Blind Image Restoration Algorithm Based on Wavelet Transform, Optical Precision Engineering, 2007, Vol15(4), p582-586" discloses a regularized blind image restoration algorithm based on wavelet transform, which combines wavelet transform and automatic Combining the adaptive regularization method, the degraded image is first decomposed by wavelet to obtain the information of the image in different sub-bands; then, according to the frequency and direction characteristics of the image in each sub-band, different adaptive regularization restoration methods are used. The low-frequency sub-band of the image is deblurred; the high-frequency sub-band suppresses noise and preserves edge features; finally, the restored image is obtained through wavelet ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 张艳宁李海森朱宇段锋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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