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Image blind restoration method based on blurred noise image pair joint optimization

A technology for joint optimization and blurring of images, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor restoration results and poor image effects, and achieve good results.

Active Publication Date: 2013-10-02
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0003] In order to overcome the shortcomings of poor image restoration effect of existing blind image restoration methods, the present invention provides a blind image restoration method based on joint optimization of fuzzy and noise image pairs
It avoids the inaccuracy of estimating the edge of the non-blurred image from the blurred image, which leads to the error of the estimation of the blur kernel, which causes the problem of poor restoration results, and obtains a better and more detailed image.

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  • Image blind restoration method based on blurred noise image pair joint optimization
  • Image blind restoration method based on blurred noise image pair joint optimization
  • Image blind restoration method based on blurred noise image pair joint optimization

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Embodiment Construction

[0027] The specific steps of the image blind restoration method based on the fuzzy noise image pair joint optimization of the present invention are as follows:

[0028] Given two images, the blurred image B and the noisy image N, the clear image L and the blur kernel K are jointly solved by the target energy function shown in formula (1):

[0029] { K , L } = arg min K , L { γ | | B - K ⊗ L | | 2 2 + β | | N - L | | 2 2 ...

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Abstract

The invention discloses an image blind restoration method based on blurred noise image pair joint optimization, 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 a noise image is introduced; effective edge information which is not blurred and contained in the noise image is utilized; a blurred kernel and a clear image are solved by joint objective function optimization of a joint blurred image and the noise image; the problems that the blurred kernel is misestimated and a restoration result is poor due to the fact that a non-blurred image edge is inaccurately estimated from the blurred image are solved; and the image with better effects and more details is obtained. The method improves the image restoration effect.

Description

technical field [0001] The invention relates to a blind image restoration method, in particular to an image blind restoration method based on joint optimization of fuzzy noise image pairs. Background technique [0002] The document "Robust Blind Restoration of Motion Blurred Images Based on Edge Information, Optoelectronics Laser, 2011, Vol22(10), p1982-1989" discloses 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...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 李海森张艳宁张海超孙瑾秋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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