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Visual saliency-based image deblurring method

A deblurring and significant technology, applied in the field of deblurring, can solve problems such as image deblurring, achieve the effect of shortening the processing time and reducing the ringing phenomenon

Inactive Publication Date: 2014-01-15
ZHENGZHOU UNIV
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Problems solved by technology

[0009] Although the above-mentioned methods also achieve image deblurring, there are still considerable defects in the case of ensuring universality and high efficiency.

Method used

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Embodiment Construction

[0026] According to the visual attention mechanism, the present invention first uses whether the image is clear as the salient condition to divide the salient image to be processed to obtain salient parts and non-salient parts. In this embodiment, a frequency-domain-based saliency extraction algorithm is used to obtain the required saliency map. The reason why the present invention proposes an image deblurring method based on visual salience is that different blocks in the image will have differences in the degree of blur or differences in blur directions. Secondly, even if a block in different blurs is estimated to have a Blur kernel, using this blur kernel to deconvolute the entire image will only make the effect of the unblurred part worse.

[0027] After the salient division, the non-salient part of the image can be obtained without the salient part, and then the fast deblurring algorithm can be used for this part to estimate the blur kernel, and for the salient part, it i...

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Abstract

The invention relates to a visual saliency-based image deblurring method. The method is characterized in that according to a visual attention mechanism, saliency dividing is carried out on a to-be-processed image by utilizing image sharpness as a saliency condition, wherein the saliency dividing includes division of a saliency portion and a non-saliency portion; blurring kernel estimation is carried out on the non-saliency portion so as to obtain a blurring kernel K of the image; and a compensation mechanism is introduced and thus the obtained blurring kernel is applied to the whole to-be-processed image, and a ringing-free effect occurs at the edge of the saliency portion so as to obtain an image processed by deblurring. According to the method provided by the invention, as the visual attention-based saliency study, the blurred image is divided into two portions including the saliency portion and the non-saliency portion based on a saliency map; only the blurring kernel of the non-saliency portion is estimated and that is, the blurred portion of the blurred image is processed so as to maintain the clear portion. Therefore, the influence on blurred images with different blurring degrees of different portions and different blurring directions due to the same blurring kernel estimation processing can be eliminated.

Description

technical field [0001] The present invention relates to a deblurring method in the field of image restoration, in particular to an image deblurring method applied to a single image and based on the study of the salience of the visual attention mechanism, which can efficiently and quickly realize the deblurring of blurred images Vague. Background technique [0002] In the single image deblurring technology, the blurred image not only includes the image degradation caused by blur, but also includes the image degradation caused by noise. Therefore, it is a big difficulty to remove the noise first, because the detailed information of the image is covered by the noise, and the process of hastily removing the noise will inevitably damage the detailed information of the image, resulting in serious degradation of the final solution result; at the same time, based on the single The deblurring of an image also faces two problems - the estimation of the point spread function (blur ker...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 周兵王振飞吴亚平
Owner ZHENGZHOU UNIV
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