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Image restoring method based on isotropic diffusion and sparse representation

A sparse representation and isotropic technology, applied in the field of image repair, can solve problems such as prone to mismatching and long processing time, and achieve the effect of speeding up the repair speed, improving performance, and ensuring smoothness

Inactive Publication Date: 2009-11-04
HUNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The disadvantage of this type of technique is that the processing time is long, and it is easy to generate false matches when searching for candidate padding blocks in smooth regions.

Method used

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Examples

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Embodiment Construction

[0017] In the embodiment of the present invention, the image inpainting method based on isotropic diffusion and sparse representation is used for image 3 (a) to repair, this method presses figure 1 The process shown is carried out, and the specific implementation details of each part are as follows:

[0018] 1. According to the image information around the defect area, the defect area is classified

[0019] Image restoration technology is essentially a process of filling the image information around the defect area after certain processing. Therefore, the image information around the defect area plays a decisive role in image restoration. The present invention uses local texture distribution analysis to obtain the texture distribution around the defect area. According to the different properties of the defect area, different methods are selected for repair. The local texture distribution analysis of the present invention is a process of calculating the texture information c...

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Abstract

The invention discloses an image restoring method based on isotropic diffusion and sparse representation, which comprises the following steps: dividing a defective region of an image into a homogenous region and a complex region according to information of a surrounding image of the defective region; restoring the homogenous region by an isotropic diffusion method; restoring the complex region by a sparse representation method; and fusing restoration results of the restored homogenous region and the restored complex region to obtain a restoration result of the defective region, and replacing a defective part of a source image with the restoration result of the defective region to obtain a final restoration result image. The restoration result image is superior to results generated by the prior like restoring method; the method has high restoring speed, is suitable to be applied to restoring real pictures and composite images with complicated texture and structure characteristics; moreover, the method is also applicable to digital restoration of artworks and post production of film and TV programs.

Description

technical field [0001] The invention relates to an image restoration method, in particular to an image restoration method based on isotropic diffusion and sparse representation. Background technique [0002] Image inpainting is the process of filling the information-deficient area on the image. Its purpose is to restore the image with information loss, and make the observer unable to detect that the image has been damaged and has been repaired. With the development of digital image processing technology, more and more fields expect to be able to modify the image to a certain extent, and achieve an effect that cannot be detected by human eyes. Therefore, digital image restoration technology has become a research hotspot in current computer graphics and computer vision. It has broad application prospects in lossy compression and error concealment in video communication. [0003] Currently, digital image inpainting techniques are mainly divided into two categories: structure-...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/50
Inventor 李树涛赵明
Owner HUNAN UNIV
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