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Colorful digital image repairing method based on compressed sensing

A digital image and compressed sensing technology, applied in the field of image processing, can solve problems such as unsatisfactory results

Inactive Publication Date: 2012-07-25
SHANGHAI JIAO TONG UNIV
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  • Claims
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Problems solved by technology

However, the traditional image restoration algorithm needs to analyze and restore according to the structure of the original image, and the image restoration effect of different structures is also different, and the effect of recovering pictures with certain structures through traditional methods is not ideal

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  • Colorful digital image repairing method based on compressed sensing
  • Colorful digital image repairing method based on compressed sensing
  • Colorful digital image repairing method based on compressed sensing

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Embodiment Construction

[0071] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments, but the protection scope of the present invention should not be limited thereby.

[0072] This embodiment adopts the color image of Tree whose size is 256x256, see figure 1 , denoted as X∈R n×n , where n=256.

[0073] A color digital image restoration method based on compressed sensing, comprising the steps of:

[0074] The first step is to preprocess the original damaged image. In this embodiment, the image processing tool Adobe Photoshop is used to assign the R, G, and B values ​​​​of the image damage to 0, that is, the damaged part of the image is processed as black, so that the subsequent Steps are processed, and the color image is obtained after processing in this step, such as figure 2 shown.

[0075] In the second step, the image is divided into blocks to obtain multiple image blocks, and then each image block is analyzed to generate a degra...

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Abstract

The invention provides a colorful digital image repairing method based on compressed sensing, comprising the following steps: step 1, pre-treating an original damaged image and assigning a value of a damaged part of the image to be 0; step 2, dividing the image into blocks and analyzing to generate a singular matrix of the damaged part of each image block; step 3, multiplying the image blocks obtained in step 2 by the singular matrix to obtain a signal to be collected; then, representing the signal to be collected by using a CS sparse base to obtain a corresponding sparse signal; and finally, multiplying the sparse image by a randomly-generated Gaussian measurement matrix to obtain an observation signal; and step 4, utilizing a logarithm barrier function method based on total variation to recover a CS observation signal obtained in step 3 to obtain a recovered image. According to the colorful digital image repairing method based on compressed sensing, a specific structure which is not attached to the image has a similar recovering effect aiming to different images and can be used in different environments.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a color digital image restoration method based on compressed sensing. Background technique [0002] Image inpainting is an important part of image restoration research, and its main purpose is to improve image quality. For a degraded or noise-contaminated image, the restoration process is a process of reconstructing or restoring the original image using some prior knowledge of the degradation phenomenon. As one of the research hotspots in computer graphics and computer vision, image restoration technology has great application value in cultural relics protection, film and television special effects production, virtual reality, and redundant object removal. [0003] According to the literature search, the traditional image restoration algorithms are all based on a certain type of mathematical model, such as inverse filtering method, partial differential equation method a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 张爱新李建华崔国庆王云程李生红
Owner SHANGHAI JIAO TONG UNIV
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