A Method for Large-Scale Image Restoration Based on Image Gradient Prior Model

An image gradient and prior model technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems that the optimal matching block cannot obtain visual effects, and the texture consistency between the repaired area and the known area cannot be considered. , to achieve effective recovery, overcome poor texture boundary consistency, and wide application range

Active Publication Date: 2016-03-09
THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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Problems solved by technology

However, the biggest disadvantage of these methods is that they fail to consider the texture consistency between the repaired area and the known area, and the optimal matching block obtained during the block matching priority calculation process often cannot obtain better visual effects, that is, the coherence of the boundary sex

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  • A Method for Large-Scale Image Restoration Based on Image Gradient Prior Model
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  • A Method for Large-Scale Image Restoration Based on Image Gradient Prior Model

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Embodiment Construction

[0040] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.

[0041] The present invention aims at the deficiencies of the above-mentioned prior art, and proposes an image repair method based on an image gradient prior model, which uses a Markov image gradient prior model to ensure the consistency of the image on the boundary; and establishes a unified The Bayesian inference framework uses the non-local mean model in the framework to describe the spatial constraints of the image, and finally uses the maximum expectation algorithm to complete the entire posterior probability estimation process.

[0042] The principle of image restoration in the present invention is: by establishing a unified Bayesian posterior probability framework, introducing a spatial domain probability model distribution based on non-local means, a Gaussian image noise model and an image gradient pr...

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Abstract

The invention relates to a large-scale image restoration achieving method based on an image gradient prior model. The method includes: reading-in information of an image to be restored, building an image noise model, a non-local mean value spatial domain probability model and an image gradient prior probability model according to the information of the image to be restored, building a Bayesian posterior probability model and calculating a posterior probability estimation value, confirming a value of the current pixel according to the posterior probability estimation value and saving the value of the current pixel, and then restoring the next pixel until restoration of the whole image is finished. The large-scale image restoration achieving method based on the image gradient prior model is used for solving the problem that texture boundary consistency is poor in the image restoration process in the prior art, making full use of redundancy of video images in a spatial domain, combining cooperative constraints of the non-local mean value spatial domain probability model and the image gradient prior probability model, and effectively restoring the information of images with large-scale damages. The large-scale image restoration achieving method based on the image gradient prior model is convenient to use and has a wider application range.

Description

technical field [0001] The invention relates to the field of image processing, in particular to the field of large-scale image restoration, and specifically refers to a method for realizing large-scale image restoration based on an image gradient prior model. Background technique [0002] Image inpainting is the process of repairing damaged images. With the development of digital technology, more and more image data are collected, stored and processed in a digital way. In the process of using digital images, we often encounter partial information loss of digital images. For example, after digitization of old film, there are often scratches, plaques and other damages in the images, and some data loss occurs in digital images. When editing an image, removing or moving text and objects in the image will result in a blank area of ​​the image. After the original characters in the image are removed, a large block of image data will be left blank. The absence of such information ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 成云飞黄瑾洪丽娟姚晨
Owner THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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