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Image restoring method

A repair method and image technology, applied in the field of image repair, can solve problems such as inapplicable repair and large restrictions

Inactive Publication Date: 2011-08-31
NANJING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These algorithms have achieved quite good results in image restoration, but due to the limitations of existing methods based on partial differential equation repair methods, such algorithms are not suitable for repairing large image areas.

Method used

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Embodiment Construction

[0050] The present invention is described in further detail in conjunction with accompanying drawing and specific embodiment:

[0051] First define some symbols, such as figure 1 Shown: For the image I to be repaired, the area to be repaired is defined as Ω, which is usually manually calibrated, also known as the unknown area, and its shape is not subject to any restrictions; the boundary of Ω is, as the repair progresses, it changes constantly; The area is Φ(Φ=I-Ω), which is the sampling space filling the Ω area, also called the source area; in addition, the target sample block to be repaired on the boundary is defined as Ψ t , the source sample block obtained by similarity matching calculation search in the source area is Ψ s .

[0052] like figure 2 Shown, the present invention comprises the following steps:

[0053] Step 1: Select the area to be repaired on the image.

[0054] In step two, the image to be repaired is decomposed by using the directional empirical mode...

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Abstract

The invention relates to an image restoring method, which comprises the following steps: firstly carrying out direction and experience model decomposition on a target image, allowing to draw damaged edge structure information in a given area to be restored according to the existing information, utilizing a frequency characteristic value obtained by the direction and experience model decompositionto calculate similarity so as to firstly finish edge structure restoration in the whole damaged area, then combining degree of confidence to calculate the priority of a residual filling area according to gradient characteristics of pixel points on the boundary of the area to be restored, and utilizing a frequency characteristic value obtained by the decomposition again to calculate similarity so as to finish the restoration of corresponding areas. The method not only can restore the structure and texture information in a larger-scale defective area, but also can restore the images with certain sheltering relation. The robustness in the restoring process is high, thus effectively preventing continuous expansion of error information.

Description

technical field [0001] The invention relates to an image restoration method, which belongs to the fields of computer image processing and computer graphics, and specifically relates to an image restoration algorithm. Background technique [0002] Image restoration can be used to repair damaged paintings, photos and other image materials; it can be used to remove some specific objects in images or videos; it can be used to complete the acquisition, processing, transmission and decompression process of digital images or videos It can be used to repair the information defect area left by information loss; it can also be used for research on technologies such as super-resolution and highlight removal. This technology involves technologies in various fields such as image processing, computer vision, graphics, pattern recognition, artificial intelligence, and machine learning. In recent years, in terms of image and video restoration, researchers at home and abroad have proposed m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/20
Inventor 张岩孙正兴陈俞蕾杨克微周杰
Owner NANJING UNIV
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