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Weight-guided filtering-based digital-image repair algorithm

A digital image and guided filtering technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as difficult to distinguish edge areas and texture areas, limited effects of damaged image restoration, and inaccurate priority calculation methods , to achieve the effect of wide application prospects and accurate digital image restoration effect

Active Publication Date: 2017-12-19
TIANJIN UNIV
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Problems solved by technology

And in the process of image restoration, only the confidence item and data item of the image are considered. In some cases, it is difficult to effectively distinguish the edge area and the texture area only based on these two factors, that is, the calculation method of the priority is not accurate enough. Causes limited effect on repair of broken images

Method used

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  • Weight-guided filtering-based digital-image repair algorithm
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  • Weight-guided filtering-based digital-image repair algorithm

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Embodiment Construction

[0018] The digital image restoration algorithm based on weight-guided filtering of the present invention is mainly composed of three parts: edge-preserving filtering of the damaged image to be repaired, calculation of the degree of change before and after filtering of the damaged image, and improvement of priority calculation function. The specific steps and principles are as follows:

[0019] 101: Edge-preserving filtering of damaged images to be repaired;

[0020] For the damaged image I to be repaired, edge-preserving filtering is performed based on the weight-guided filtering method to obtain the damaged image I after filtering. f :

[0021]

[0022]

[0023]

[0024]

[0025]

[0026] Where j is the pixel with i as the center and the size is ω i Any pixel in the window, |ω i | Is the window ω i Number of pixels within; ω j Is a window composed of pixels in the neighborhood with j as the center pixel, |ω j | Is the window ω j The number of pixels within; k is ω i With ω j Any pix...

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Abstract

The invention relates to a weight-guided filtering-based digital-image repair algorithm. The algorithm includes: adopting a weight-guided filtering-based manner to carry out image filtering on a to-be-repaired damaged image I to obtain a filtered damaged image I<f>; calculating a change degree A of pixel point brightness values of the to-be-repaired damaged images before and after filtering, and indexing the same; repairing a damaged area of the to-be-repaired damaged image I, and marking a corresponding target block thereof as a to-be-repaired block omega(p*); adopting a similarity measure function in a sample block-based digital-image repair algorithm to find an optimal matching block omega(q*) of the to-be-repaired block omega(p*) to complete repair of the omega(p*); and adopting a confidence item updating function in the sample block-based digital-image repair algorithm to complete confidence item updating of all pixel points in an area of the to-be-repaired block omega(p*), and removing the area of the omega(p*) from the damaged area to complete repair for the to-be-repaired damaged image I.

Description

Technical field [0001] The invention belongs to the field of computer image restoration, and can be used for cultural relic protection, film and television special effects production, and the like. Background technique [0002] Digital image restoration technology is a research hotspot in the field of image processing. It mainly realizes the automatic restoration of damaged images through related restoration algorithms. It is mainly used in the restoration of old photos, film and television special effects, scratch removal, digital watermarking and other fields. Significance and research value. [0003] The current digital image restoration technology is mainly aimed at image restoration in small areas and image restoration in large areas. Image restoration in small areas is usually based on partial differential equation models. Compared with the repair of small areas, the commonly used digital image repair algorithm at this stage is a large area digital image repair method based ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06T5/20
CPCG06T5/20G06T2207/10004G06T5/77
Inventor 朱程涛李锵滕建辅
Owner TIANJIN UNIV
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