A Large Area Image Restoration Method

A repair method and large-area technology, applied in the field of image processing, can solve problems such as unreasonable repair sequence, and achieve the effect of optimizing update strategy and accurate trust degree

Active Publication Date: 2022-05-27
WUHU HIT ROBOT TECH RES INST
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  • Description
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AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention provides a large-area image repair method to solve the problem of unreasonable repair order existing in the existing Criminisi algorithm

Method used

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  • A Large Area Image Restoration Method
  • A Large Area Image Restoration Method
  • A Large Area Image Restoration Method

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Embodiment Construction

[0029] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0030] figure 1 A flowchart of a large-area image restoration method provided by an embodiment of the present invention, the method includes the following steps:

[0031] S1. Input the damaged image and extract the boundary of the damaged area;

[0032] S2. Judging whether the boundary is empty, if the judgment result is yes, output the repaired image; if the judgment result is no, obtain the damaged block where each pixel point at the boundary is located, and find the damaged block with the largest priority value as the to-be-repaired block piece;

[0033] In the embodiment of the pres...

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Abstract

The present invention is applicable to the technical field of image processing, and provides a large-area image restoration method, including the following steps: S1, inputting a damaged image, and extracting the boundary of the damaged area; S2, judging whether the boundary is empty, and if the judging result is yes, outputting Repair the image, if the judgment result is no, obtain the damaged block where each pixel point at the boundary is located, and use the damaged block with the largest priority value as the block to be repaired; S3, find the optimal match that best matches the block to be repaired in the intact area block, use the optimal matching block to repair the block to be repaired; S4, update the confidence value of each pixel in the repaired block to be repaired, update the damaged area, and return to S2. The value of the confidence item of the damaged block is too large, and the point multiplication of the confidence item C(p) and the data item D(p) will increase the influence of the data item on the priority value. When the confidence item C(p) of the damaged block is small, balance consideration The contribution of confidence item C(p), data item D(p), grayscale change factor H(I) and color confusion C(I) to the priority value reflects the reasonable repair order of the damaged edge of the image to the greatest extent.

Description

technical field [0001] The invention belongs to the technical field of image processing and provides a large-area image restoration method. Background technique [0002] Image restoration is an important content in image restoration, and its purpose is to use the existing information of the image to restore the lost information. It can be used for the recovery of lost information in old photos, the removal of video text, and the concealment of video errors. In short, image inpainting is the process of filling in the information-deficient areas on the image. The purpose is to restore the image with information-deficient information, and make the observer unable to perceive that the image has been damaged or has been repaired. However, the traditional Criminisi When the algorithm calculates the priority function of the target image block, it tends to focus on the information perpendicular to the gradient direction, which may lead to an unreasonable pixel repair order. SUMMA...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 王磊樊旋陈健曹雏清高云峰
Owner WUHU HIT ROBOT TECH RES INST
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