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A method of image restoration

A repair method and image technology, applied in the field of image repair technology, can solve the problems affecting the robust repair effect, the pixel certainty does not consider the matching error, ignore the similarity principle, etc., to prevent continuous expansion, high robustness, good effect

Inactive Publication Date: 2009-02-04
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has a better repair effect, but there are still some problems: first, in step (b), the color information is simply used to measure the similarity; second, in step (b), the filling order is simply based on the priority level to determine, while ignoring the principle of similarity; third, in step (c), the influence of matching error is not considered in the calculation of pixel confidence
These issues affect the robustness of the method and the final inpainting effect, because it cannot effectively prevent a common problem in the texture synthesis process - the spread of misinformation

Method used

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Embodiment Construction

[0029] First, define some symbols such as figure 1 Shown: the image I to be repaired; the area Ω is the area to be repaired (area to be filled), called the target area, specified by the user, and the shape is not subject to any restrictions; Refers to the edge line of the current unfilled area. As the repair progresses, Constantly changing; Ф is the known part of the image (I-Ω), which is the sampling space filling the Ω area, called the source area; P and Q are on any two points, Ψ p, Ψq are the edge patches (Patches) centered on P and Q respectively, and w is the edge patch window size. Apparently, as the restoration proceeds, the area Ф will continue to expand, while Ω will become smaller, It also changed accordingly.

[0030] Next, some related concepts and methods are introduced:

[0031] 1. Edge patch: such as figure 1 Shown Ψ p , Ψq surface, with a point on the edge as the center, is the unit of known information expansion. The window size of the edge patch,...

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Abstract

The invention relates to an image restoring method which dose automatically restoring course after user enters into the restored area. The automatically restoring course uses the edge side as the unit of primary iteration packing and then iterates the following four steps until packs all the restored area: first step, computing all the precedent degree of the edge; second step, ascertaining the packing edge side of the current iteration by the precedent degree and the similarity degree criterion; third step, adopting line synthesis method and expends the known line and structure information; fourth step, updating the synthetic picture element ascertain value of the current iteration side.

Description

technical field [0001] The invention belongs to the technical fields of computer virtual reality and computer graphics, and in particular relates to an image restoration technology—reconstruction of damaged images and removal of objects on the images. Background technique [0002] In general, image restoration is an art in itself. As early as the renaissance period, the phenomenon of severed heads and short arms had already appeared in ancient sculptures. Therefore, sculptors not only created their own works, but also repaired ancient sculptures. As introduced by G. Emile-Male. "The Restorer's Handbook of Easel Painting" in Document 1. Van Nostrand Reinhold, New York, 1976. Our country is a country rich in cultural relics. In order to permanently protect precious cultural relics resources, we have to reproduce the original appearance of ancient calligraphy and paintings or old photos. Chinese ancient calligraphy and paintings are often printed with collector's seals, or cr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 赵沁平齐越沈旭昆李便茹
Owner BEIHANG UNIV
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