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Application of Image Inpainting Algorithm in Chinese Painting

Author: WuYuFang
Tutor: ZhuZuoLiang
School: Zhejiang University
Course: Computer Applications
Keywords: Image restoration Chinese painting crease repair Image transplantation Mattes Artifact detection GraphCut Poisson image fusion
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 132
Quote: 4
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Abstract


Chinese painting our traditional Chinese art treasures , made ??a tremendous contribution to the inheritance and development of the Chinese culture in the course of history . It is by Chinese painting old or not properly preserved , as well as transportation , moisture and other factors , such as damage . The analysis and classification of Chinese painting appears damaged , and some of the principles and methods of repair . For Chinese painting crease repair article uses the improved based the sample filled Synthesis repair . By the user to specify the area to be repaired , then the algorithm automatically repair . In order to achieve better results , the article uses image segmentation to guide the search of the best sample blocks , and for the best GraphCut method sutures . After that, we use the Artifact detection further detects the target area , in order to optimize the algorithm . Repair background pollution problems , to use image transplantation method uncontaminated sample area to replace the damaged target area specified by the user . We use the Poisson equation to integrate post - transplantation , the boundaries of the target area , we use the steepest descent method and conjugate gradient combined hybrid algorithm for solving the Poisson equation . We also be detected on the sample block , to be extended when the sample block area smaller than a target block , the sample block . The experiments show that the algorithm we used the repair in Chinese painting the crease and background pollution problems, and satisfactory results on visual .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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