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A Method for Restoring Trademark and Caption Areas using Isophote Information  

김종배 (경북대학교 컴퓨터공학과)
정수웅 (경북대학교 컴퓨터공학과)
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Abstract
In this paper, we propose a method for restoring trademark and caption areas using an isophote. In our method, the image restoration problem is modeled as an optimization problem, which in our case, is solved by a cost function with isophote constraint that is minimized using a GA The technique creates an optimal connection of all pairs of isophotes disconnected by a caption in the frame. For connecting the disconnected isophotes, we estimate the value of the smoothness, given by the best chromosomes of the GA and project this value in the isophote direction. Experimental results show that the isophote operator worked better than Laplacian operator for image restoration, and the proposed method has a great possibility for automatic restoration of a region in an advertisement scene.
Keywords
영상 복원;등광도선;정칙화 연산자;
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Times Cited By KSCI : 5  (Citation Analysis)
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