• 한국컴퓨터정보학회논문지
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• 제9권2호
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• pp.27-32
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• 2004

하나의 객체 내에 존재하는 영역들이 상이한 칼라의 집합으로 구성되어 있다면, 해당 객체는 독립적인 영역들로 분할되기 때문에 객체의 의미가 상실된다. 따라서 영역에 대한 칼라 정보 외에 다른 지식 정보를 선택적으로 적용할 수 있는 방법이 요구된다. 본 논문에서는 영상을 구성하는 색상 정보 외에 입체감을 표현하기 위한 방법으로 명암의 등가를 연결한 등조선의 형태분석을 이용하고 있다. 그리고 분석된 정보를 통해 영역간의 독립, 종속 여부를 판단하여 객체의 의미 있는 영역 정합을 통한 객체 분리의 방법을 제시하고 있다.

• Journal of Information Processing Systems
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• 제13권5호
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• pp.1183-1202
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• 2017

Image restoration has been carried out by texture synthesis mostly for large regions and inpainting algorithms for small cracks in images. In this paper, we propose a new approach that allows for the simultaneous fill-in of different structures and textures by processing in a wavelet domain. A combination of structure inpainting and patch-based texture synthesis is carried out, which is known as patch-based inpainting, for filling and updating the target region. The wavelet transform is used for its very good multiresolution capabilities. The proposed algorithm uses the wavelet domain subbands to resolve the structure and texture components in smooth approximation and high frequency structural details. The subbands are processed separately by the prioritized patch-based inpainting with isophote energy driven texture synthesis at the core. The algorithm automatically estimates the wavelet coefficients of the target regions of various subbands using optimized patches from the surrounding DWT coefficients. The suggested performance improvement drastically improves execution speed over the existing algorithm. The proposed patch optimization strategy improves the quality of the fill. The fill-in is done with higher priority to structures and isophotes arriving at target boundaries. The effectiveness of the algorithm is demonstrated with natural and textured images with varying textural complexions.