Image completion based on texture regularity and texture synthesis

Status	已發表Published
	Image completion based on texture regularity and texture synthesis
	Hao C.; Yan P.; Wu E.
	2008-12-01
Source Publication	5th International Conference on Information Technology and Applications, ICITA 2008
Pages	53-58
Abstract	An improved method is proposed for completing the missing parts caused by removal of foreground from an image. The research objective is to extract the foreground or background automatically and to fill the missing parts that are left behind in a very visually plausible way. In most former researches, target object is selected by users, which contains little texture information, like an apple, a person and so on. In this paper, we consider a class of target objects containing texture structures, such as a fence. Besides, filling has been addressed by two classes of algorithms in terms of texture synthesis algorithm and inpainting technique. Combining the two approaches, we integrate priority calculation with exemplar-based texture synthesis algorithms to fill in the missing regions. This combination gives each candidate patch a priority according to which synthesis algorithm will execute. Moreover, the simultaneous propagation of texture and structure information is further achieved by this priority algorithm. We demonstrate our method by completion of a variety of examples.
Keyword	Filling Foreground removal Image completion Inpainting Near-regular texture Texture regularity Texture synthesis
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via Scopus
Document Type	Conference paper
Collection	University of Macau
Affiliation	Universidade de Macau
First Author Affilication	University of Macau
Recommended Citation GB/T 7714	Hao C.,Yan P.,Wu E.. Image completion based on texture regularity and texture synthesis[C], 2008, 53-58.
APA	Hao C.., Yan P.., & Wu E. (2008). Image completion based on texture regularity and texture synthesis. 5th International Conference on Information Technology and Applications, ICITA 2008, 53-58.

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