NDLI: A Hardware-Accelerated Patch Search Engine for Image Completion

Content Provider	IEEE Xplore Digital Library
Author	Yi Lin
Copyright Year	2006
Description	Author affiliation: Univ. of Waterloo, Waterloo (Yi Lin)
Abstract	This paper proposes a GPU-accelerated patch search engine that efficiently Alls the unknown regions of an image caused by replacement or removal of part of the foreground. Previous approaches, such as inpainting and texture synthesis, are either fast, but not applicable for small-scale regions, or slow, but fills large regions with good quality. The algorithm in this paper is based on the patch-based best-fit searching strategy, in which a partly-known patch is filled by searching the known part of the image for a patch of pixels closely matching the known neighbors. This keeps the linear structure and texture of the image. Each patch is represented as a stream and processed in parallel in the GPU. We found that the exhaustive searching strategies used in previous work are the main cause of inefficiency; most matches are located in the neighborhood of the target patch. Inspired by this spatial continuity, we develop a very efficient search engine compared with previous work.
Starting Page	3949
Ending Page	3954
File Size	2876970
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.384749
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Search engines Image restoration Pixel Diffusion processes Convergence Computer graphics Partial differential equations Cybernetics Streaming media Filling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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