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Suryawanshi, Shital D.
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Computer Science & IT Education Electrical & Electronics Engineering Energy Materials Science & Nanotechnology

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IMAGE INPAINT USING PATCH SPARSITY Suryawanshi, Shital D.; Baviskar, P. V.
APTIKOM Journal on Computer Science and Information Technologies Vol 1 No 3 (2016): APTIKOM Journal on Computer Science and Information Technologies (CSIT)
Publisher : APTIKOM Publisher

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Abstract

The process of removing the specific object or area or repairing the damaged area in an image is known as image inpainting. This algorithm [5] is proposed for removing objects from digital image. The challenge is to fill in the hole that is left behind in a visually plausible way. We first note that patch sparsity based synthesis contains the essential process required to replicate both texture and structure [8]; the success of structure propagation however is highly dependent on the order in which the filling proceeds. We propose a best algorithm in which the confidence in the synthesized pixel values is propagated in a manner similar to the propagation of information in inpainting.The actual color values are computed using patch sparsity based synthesis. In this paper the simultaneous propagation of texture and structure information [2] is achieved by a single, efficient algorithm. For best results selected image should have sufficient background information
Co-Authors Baviskar, P. V.