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A Novel Inpainting Algorithm based on Sparse Representation

by C. Ramya, S. Subha Rani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 6
Year of Publication: 2013
Authors: C. Ramya, S. Subha Rani
10.5120/12891-9930

C. Ramya, S. Subha Rani . A Novel Inpainting Algorithm based on Sparse Representation. International Journal of Computer Applications. 74, 6 ( July 2013), 31-37. DOI=10.5120/12891-9930

@article{ 10.5120/12891-9930,
author = { C. Ramya, S. Subha Rani },
title = { A Novel Inpainting Algorithm based on Sparse Representation },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 6 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 31-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number6/12891-9930/ },
doi = { 10.5120/12891-9930 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:41:33.096674+05:30
%A C. Ramya
%A S. Subha Rani
%T A Novel Inpainting Algorithm based on Sparse Representation
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 6
%P 31-37
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recent studies in sparse representations show a variety of applications in the field of image processing. Such as in image denoising, inpainting, compression and more. But always the size of the dictionary has a trade off between the approximation speed and accuracy. In this paper, a moving k-means based dictionary pruning algorithm is applied to the patches of the dictionary to discover an optimum number of dictionary elements for a given data set. This optimized dictionary size feature, will improve the convergence speed of the decomposition algorithm without compromising its approximation accuracy. It also increases the performance of the decomposition algorithm. Simulation results show that the proposed optimized dictionary selection with KSVD (K-means singular value decomposition) yield better image inpainting than traditional KSVD.

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Index Terms

Computer Science
Information Sciences

Keywords

Image restoration image inpainting OMP KSVD

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