Image inpainting via singular value thresholding

Author

Yeganli, S.F. ; Runyi Yu

Author_Institution

Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Famagusta, Cyprus

fYear

2013

fDate

24-26 April 2013

Firstpage

1

Lastpage

4

Abstract

This paper proposes an inpainting technique based on the singular value thresholding (SVT) algorithm for matrix completion. The SVT algorithm computes the missing elements of a matrix so that the resultant matrix is an approximate of the completion with least rank. It can be implemented by a straightforward iteration procedure which performs singular value decompositions followed by a soft thresholding on the singular values. Experimental results show that the technique can effectively recover texture parts of damaged images.

Keywords

image texture; iterative methods; singular value decomposition; SVT algorithm; damaged image texture parts; image inpainting; inpainting technique; matrix completion; singular value decompositions; singular value thresholding algorithm; soft thresholding; straightforward iteration procedure; Algorithm design and analysis; Approximation algorithms; Classification algorithms; Coherence; Image processing; Matrix decomposition; Optimization; Image inpainting; matrix completion; norm minimization; singular value thresholding;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2013 21st

Conference_Location

Haspolat

Print_ISBN

978-1-4673-5562-9

Electronic_ISBN

978-1-4673-5561-2

Type

conf

DOI

10.1109/SIU.2013.6531291

Filename

6531291