Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33271
Title: Single image super-resolution using iterative Wiener filter
Authors: Hung, KW
Siu, WC 
Keywords: Iterative Wiener filter
Super-resolution
Issue Date: 2012
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2012, 6288120, p. 1269-1272 How to cite?
Abstract: In this paper, we propose an iterative Wiener filter which can simultaneously perform interpolation and restoration by using non-local means to directly model the correlation between the desired high-resolution image and observed low-resolution image. A novel mechanism is proposed to control the decay speed of the correlation function while iteratively updating both estimated correlation and high-resolution image. During the iterations, the image is decomposed into patches with similar intensities at initial iterations and the patches are connected naturally with good convergence. Experimental results show that the proposed algorithm is able to produce natural image structures, and provides better PSNR and visual quality than the state-of-the-art algorithms using the sparse representation and natural image priors.
Description: 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, 25-30 March 2012
URI: http://hdl.handle.net/10397/33271
ISBN: 9781467300469
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2012.6288120
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

12
Last Week
0
Last month
0
Citations as of Aug 14, 2017

WEB OF SCIENCETM
Citations

5
Last Week
0
Last month
Citations as of Jul 28, 2017

Page view(s)

29
Last Week
4
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.