Total variation regularized iterative back-projection method for single frame image super resolution

Iterative back-projection (IBP) technique is commonly used to minimize the super resolution (SR) reconstruction error and acquire a high spatial resolution image with appealing visual effect. However, the IBP based SR method suffers from the chessboard and ringing effect around edges. In this paper,...

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Bibliographic Details
Published in2012 IEEE 11th International Conference on Signal Processing Vol. 2; pp. 931 - 934
Main Authors Rui Lai, Yin-tang Yang, Hui-xin Zhou, Han-lin Qin, Bing-jian Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Image super resolution
iterative back-projection
total variation
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Summary:Iterative back-projection (IBP) technique is commonly used to minimize the super resolution (SR) reconstruction error and acquire a high spatial resolution image with appealing visual effect. However, the IBP based SR method suffers from the chessboard and ringing effect around edges. In this paper, we employ total variation (TV) as a part of penalty function to minimize the reconstruction error, which helps to avoid across-edge smoothing and suppress the above-mentioned artifacts simultaneously. The experimental results validate that the proposed algorithm can promote the SR reconstruction precision considerably.
ISBN:9781467321969
1467321966
ISSN:2164-5221
DOI:10.1109/ICoSP.2012.6491732