Improved MAP Based Algorithm for Image Super-resolution Restoration

To enhance high frequency details of image super-resolution restoration, an algorithm based on improved MAP estimation is proposed. In this paper, POCS and MAP are combined in a special way. POCS is used in the MAP estimation so that advantages of the both algorithms can be taken. Experiment shows i...

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Bibliographic Details
Published in2013 Seventh International Conference on Image and Graphics pp. 117 - 120
Main Authors Jiwen Cui, Kunpeng Feng, Wenlong Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2013
Subjects
Estimation
Image reconstruction
Image resolution
Image restoration
Noise
Optimization
POCS
Signal resolution
super-resolution
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DOI10.1109/ICIG.2013.29

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Summary:To enhance high frequency details of image super-resolution restoration, an algorithm based on improved MAP estimation is proposed. In this paper, POCS and MAP are combined in a special way. POCS is used in the MAP estimation so that advantages of the both algorithms can be taken. Experiment shows it is effective by comparing with the results of typical MAP method.
DOI:10.1109/ICIG.2013.29