DocumentCode :
1857652
Title :
Improved MAP Based Algorithm for Image Super-resolution Restoration
Author :
Jiwen Cui ; Kunpeng Feng ; Wenlong Yu
Author_Institution :
Center of Ultra-precision Optoelectron. Instrum., Harbin Inst. of Technol., Harbin, China
fYear :
2013
fDate :
26-28 July 2013
Firstpage :
117
Lastpage :
120
Abstract :
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.
Keywords :
image resolution; image restoration; maximum likelihood estimation; MAP based algorithm; POCS; image super-resolution restoration; improved MAP estimation; Estimation; Image reconstruction; Image resolution; Image restoration; Noise; Optimization; Signal resolution; MAP; POCS; super-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICIG.2013.29
Filename :
6643648
Link To Document :
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