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