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Compressed Video Super-Resolution Reconstruction Based on Bayesian Theory(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2005年03期
Page:
36-40
Research Field:
Publishing date:

Info

Title:
Compressed Video Super-Resolution Reconstruction Based on Bayesian Theory
Author(s):
ZHOU Liang1;  ZHOU Fang2
1.Ministry Key Lab of IC and IP, Nanjing University of Posts and Communications, Jiangsu Nanjing 210003, China; 2. School of Electronic and Information, Anhui University of Technology, Anhui Maanshan 243002, China
Keywords:
super-reso lution;  com pressed v ideo;  im age reconstruction;  Bayesian estim ation
PACS:
TP391.41;
DOI:
-
Abstract:
In th is paper, a new a lgo rithm of compressed v ideo super- reso lu tion resto ra tion based on Bayesian esti m ation is propo sed to reso lve the problem o f the traditiona l resto ra tion me thods wh ich cannot be we ll applied to the com pressed v ideo. A t first, an acqu isition o f the com pressed v ideo model is proposed, then the super-reso lution prob lem is form ulated w ith in the Bayes ian fram ew ork and theMAP criter ion, and fina lly, a universa l so lu tion o f the prob lem is presented by integrating the CCD w ith SA. The results of the experim ent dem onstrate that the a lgo rithm not on ly perform s better than the trad itiona l ones in term s of PSNR and restoration effect, but also has the charac teristics o f easy ex tension.

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Last Update: 2013-04-29