DocumentCode :
2940325
Title :
Blind Super-Resolution Image Reconstruction Based on POCS Model
Author :
Xie Wei ; Zhang Feiyan ; Chen Hao ; Qin Qianqing
Author_Institution :
Nat. Eng. Res. Center for Multimedia Software, Wuhan Univ., Wuhan, China
Volume :
1
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
437
Lastpage :
440
Abstract :
Due to the high cost and physical limitations of the high precision image sensors, it is not easy to directly obtain the desired high resolution (HR) images from sensors in many cases. A new iterative super-resolution (SR) algorithm based on projection onto convex sets (POCS) model is proposed. In this method, a new algorithm is adopted to estimate subpixel shift of the low-resolution (LR) images and do motion compensation. The main stage of the algorithm employs the iterative method of POCS model, utilizing some new constraint operators. The experiment shows the method is robust and effective. The disadvantage is that the convergence of the algorithm is not very fast.
Keywords :
image reconstruction; image resolution; image sensors; iterative methods; motion compensation; POCS model; blind super-resolution image reconstruction; constraint operator; image sensor; iterative method; motion compensation; projection onto convex set model; subpixel shift estimation; Costs; Image reconstruction; Image resolution; Image sensors; Iterative algorithms; Iterative methods; Motion compensation; Motion estimation; Robustness; Strontium; POCS model; blurred image; iterative algorithm; subpixel estimate; super-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
Type :
conf
DOI :
10.1109/ICMTMA.2009.150
Filename :
5203006
Link To Document :
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