An improved method for POCS superresolution image reconstruction

Author

Yi, Zhang ; Quan, Zhou

Author_Institution

Xi´´an Inst. of Space Radio Technol., Xi´´an, China

fYear

2011

fDate

9-11 Sept. 2011

Firstpage

4150

Lastpage

4153

Abstract

Recently superresolution image reconstruction becomes one of the hotspots in the field of image processing. As one of the most popular algorithm in the reconstruction methods POCS (Projection Onto Convex Sets) method can be used for complicated imaging model and make full use of prior information. However, the problem of big calculation quantity of POCS approach exists, and it becomes bigger when the method processes larger and higher magnification ratio images. Based on the analysis of the POCS restoration algorithm, a new method which could reduce the calculation quantity is proposed. The simulation results show that the new method has short runtime and keeps the same reconstruction quality compared with the original algorithm.

Keywords

convex programming; image reconstruction; image resolution; image restoration; set theory; POCS restoration algorithm; magnification ratio images; projection onto convex sets method; superresolution image reconstruction; Algorithm design and analysis; IEEE Computer Society; Image reconstruction; Image registration; Image resolution; Image restoration; PSNR; POCS algorithm; image reconstruction; superresolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Communications and Control (ICECC), 2011 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4577-0320-1

Type

conf

DOI

10.1109/ICECC.2011.6066585

Filename

6066585