DocumentCode :
3015775
Title :
A Simulation-Correction Iteration Image Reconstruct Algorithm Based on Residual High-Frequency Boost
Author :
Qun-fei, Mu ; Chuang-Bai, Xiao ; Qiao-chu, Sun ; Ben, Guo
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
fYear :
2009
fDate :
8-9 Dec. 2009
Firstpage :
95
Lastpage :
99
Abstract :
This paper, residual high-frequency boost method is imported into the iteration process of the simulation-correction iteration image reconstruction algorithm, and produces more high-frequency details information for the algorithm, which improves the algorithm´s performance. We use Matlab to implement the algorithm and the results indicate that importing the residual high-frequency boost into the image reconstruct algorithm can highly improve the performance.
Keywords :
image reconstruction; iterative methods; mathematics computing; Matlab; residual high-frequency boost; simulation-correction iteration image reconstruction algorithm; Biomedical optical imaging; Frequency; Image reconstruction; Image resolution; Image sampling; Mathematical model; Optical distortion; Optical noise; Signal resolution; Space technology; POCS; high frequency boost; image reconstruction; residual; super-resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Interaction and Affective Computing, 2009. ASIA '09. International Asia Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3910-2
Electronic_ISBN :
978-1-4244-5406-8
Type :
conf
DOI :
10.1109/ASIA.2009.13
Filename :
5376059
Link To Document :
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