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