DocumentCode
396855
Title
Turbo image restoration
Author
Sun, Hang ; Maitre, Henn ; Guan, Bao
Author_Institution
Sch. of Electron. Inf., Wuhan Univ., China
Volume
1
fYear
2003
fDate
1-4 July 2003
Firstpage
417
Abstract
A new iterative processing for image restoration is proposed based on the turbo iterative principle. For this purpose, two uncorrelated component images issued from an original image are differently filtered and the pieces of information extracted from both filters are mutually exchanged in the iterative process. This scheme has achieved much better performances and reduced computational cost in restoring images with both additive and multiplicative (such as in SAR radar images) noise model.
Keywords
filtering theory; image restoration; iterative decoding; turbo codes; additive noise; filtering; information extraction; iterative processing; multiplicative noise; turbo image restoration; uncorrelated component image; Additive noise; Image restoration; Information filtering; Information filters; Iterative algorithms; Iterative methods; Signal processing; Signal to noise ratio; Synthetic aperture radar; Turbo codes;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN
0-7803-7946-2
Type
conf
DOI
10.1109/ISSPA.2003.1224729
Filename
1224729
Link To Document