Title :
Turbo image restoration
Author :
Sun, Hang ; Maitre, Henn ; Guan, Bao
Author_Institution :
Sch. of Electron. Inf., Wuhan Univ., China
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;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224729
