DocumentCode :
1739565
Title :
The fixed-phase iterative algorithm recovery of blurred image
Author :
Feng, ZhuRen ; Hui, Zhou
Author_Institution :
Inst. of Command & Technol., Acad. Sinica, Huairou, China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
898
Abstract :
Based on the theory of signal reconstruction, this paper puts forward a valid method of recovery of the blurred image-the fixed-phase iterative algorithm recovery. By analyzing the mathematical description and property of the blurred image, the phase spectrum of the astigmatism system is a zero-phase-spectrum. Consequently, relying on the phase-only reconstruction principle, the blurred image can be reconstructed and recovered by an iterative algorithm. This paper focuses on the three steps of the iterative algorithm and some details on how to process data in every step. Finally, two conclusions are drawn after the realization of the method
Keywords :
image reconstruction; iterative methods; spectral analysis; astigmatism system; blurred image reconstruction; blurred image recovery; fixed-phase iterative algorithm recovery; phase spectrum; phase-only reconstruction; signal reconstruction; zero-phase-spectrum; Algorithm design and analysis; Digital images; Image analysis; Image generation; Image reconstruction; Image sequences; Iterative algorithms; Noise generators; Signal analysis; Vision defects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
Type :
conf
DOI :
10.1109/ICOSP.2000.891662
Filename :
891662
Link To Document :
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