DocumentCode :
1653857
Title :
Dependent component analysis for multi-frame image restoration and enhancement
Author :
Du, Qian ; Kopriva, Ivica
Author_Institution :
Dept. of Electr. & Comput. Eng., Mississippi State Univ., Starkville, MS
fYear :
2008
Firstpage :
761
Lastpage :
764
Abstract :
Independent component analysis (ICA) has been applied to the restoration of image sequences degraded by atmospheric turbulence. The original high-resolution image and turbulent sources were considered as independent sources from which the degraded image is composed of. Although the result was promising, the assumption of source independence may not be true in practice. In this paper, we propose to apply dependent component analysis (DCA), which can relax the independence assumption. The experimental result demonstrates DCA outperforms ICA under this circumstance, resulting in the flexibility in the use of adjacent image frames. In addition, the restored image can be further enhanced by employing a recently developed Gabor-filter-bank-based single-frame blind image deconvolution algorithm where DCA is also employed.
Keywords :
Gabor filters; image enhancement; image restoration; statistical analysis; Gabor-filter-bank-based single-frame blind image deconvolution algorithm; dependent component analysis; image enhancement; multiframe image restoration; Atom lasers; Atomic beams; Degradation; Image analysis; Image restoration; Image sequences; Independent component analysis; Research and development; Stacking; Technological innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
Type :
conf
DOI :
10.1109/ICOSP.2008.4697241
Filename :
4697241
Link To Document :
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