Naslov
Dependent Component Analysis for Multi-frame Image Restoration and Enhancement

Autori
Du, Qian ; Kopriva, Ivica

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Signal Processing, 2008. ICSP 2008. 9th International Conference on, / - New York (NY) : Institute of Electrical and Electronics Engineers (IEEE), 2008, 761-764

ISBN
10110920084697241

Skup
9th International Conference on Signal Processing, 2008, ICSP 2008.

Mjesto i datum
Peking, Kina, 26.10.2008. - 29.10.2008

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Image restoration; atmoshperic turbulance; dependent component analysis

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo

POVEZANOST RADA