Naslov
Image Sharpening Using Image Sequence and Independent Component Analysis

Autori
Kopriva, Ivica ; Du, Qian ; Szu, Harold ;

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

Izvornik
SPIE Defense and Security Symposium, Independent Component Analysis, Wavelets and Neural Networks, / - Bellingham (WA) : International Society for Optical Engineering, 2004, 63-73

Skup
SPIE Defense and Security Symposium

Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 12.04.2004. - 16.04.2004

Vrsta sudjelovanja
Pozvano predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image sharpening; image sequence; independent component analysis.

Sažetak
The novel approach to the image sharpening problem is proposed in this paper. It is based on the application of the independent component analysis (ICA) algorithm on the image sequence with the appropriate time displacement between the image frames. The novelty is in the data representation required by the ICA algorithms where each selected image frame has been used as a sensor implying that underlying sources are temporally independent. The proposed concept enables blurring effects contributed by atmospheric turbulence to be extracted as separate physical sources. It has been ensured through images registration technique that motion of the video recorder is compensated. Encouraging preliminary results were obtained when ICA algorithm has been applied on the experimental data (video sequence) with the known ground truth. It has been verified that extracted spatial turbulence patterns are highly impulsive with Gaussian exponent between 0.5 and 0.6 where Laplacian distribution is characterized with Gaussian exponent 1.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA