Naslov
Pre-processing for image sequence visualization robust to illumination variations

Autori
Kuzmanić, Ivica ; Beroš, Slobodan Marko ; Šoda, Joško ; Vujović, Igor

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Design and analysis of materials and engineering structures

Urednik/ci
Öchsner, Andreas ; Silva, Lucas F. M. ; Altenbach, Holm

Izdavač
Springer

Grad
New York (NY)

Godina
2013

Raspon stranica
37-62

ISBN
978-3-642-32294-5

Ključne riječi
Illumination variation, wavelet transform, super-resolution, parseval relation, energy

Sažetak
Several images (a sequence) may be used to obtain better image quality. This method is perfect for super-resolution algorithms, which improve sub-pixel clarity of the image and allow a more detailed view. It is possible that illumination variations, e.g. those caused by a light source, lessen the benefits of super-resolution algorithms. The reduction of the quantity of such occurrences by stabilizing variations is important. An enhanced stabilization algorithm is proposed for purposes of reduction of variations in illumination. It is based on the energy contained in wavelet coefficients. In the proposed algorithm, energy plays a role of the memory buffer in memory-based techniques of illumination variation reduction. The benefits of the proposed image stabilization are the higher quality of images and better visualization. Possible applications are in surveillance, product quality control, engine monitoring, corrosion monitoring, micro/nano microscopy, etc.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

Napomena
Online ISBN 978-3-642-32295-2 DOI 10.1007/978-3-642-32295-2_4

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