SPHERICAL IMAGE DENOISING AND ITS APPLICATION TO OMNIDIRECTIONAL IMAGING

Stéphanie Bigot, Djemaa Kachi, Sylvain Durand, El Mustapha Mouaddib

Abstract

This paper addresses the problem of spherical image processing. Thanks to projective geometry, the omnidirectional image can be presented as a function on sphere S2 . The target application includes omnidirectional image smoothing. We describe a new method of smoothing for spherical images. For that purpose, we introduce a suitable Wiener filter and we use the Tikhonov method to these images. In order to compare their performances, we present the most used classical spherical kernels. We present several examples for filtering real and synthetical spherical images.

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Paper Citation


in Harvard Style

Bigot S., Kachi D., Durand S. and Mustapha Mouaddib E. (2007). SPHERICAL IMAGE DENOISING AND ITS APPLICATION TO OMNIDIRECTIONAL IMAGING . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 101-108. DOI: 10.5220/0002052301010108


in Bibtex Style

@conference{visapp07,
author={Stéphanie Bigot and Djemaa Kachi and Sylvain Durand and El Mustapha Mouaddib},
title={SPHERICAL IMAGE DENOISING AND ITS APPLICATION TO OMNIDIRECTIONAL IMAGING},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2007},
pages={101-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002052301010108},
isbn={978-972-8865-73-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - SPHERICAL IMAGE DENOISING AND ITS APPLICATION TO OMNIDIRECTIONAL IMAGING
SN - 978-972-8865-73-3
AU - Bigot S.
AU - Kachi D.
AU - Durand S.
AU - Mustapha Mouaddib E.
PY - 2007
SP - 101
EP - 108
DO - 10.5220/0002052301010108