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Proceedings Paper

Cloud denoising
Author(s): Salvador Gabarda; Gabriel Cristobal; Lorenzo Galleani; Leon Cohen
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Paper Abstract

We address the issue of cloud removal from images. Typically a cloud on an image is not uniform and we develop methods that do denoising on a local level. In this paper we present preliminary studies of such methods and also a method for image fusion. The procedure is based on the use of a denoising pixel-level measure. The measure is defined through a 1-D Pseudo Wigner Distribution (PWD) applied to non-overlapping N-pixel window slices of the original image. The method is illustrated with different set of artificial and natural cloudy or foggy images, which are partially occluded by clouds in different regions. Another advantage of the present approach is its reduced computational cost in comparison with other methods based on a full 2-D implementation of the PWD.

Paper Details

Date Published: 25 May 2004
PDF: 5 pages
Proc. SPIE 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II, (25 May 2004); doi: 10.1117/12.547635
Show Author Affiliations
Salvador Gabarda, Consejo Superior de Investigaciones Cientificas (Spain)
Gabriel Cristobal, Consejo Superior de Investigaciones Cientificas (Spain)
Lorenzo Galleani, Hunter College/CUNY (United States)
Leon Cohen, Hunter College/CUNY (United States)


Published in SPIE Proceedings Vol. 5467:
Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II
Derek Abbott; Sergey M. Bezrukov; Andras Der; Angel Sanchez, Editor(s)

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