Cloud denoising

Salvador Gabarda; Gabriel Cristobal; Lorenzo Galleani; Leon Cohen

doi:10.1117/12.547635

25 May 2004 Cloud denoising

Salvador Gabarda, Gabriel Cristobal, Lorenzo Galleani, Leon Cohen

Proceedings Volume 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II; (2004) https://doi.org/10.1117/12.547635
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain

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.

Citation Download Citation

Salvador Gabarda, Gabriel Cristobal, Lorenzo Galleani, and Leon Cohen "Cloud denoising", Proc. SPIE 5467, Fluctuations and Noise in Biological, Biophysical, and Biomedical Systems II, (25 May 2004); https://doi.org/10.1117/12.547635

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