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Proceedings Paper

Wavelet-based enhancement of remote sensing and biomedical image series using an auxiliary image
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Paper Abstract

In this paper, a wavelet-based enhancement method for multicomponent images or image series is proposed. The method applies Bayesian estimation, including the use of a high-resolution noise-free grey scale image as prior information. The resulting estimator statistically exploits the correlation between the image series and the high-resolution noise-free image to enhance (i.e. to improve the signal to noise ratio and the spatial resolution) of the image series. To validate and demonstrate the procedure, results are shown on a color image. The idea of using an auxiliary image can be applied in many different domains. As an example, experiments are conducted in two different application domains: resolution enhancement of multispectral remote sensing images and improvement of brain activity measurements on functional MRI image time series.

Paper Details

Date Published: 1 November 2005
PDF: 12 pages
Proc. SPIE 6001, Wavelet Applications in Industrial Processing III, 600105 (1 November 2005); doi: 10.1117/12.630612
Show Author Affiliations
P. Scheunders, Univ. of Antwerp (Belgium)
S. De Backer, Univ. of Antwerp (Belgium)

Published in SPIE Proceedings Vol. 6001:
Wavelet Applications in Industrial Processing III
Frederic Truchetet; Olivier Laligant, Editor(s)

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