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

P. Scheunders; S. De Backer

doi:10.1117/12.630612

1 November 2005 Wavelet-based enhancement of remote sensing and biomedical image series using an auxiliary image

P. Scheunders, S. De Backer

Proceedings Volume 6001, Wavelet Applications in Industrial Processing III; 600105 (2005) https://doi.org/10.1117/12.630612
Event: Optics East 2005, 2005, Boston, MA, United States

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.

Citation Download Citation

P. Scheunders and S. De Backer "Wavelet-based enhancement of remote sensing and biomedical image series using an auxiliary image", Proc. SPIE 6001, Wavelet Applications in Industrial Processing III, 600105 (1 November 2005); https://doi.org/10.1117/12.630612

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