Fast wavelet-based pansharpening of multi-spectral images

Mitianoudis, N., Tzimiropoulos, Georgios and Stathai, T. (2010) Fast wavelet-based pansharpening of multi-spectral images. In: IEEE International Conference on Imaging Systems and Techniques, 1 -2 July 2010, Thessaloniki.

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Remote Sensing systems enhance the spatial quality of low-resolution Multi-Spectral (MS) images using information from Pan-chromatic (PAN) images under the pansharening framework. Most decimated multi-resolution pansharpening approaches upsample the low-resolution MS image to match the resolution of the PAN image. Consequently, a multi-level wavelet decomposition is performed, where the edge information from the PAN image is injected in the MS image. In this paper, the authors propose a pansharpening framework that eliminates the need of upsampling of the MS image, using a B-Spline biorthogonal wavelet decomposition scheme. The proposed method features similar performance t the state-of-the-art pansharpening methods without the extra computational cost induced by upsampling. © 2010 IEEE.

Additional Information:Conference Code: 81783
Keywords:B-spline, Computational costs, Edge information, Multi-level wavelet decomposition, Multi-resolutions, Multi-spectral, Multispectral images, Pan-sharpening, Remote sensing system, Spatial quality, Upsampling, Imaging systems, Remote sensing, Splines, Wavelet decomposition
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:8735
Deposited On:01 Aug 2013 09:49

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