Multiscale edge representation applied to image fusion

Paul Scheunders

doi:10.1117/12.408573

4 December 2000 Multiscale edge representation applied to image fusion

Paul Scheunders

Proceedings Volume 4119, Wavelet Applications in Signal and Image Processing VIII; (2000) https://doi.org/10.1117/12.408573
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

In this paper the fusion of multimodal images into one greylevel image is aimed at. A multiresolution technique, based on the wavelet multiscale edge representation is applied. The fusion consists of retaining only the modulus maxima of the wavelet coefficients from the different bands and combining them. After reconstruction, a synthetic image is obtained that contains the edge information from all bands simultaneously. Noise reduction is applied by removing the noise-related modulus maxima. In several experiments on test images and multispectral satellite images, we demonstrate that the proposed technique outperforms mapping techniques, as PCA and SOM and other wavelet-based fusion techniques.

Citation Download Citation

Paul Scheunders "Multiscale edge representation applied to image fusion", Proc. SPIE 4119, Wavelet Applications in Signal and Image Processing VIII, (4 December 2000); https://doi.org/10.1117/12.408573

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