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P. Scheunders, An orthogonal wavelet representation of multivalued images, in Proc. ACIVS02, Andvanced Concepts for intelligent vision systems, Ghent, 2002.
P. Scheunders, Wavelet-based enhancement and denoising using multiscale structure tensor, in Proceedings of the IEEE International Conference on Image Processing, Rochester NY, 2002, pp. 569-572.
P. Scheunders, Wavelet thresholding of multispectral images, in Proc. ACIVS03, Andvanced Concepts for intelligent vision systems , Ghent, 2003, pp. 255-259.
P. Scheunders, Denoising of multispectral images using wavelet thresholding, in Proc. SPIE conference on Image and Signal Processing for Remote Sensing IX, part of the International Symposium on Remote Sensing, Barcelona, Spain, 2003, pp. 28-35.
P. Scheunders, Wavelet representations of multivalued images, in Wavelet Applications in Industrial Processing, part of the International Symposium on Photonics Technologies for Robotics, Automation, and Manufacturing , 27-31 October 2003, Providence, RI USA, 2003, pp. 203-215.
P. Scheunders and Driesen, J., Least squares interband denoising of color and multispectral images, in Proc. ICIP2004, IEEE International Conference on Image Processing, 24-27 october, Singapore, 2004, pp. 985-988.
P. Scheunders and De Backer, S., Wavelet-based enhancement of remote sensing and biomedical image series using an auxiliary image, in SPIE Optics East, 23-26 October, Boston, Massachusetts USA, 2005, vol. 6001, pp. 41-52.
P. Scheunders and De Backer, S., Wavelet Denoising of multicomponent images using a Gaussian Scale Mixture model, in ICPR’06, International Conference on Pattern Recognition, Hong Kong, august 20-24, 2006, vol. 3, pp. 754-757.
P. Scheunders and De Backer, S., Wavelet Denoising of multicomponent images using a noise-free image, in ICIP’06, IEEE International Conference on Image Processing, Atlanta, Georgia, October 8-11, 2006, pp. 2619-2622.
P. Scheunders, De Backer, S., Pizurica, A., Huysmans, B., and Philips, W., Bayesian Wavelet-based Denoising of Multicomponent Images, in Proceedings Wavelet Applications in Industrial Processing V, part of SPIE Optics East, Boston, MA, 9-12 september, Vol. 6763-OK (12 pages), 2007.
P. Scheunders, Bayesian techniques for multi/hyperspectral image processing, in 4th IEEE Conference on Industrial Electronics and Applications, Xi’an, China, May 25-27, 2009, pp. 1-10.
P. Scheunders, A wavelet representation of multispectral images; in: Frontiers of Remote Sensing Information Processing, C. H. Chen, Ed. World Scientific, 2003, pp. 197-224.
P. Scheunders, Duijster, A., and Zhang, Y., Wavelet-based Multi/Hyperspectral Image Restoration and Fusion, in Signal and Image Processing for Remote Sensing, C. H. Chen, Ed. Taylor and Francis, 2012, pp. 505-523.
P. Scheunders, Tuia, D., and Moser, G., Contributions of Machine Learning to Remote Sensing Data Analysis, in Comprehensive Remote Sensing, vol. 2, 2018, pp. 199-243.

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