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F. Schmidt, Koirala, B., and Andrieu, F., “Determination of volumetric abundance of intimate mixture using Bayesian MCMC”, IEEE Sensors Journal, pp. 1-1, 2024.PDF icon Download paper (2.8 MB)
P. Scheunders and Sijbers, J., “Multiscale watershed segmentation of multivalued images”, in Proc. ICPR02, International Conference on Pattern Recognition, Quebec, Canada, 2002, vol. 3, pp. 855-858.
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, De Clerck, N., and Wille, J., “Computerized image storage and analysis of contracting cardiac myocytes”, Journal of Computer Assisted Microscopy, vol. 6, pp. 77-83, 1994.
P. Scheunders and De Backer, S., “Joint quantization and error-diffusion of color images using competitive learning”, in Proc. IEEE Conference on Image Processing , Santa Barbara, 26-29 october, 1997, pp. 811-814.
P. Scheunders, De Backer, S., and Naud, A., “Non-linear mapping for feature extraction”, Lecture Notes in Computer Science, vol. 1451, pp. 823-830, 1998.
P. Scheunders and Sijbers, J., “Multiscale anisotropic filtering of color images”, in Proceedings of the IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, vol. 3, pp. 170-173.
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, “A genetic approach towards optimal color image quantization”, in Proc. ICIP'96, IEEE Internat. Conference on Image Processing , III, Lausanne, september 16-19, 1996, pp. 1031-1034.
P. Scheunders, “Comparison of clustering algorithms applied to colour image quantization”, Pattern Recognition Letters, vol. 18, pp. 1379-1384, 1997.
P. Scheunders and De Backer, S., “High-dimensional clustering using frequency sensitive competitive learning”, Pattern Recognition, vol. 32, pp. 193-202, 1999.
P. Scheunders, “Local mapping for multispectral image visualisation”, Image and Vision Computing, vol. 19, pp. 971-978, 2001.
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, “Genetic optimal quantization of gray-level and color images”, in Proceedings ACCV'95, Second Asian Conference on Computer Vision, Singapore, 5-8 december, 1995, pp. 94-98.
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, “Joint quantization and error-diffusion of color images using competitive learning”, Journal of the IEE Proceedings, Vision, Image and Signal Processing, vol. 14, pp. 137-140, 1998.
P. Scheunders and De Backer, S., “Multispectral image fusion and merging using multiscale fundamental forms”, in Proc. ICIP01, IEEE International Conference on Image Processing, Thessaloniki, Greece, 2001, pp. 902-905.
P. Scheunders, “A genetic c-means clustering algorithm applied to color image quantization”, Pattern Recognition, vol. 30, pp. 859-866, 1997.
P. Scheunders, “An orthogonal wavelet representation of multivalued images”, IEEE Transactions on Image Processing, vol. 12, pp. 718-725, 2003.
P. Scheunders and De Backer, S., “Fusion and merging of multispectral images using multiscale fundamental forms”, Journal of the Optical Society of America A, vol. 18, pp. 2468-2477, 2001.
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, 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, “Multivalued image segmentation based on first fundamental form”, in Proc. ICIAP, International Conference on Image Analysis and Processing, Palermo, Italy, 2001, pp. 185-190.
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, “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.

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