Publications

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Filters: Keyword is wavelet transforms  [Clear All Filters]
2011
Wong, A., and A. Mishra, "Quasi-Monte Carlo estimation approach for denoising MRI data based on regional statistics", IEEE Transactions on Biomedical Engineering, vol. 58, 1076 - 1083, 2011.
Wong, A., and A. Mishra, "Quasi-Monte Carlo estimation approach for denoising MRI data based on regional statistics", IEEE Transactions on Biomedical Engineering, vol. 58, 1076 - 1083, 2011. PDF icon quasi-monte_carlo_estimation_approach_for_denoising_mri_data_based_on_regional_statistics.pdf (1.26 MB)
2009
Zaboli, S., and D. A. Clausi, "Video pause detection using wavelets", 6th Canadian Conference on Computer and Robot Vision, Kelowna, British Columbia, Canada, 05/2009. PDF icon video_pause_detection_using_wavelets.pdf (1.9 MB)
2008
Wong, A., D. A. Clausi, and P. Fieguth, "Automatic registration of inter-band and inter-sensor images using robust complex wavelet feature representations", 5th Workshop on Pattern Recognition for Remote Sensing, Tampa, Florida, USA, 12/2008. PDF icon automatic_registration_of_inter-band_and_inter-sensor_images_using_robust_complex_wavelet_feature_representations.pdf (324.49 KB)
Amiri, M., Z. Azimifar, and P. Fieguth, "Correlated non-linear wavelet shrinkage", 15th IEEE International Conference on Image Processing, 2008, 2008. PDF icon correlated_non-linear_wavelet_shrinkage.pdf (581.25 KB)
Wong, A., D. A. Clausi, and P. Fieguth, "A perceptually adaptive approach to image denoising using anisotropic non-local means", 15th IEEE International Conference on Image Processing, San Diego, California, USA, 10/2008. PDF icon a_perceptually_adaptive_approach_to_image_denoising_using_anisotropic_non-local_means.pdf (682.69 KB)
2006
N Kachouie, N., and P. Fieguth, "A combined Bayesshrink wavelet-ridgelet technique for image denoising", 2006 IEEE International Conference on Multimedia and Expo, 2006.
2005
Azimifar, Z., P. Fieguth, and E. Jernigan, "Correlated wavelet shrinkage: models of local random fields across multiple resolutions", International Conference on Image Analysis and Recognition, 2005. PDF icon correlated_wavelet_shrinkage_models_of_local_random_fields_across_multiple_resolutions.pdf (897.83 KB)
N Kachouie, N., and P. Fieguth, "A Gabor based technique for image denoising", 18th Canadian Conference on Electrical and Computer Engineering, Saskatoon, 2005. PDF icon a_gabor_based_technique_for_image_denoising.pdf (528.76 KB)
2003
Jin, F., P. Fieguth, L. Winger, and E. Jernigan, "Adaptive Wiener filtering of noisy images and image sequences", IEEE International Conference on Image Processing, Spain, 2003. PDF icon adaptive_wiener_filtering_of_noisy_images_and_image_sequences.pdf (415.86 KB)
Azimifar, Z., P. Fieguth, and E. Jernigan, "Hierarchical Markov models for wavelet-domain statistics", 2003 IEEE Workshop on Statistical Signal Processing, 2003. PDF icon hierarchical_markov_models_for_wavelet_domain_statistics.pdf (282.34 KB)
2002
Mehta, V. K., C. M. Hammock, P. Fieguth, and H. Krim, "Data fusion of SSM/I channels using multiresolution wavelet transform", IEEE International Geoscience And Remote Sensing Symposium, 2002. PDF icon data_fusion_of_ssm_i_channels_using_multiresolution_wavelet_transform.pdf (159.54 KB)
Azimifar, Z., P. Fieguth, and E. Jernigan, "Towards random field modeling of wavelet statistics", International Conference on Image Processing, Rochester, NY, 2002. PDF icon towards_random_field_modeling_of_wavelet_statistics.pdf (250.24 KB)
2001
Azimifar, Z., P. Fieguth, and E. Jernigan, "Modeling the correlation structure of images in the wavelet domain", 14th Canadian Conference on Electrical and Computer Engineering, Toronto, 2001. PDF icon modeling_the_correlation_structure_of_images_in_the_wavelet_domain.pdf (428.21 KB)
Azimifar, Z., P. Fieguth, and E. Jernigan, "Wavelet shrinkage with correlated wavelet coefficients", International Conference on Image Processing, Greece, 2001. PDF icon wavelet_shrinkage_with_correlated_wavelet_coefficients.pdf (384.61 KB)
2000
Fieguth, P., and R. Wan, "Fast retrieval methods for images with significant variations", International Conference on Image Processing, 2000. PDF icon fast_retrieval_methods_for_images_with_significant_variations.pdf (317.38 KB)