Browse this collection by:
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R. L. Claypoole, G. Davis, W. Sweldens and R. G. Baraniuk,"Adaptive Wavelet Transforms for Image Coding," in Asilomar Conference on Signals, Systems, and Computers,
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H. Choi, B. Hendricks and R. G. Baraniuk,"Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Trees," in Asilomar Conference on Signals, Systems, and Computers,, pp. 1287-1291.
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J. Romberg, H. Choi and R. G. Baraniuk,"Bayesian Tree-Structured Image Modeling using Wavelet-domain Hidden Markov Models," in SPIE Conference on Mathematical Modeling, Bayesian Estimation, and Inverse Problem,
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J. Romberg, H. Choi and R. G. Baraniuk,"Bayesian Wavelet Domain Image Modeling using Hidden Markov Trees," in IEEE International Conference on Image Processing,, pp. 158-162.
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J. E. Odegard and C. S. Burrus,"Discrete finite variation: A new measure of smoothness for the design of wavelet basis," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
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D. Wei, "Image Data Compression," Masters Thesis, 1995.
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H. Choi and R. G. Baraniuk,"Multiple Basis Wavelet Denoising using Besov Projections," in IEEE International Conference on Image Processing,, pp. 595-599.
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H. Choi and R. G. Baraniuk, "Multiple wavelet basis image denoising using Besov ball projections," IEEE Signal Processing Letters, vol. 11, no. 9, pp. 717-720, 2004.
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R. Willett and R. D. Nowak,"Multiresolution Nonparametric Intensity and Density Estimation," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
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Y. Wan and R. D. Nowak, "A Multiscale Bayesian Framework for Linear Inverse Problems and Its Application to Image Restoration," IEEE Transactions on Image Processing, 2001.
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V. Venkatachalam, H. Choi and R. G. Baraniuk,"Multiscale SAR Image Segmentation using Wavelet-domain Hidden Markov Tree Models," in SPIE Symp. on Aerospace/Defense Sensing, Simulation, and Controls,
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F. Fernandes, M. Wakin and R. G. Baraniuk,"Non-Redundant, Linear-Phase, Semi-Orthogonal, Directional Complex Wavelets," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),, pp. 953-956.
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J. E. Odegard and C. S. Burrus,"Smooth biorthogonal wavelets for applications in image compression," in IEEE DSP Workshop,
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C. Scott and R. D. Nowak,"Template Learning from Atomic Representations: A Wavelet-Based Approach to Pattern Analysis," in None,
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R. A. Gopinath, M. Lang, H. Guo and J. E. Odegard, "Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images," Rice University CML Technical Report, 1994.
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Y. Wan and R. D. Nowak,"A Wavelet-Based Statistical Model for Image Restoration," in IEEE International Conference on Image Processing,