Multivariate statistical modeling for image denoising using wavelet transforms
- 1 January 2005
- journal article
- Published by Elsevier BV in Signal Processing: Image Communication
- Vol. 20 (1), 77-89
- https://doi.org/10.1016/j.image.2004.10.003
Abstract
No abstract availableKeywords
This publication has 15 references indexed in Scilit:
- Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependencyIEEE Transactions on Signal Processing, 2002
- Adaptive wavelet thresholding for image denoising and compressionIEEE Transactions on Image Processing, 2000
- Spatially adaptive wavelet thresholding with context modeling for image denoisingIEEE Transactions on Image Processing, 2000
- Image processing with complex waveletsPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1999
- Bayesian approaches to Gaussian mixture modelingIeee Transactions On Pattern Analysis and Machine Intelligence, 1998
- Wavelet-based statistical signal processing using hidden Markov modelsIEEE Transactions on Signal Processing, 1998
- Adaptive Bayesian Wavelet ShrinkageJournal of the American Statistical Association, 1997
- Modeling and Inference with v-Spherical DistributionsJournal of the American Statistical Association, 1995
- Adapting to Unknown Smoothness via Wavelet ShrinkageJournal of the American Statistical Association, 1995
- A theory for multiresolution signal decomposition: the wavelet representationIeee Transactions On Pattern Analysis and Machine Intelligence, 1989