Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/baywave-bayesian-wavelet-based-image-estimation-UzocSeeOI8
References (20)
-
G. Papakostas, Y. Boutalis, S. Samartzidis, Dimitrios Karras, Basil Mertzios (2008)
Two-stage hybrid tuning algorithm for training neural networks in image vision applicationsInternational Journal of Signal and Imaging Systems Engineering, 1
-
D. Donoho, I. Johnstone (1994)
Ideal spatial adaptation by wavelet shrinkageBiometrika, 81
-
(2006)
Int. J. Signal and Imaging Systems Engineering FPGA, EURASIP Journal on Embedded Systems -
A. Pande, Joseph Zambreno (2008)
Design and analysis of efficient reconfigurable wavelet filters2008 IEEE International Conference on Electro/Information Technology
-
S. Chang, Bin Yu, M. Vetterli (2000)
Adaptive wavelet thresholding for image denoising and compressionIEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 9 9
-
A. Lisowska (2008)
Image denoising with second-order wedgeletsInternational Journal of Signal and Imaging Systems Engineering, 1
-
Wei Zhang, Q. Sui, Weihua Liu, Q. Jiang (2007)
Image Denoising Based on Multiple Wavelet Representations and Universal Hidden Markov Tree2007 IEEE International Conference on Automation and Logistics
-
Eero Simoncelli, E. Adelson (1996)
Noise removal via Bayesian wavelet coringProceedings of 3rd IEEE International Conference on Image Processing, 1
-
S. Khaitan, J. McCalley, Qiming Chen (2008)
Multifrontal Solver for Online Power System Time-Domain SimulationIEEE Transactions on Power Systems, 23
-
Mário Figueiredo, R. Nowak (1999)
Bayesian wavelet-based image estimation using noninformative priors, 3816
-
A. DeHon (1998)
Comparing computing machines, 3526
-
Ronald DeVore, B. Lucier (1992)
Fast wavelet techniques for near-optimal image processingMILCOM 92 Conference Record
-
S. Kozaitis (2008)
Improved feature detection in ECG signals through denoisingInternational Journal of Signal and Imaging Systems Engineering, 1
-
M. Katona, A. Pižurica, N. Teslic, V. Kovacevic, W. Philips (2006)
A Real-Time Wavelet-Domain Video Denoising Implementation in FPGAEURASIP Journal on Embedded Systems, 2006
-
(1995)
J. Am. Statist. Ass -
M. Ouendeno, S. Kozaitis (2008)
Using denoising to improve image fusion performanceInternational Journal of Signal and Imaging Systems Engineering, 1
-
A. DeHon (2000)
The Density Advantage of Configurable ComputingComputer, 33
-
(1994)
Ideal spatial adaptation via wavelet shrinkage Biometrika -
M. Vetterli, J. Kovacevic (2013)
Wavelets and Subband Coding -
D. Donoho, I. Johnstone (1995)
Adapting to Unknown Smoothness via Wavelet ShrinkageJournal of the American Statistical Association, 90
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1748-0698
- eISSN
- 1748-0701
- DOI
- 10.1504/IJSISE.2009.033756
- Publisher site
- See Article on Publisher Site
Abstract
Image denoising is an important step in image compression and other image processing algorithms. Hard and soft thresholding algorithms are often used to denoise the images. Recently wavelet transform has been used as a tool to denoise the images. However, there are problems associated with the thresholding algorithms. There is no subjective way to determine the threshold. In this work, we implement a simple Bayesian theory to obtain optimal threshold for such algorithms. MATLAB simulations were performed to validate the working of Bayesian thresholding method.
Journal
International Journal of Signal and Imaging Systems Engineering – Inderscience Publishers
Published: Jan 1, 2009