Image denoising using Wiener filtering and wavelet thresholding

IEEE International Conference on Multi-Media and Expo

Volumn , Issue III/WEDNESDAY, 2000, Pages 1759-1762

  Huang, X ^a   Woolsey, G A ^a  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL FILTERS; SIGNAL FILTERING AND PREDICTION; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS; WAVELET TRANSFORMS;

IMAGE DENOISING; WAVELET THRESHOLDING;

IMAGE ANALYSIS;

EID: 0034508682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Entropy-based algorithms for best basis selection
2. Wavelet shrinkage: Asymptopia?
3. Singularity detection and processing with wavelets
4. Characterisation signals from multiscale edges
5. Wavelet transform domain filtration technique
6. Ideal spatial adaptation by wavelet shrinkage
7. Nonlinear wavelet methods for recovery of signals, densities, and spectra from indirect and noisy data
8. Enhancement of decompressed images at low bit rates
9. Speckle reduction via wavelet shrinkage with application to SAR based ATD/R
10. De-noising using wavelets and cross validation
11. Simultaneous noise suppression and signal compression using a library of orthonormal bases and the minimum description length criterion
12. Karhunen-loeve multispectral image restoration, part I: Theory
13. Digital restoration of multichannel images
14. Efficient multiframe wiener restoration of blurred and noisy image sequences