Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 37-40

  Portilla, J ^a   Strela, V ^a   Wainwright, M J ^a   Simoncelli, E P ^a  

^a UNIVERSITY OF GRANADA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN NOISE (ELECTRONIC); MATHEMATICAL MODELS; RANDOM PROCESSES; STATISTICAL METHODS; WAVELET TRANSFORMS;

STOCHASTIC MODEL; WAVELET DOMAIN;

IMAGE PROCESSING;

EID: 0035168420     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. Shiftable multi-scale transforms
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4. Bayesian denoising of visual images in the wavelet domain
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6. Image denoising using a local Gaussian scale mixture model in the wavelet domain
7. Scale mixtures of normal distributions
8. Scale mixtures of Gaussians and the statistics of natural images
9. Statistical models for images: Compression, restoration and synthesis
10. Wavelet-based statistical signal processing using hidden Markov models
11. Low-complexity image denoising based on statistical modeling of wavelet coefficients
12. Denoising via block Wiener filtering in wavelet domain
13. Random cascades on wavelet trees and their use in modeling and analyzing natural imagery
14. Digital image enhancement and noise filtering by use of local statistics