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» Image Denoising with Directional Bases
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85
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ICIP
1998
IEEE
15 years 1 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli
ICIP
2007
IEEE
15 years 11 months ago
Image Denoising with Nonparametric Hidden Markov Trees
We develop a hierarchical, nonparametric statistical model for wavelet representations of natural images. Extending previous work on Gaussian scale mixtures, wavelet coefficients ...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
ICIAR
2005
Springer
15 years 3 months ago
Ultrafast Technique of Impulsive Noise Removal with Application to Microarray Image Denoising
Abstract. In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detec...
Bogdan Smolka, Konstantinos N. Plataniotis
CVPR
2007
IEEE
15 years 11 months ago
Variable Bandwidth Image Denoising Using Image-based Noise Models
This paper introduces a variational formulation for image denoising based on a quadratic function over kernels of variable bandwidth. These kernels are scale adaptive and reflect ...
Noura Azzabou, Nikos Paragios, Frederic Guichard, ...
72
Voted
ICIP
2009
IEEE
15 years 10 months ago
Efficient Multivariate Skellam Shrinkage For Denoising Photon-limited Image Data: An Empirical Bayes Approach
In this article we address the issue of denoising photon-limited image data by deriving new and efficient multivariate Bayesian estimators that approximate the conditional expecta...