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SIGGRAPH
1998
ACM
13 years 8 months ago
A Perceptually Based Adaptive Sampling Algorithm
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
Mark R. Bolin, Gary W. Meyer
ICIP
2007
IEEE
14 years 6 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...
TIP
2008
205views more  TIP 2008»
13 years 4 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
ECCV
2006
Springer
14 years 6 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
PAMI
2007
108views more  PAMI 2007»
13 years 4 months ago
Space-Time Adaptation for Patch-Based Image Sequence Restoration
—We present a novel space-time patch-based method for image sequence restoration. We propose an adaptive statistical estimation framework based on the local analysis of the bias-...
Jérôme Boulanger, Charles Kervrann, P...