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» On cooperative image denoising
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SIAMIS
2010
283views more  SIAMIS 2010»
13 years 2 months ago
A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
Ernie Esser, Xiaoqun Zhang, Tony F. Chan
ICIP
2001
IEEE
14 years 9 months ago
Wavelet shrinkage with correlated wavelet coefficients
This paper investigates the statistical characterizationof multiscale wavelet coefficients corresponding to random signals and images. Virtually all approaches to wavelet shrinkag...
Zohreh Azimifar, Paul W. Fieguth, Ed Jernigan
ICIP
2007
IEEE
13 years 8 months ago
A Wavelet-Based Noise-Aware Method for Fusing Noisy Imagery
Fusion of images in the presence of noise is a challenging problem. Conventional fusion methods focus on aggregating prominent image features, which usually result in noise enhanc...
Xiaohui Yuan, Bill P. Buckles
DAGM
2011
Springer
12 years 7 months ago
Putting MAP Back on the Map
Conditional Random Fields (CRFs) are popular models in computer vision for solving labeling problems such as image denoising. This paper tackles the rarely addressed but important ...
Patrick Pletscher, Sebastian Nowozin, Pushmeet Koh...
CVPR
2009
IEEE
15 years 3 months ago
Learning Optimized MAP Estimates in Continuously-Valued MRF Models
We present a new approach for the discriminative training of continuous-valued Markov Random Field (MRF) model parameters. In our approach we train the MRF model by optimizing t...
Kegan G. G. Samuel, Marshall F. Tappen