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TIP
2010
113views more  TIP 2010»
13 years 3 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...
TIP
1998
128views more  TIP 1998»
13 years 8 months ago
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
MICCAI
2006
Springer
14 years 9 months ago
Rician Noise Removal in Diffusion Tensor MRI
Rician noise introduces a bias into MRI measurements that can have a significant impact on the shapes and orientations of tensors in diffusion tensor magnetic resonance images. Thi...
Saurav Basu, P. Thomas Fletcher, Ross T. Whitaker
IEICET
2010
96views more  IEICET 2010»
13 years 7 months ago
An Unsupervised Optimization of Structuring Elements for Noise Removal Using GA
—To recover texture images from impulse noise by the opening operation which is one of morphological operations, an suitable structuring element (SE) has to be estimated. Hithert...
Hiroyuki Okuno, Yoshiko Hanada, Mitsuji Muneyasu, ...
JMIV
2007
83views more  JMIV 2007»
13 years 8 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore