Sciweavers

68 search results - page 6 / 14
» An adaptive segmentation-based regularization term for image...
Sort
View
ICIP
2005
IEEE
14 years 10 months ago
Minimization of detail-preserving regularization functional by Newton's method with continuation
Abstract-- Recently, a two-phase scheme for removing saltand-pepper impulse noise has been proposed [14]. In the first phase, an adaptive median filter is used to identify pixels w...
Raymond H. Chan, Chung-Wa Ho, Chun-Yee Leung, Mila...
TIP
2008
193views more  TIP 2008»
13 years 8 months ago
Image Restoration Using Space-Variant Gaussian Scale Mixtures in Overcomplete Pyramids
In recent years Bayes Least Squares - Gaussian scale mixtures (BLS-GSM) has emerged as one of the most powerful methods for image restoration. Its strength relies on providing a si...
Jose A. Guerrero-Colon, Luis Mancera, Javier Porti...
ICPR
2002
IEEE
14 years 1 months ago
Near-Optimal Regularization Parameters for Applications in Computer Vision
Computer vision requires the solution of many ill-posed problems such as optical flow, structure from motion, shape from shading, surface reconstruction, image restoration and ed...
Changjiang Yang, Ramani Duraiswami, Larry S. Davis
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
ECCV
2010
Springer
14 years 1 months ago
Adaptive Regularization for Image Segmentation Using Local Image Curvature Cues
Abstract. Image segmentation techniques typically require proper weighting of competing data fidelity and regularization terms. Conventionally, the associated parameters are set t...