Sciweavers

102 search results - page 10 / 21
» Local regularity-based image denoising
Sort
View
ICIP
2009
IEEE
14 years 8 months ago
Context-based Bias Removal Of Statistical Models Of Wavelet Coefficients For Image Denoising
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...
CVPR
2007
IEEE
14 years 9 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, ...
JEI
2008
100views more  JEI 2008»
13 years 7 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
ISBI
2009
IEEE
14 years 2 months ago
An Adaptive Nonparametric Approach to Restoration and Interpolation for Medical Imaging
We present the application of a novel nonparametric approach to restoration and interpolation of medical images. The proposed approach is based on the notion of spatially adaptive...
Hiroyuki Takeda, Peyman Milanfar
ICIP
1998
IEEE
13 years 12 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