Sciweavers

460 search results - page 9 / 92
» The Use of Residuals in Image Denoising
Sort
View
ICPR
2008
IEEE
16 years 26 days ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ICIP
2002
IEEE
16 years 1 months ago
Residual image coding for stereo image compression
One main focus of research in stereo image coding has been disparity estimation, a technique used to reduce the coding rate by taking advantage of the redundancy in a stereo image ...
Kenneth Zeger, Tamás Frajka
ICIP
2003
IEEE
16 years 1 months ago
PDE-based denoising of complex scenes using a spatially-varying fidelity term
The widely used denoising algorithms based on nonlinear diffusion, such as Perona-Malik and total variation denoising, modify images toward piecewise constant functions. Though ed...
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
ICVGIP
2008
15 years 1 months ago
Adaptive Nonlinear Image Denoising and Restoration Using a Cooperative Bayesian Estimation Approach
A novel nonlinear cooperative approach to image denoising and restoration is presented. Samples from the image field with similar characteristics are first grouped into clusters b...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
ICIP
2009
IEEE
16 years 22 days ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...