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» A Novel Monte Carlo Noise Reduction Operator
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CGA
2005
13 years 4 months ago
A Novel Monte Carlo Noise Reduction Operator
A novel Monte Carlo noise reduction operator is proposed in this paper. We apply and extend the standard bilateral filtering method and build a new local adaptive noise reduction k...
Ruifeng Xu, Sumanta N. Pattanaik
ICASSP
2008
IEEE
13 years 11 months ago
Blind optimization of algorithm parameters for signal denoising by Monte-Carlo SURE
We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein’s Unbiased Risk Estimate (SURE) which provides a means of assessing ...
Sathish Ramani, Thierry Blu, Michael Unser
CGF
2010
111views more  CGF 2010»
13 years 4 months ago
Density-based Outlier Rejection in Monte Carlo Rendering
The problem of noise in Monte-Carlo rendering arising from estimator variance is well-known and well-studied. In this work, we concentrate on identifying individual light paths as...
Christopher DeCoro, Tim Weyrich, Szymon Rusinkiewi...
ICPR
2008
IEEE
14 years 5 months 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...
ISCAS
2008
IEEE
122views Hardware» more  ISCAS 2008»
13 years 11 months ago
A nano-CMOS process variation induced read failure tolerant SRAM cell
— In a nanoscale technology, memory bits are highly susceptible to process variation induced read/write failures. To address the above problem, in this paper a new memory cell is...
Jawar Singh, Jimson Mathew, Saraju P. Mohanty, Dhi...