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» Joint demosaicing and denoising
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ISBI
2004
IEEE
14 years 10 months ago
EEG Cortical Imaging: A Vector Field Approach for Laplacian Denoising and Missing Data Estimation
The surface Laplacian is known to be a theoretical reliable approximation of the cortical activity. Unfortunately, because of its high pass character and the relative low density ...
Teodor Alecu, Sviatoslav Voloshynovskiy, Thierry P...
ICCCN
2007
IEEE
14 years 1 months ago
Applying Wavelet De-noising to Improve TCP Throughput in AQM queues with Existence of Unresponsive Traffic
Abstract-- in the current Internet, congestion control is performed jointly by the end systems running the TCP protocol and by routers running Active Queue Management (AQM) algorit...
Yi Pan, Wei K. Tsai, Tatsuya Suda
TIP
2008
89views more  TIP 2008»
13 years 9 months ago
Optimal Denoising in Redundant Representations
Abstract--Image denoising methods are often designed to minimize mean-squared error (MSE) within the subbands of a multiscale decomposition. However, most high-quality denoising re...
Martin Raphan, Eero P. Simoncelli
ECCV
2008
Springer
14 years 11 months ago
Sparse Long-Range Random Field and Its Application to Image Denoising
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
Yunpeng Li, Daniel P. Huttenlocher
ICIP
2003
IEEE
14 years 11 months ago
On multivariate estimation by thresholding
Despite their simplicity, scalar threshold operators effectively remove additive white Gaussian noise from wavelet detail coefficients of many practical signals. This paper explor...
Alyson K. Fletcher, Vivek K. Goyal, Kannan Ramchan...