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ICASSP
2011
IEEE
12 years 11 months ago
Robust Bayesian Analysis applied to Wiener filtering of speech
Commonly used speech enhancement algorithms estimate the power spectral density of the noise to be removed, or make a decision about the presence of speech in a particular frame, ...
Phil Spencer Whitehead, David V. Anderson
MICCAI
2007
Springer
14 years 8 months ago
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration
Abstract. Dynamic enhancement causes serious problems for registration of contrast enhanced breast MRI, due to variable uptakes of agent on different tissues or even same tissues i...
Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sar...
ICASSP
2010
IEEE
13 years 7 months ago
Speech enhancement in transient noise environment using diffusion filtering
Recently, we have presented a transient noise reduction algorithm for speech signals that relies on non-local diffusion filtering. By exploiting the repetitive nature of transien...
Ronen Talmon, Israel Cohen, Sharon Gannot
ICPR
2004
IEEE
14 years 8 months ago
Resolution Enhancement by AdaBoost
This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem an...
Bhaskar D. Rao, Junwen Wu, Mohan M. Trivedi
ICIP
2008
IEEE
14 years 9 months ago
Blind forensics of contrast enhancement in digital images
Digital images have seen increased use in applications where their authenticity is of prime importance. This proves to be problematic due to the widespread availability of digital...
Matthew Stamm, K. J. Ray Liu