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» An Adaptive Steganographic Method Using Additive Noise
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TASLP
2008
133views more  TASLP 2008»
15 years 3 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
TIP
2002
183views more  TIP 2002»
15 years 5 months ago
Speckle reducing anisotropic diffusion
This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), a diffusion method tailored to ultrasonic and radar imaging applications. SRAD is the edge-sens...
Yongjian Yu, Scott T. Acton
TIP
2011
84views more  TIP 2011»
15 years 11 days ago
Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising
—The removal of Poisson noise is often performed through the following three-step procedure. First, the noise variance is stabilized by applying the Anscombe root transformation ...
Markku Makitalo, Alessandro Foi
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
15 years 8 months ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
IJCV
2008
188views more  IJCV 2008»
15 years 5 months ago
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods
The recent development of Sequential Monte Carlo methods (also called particle filters) has enabled the definition of efficient algorithms for tracking applications in image sequen...
Elise Arnaud, Étienne Mémin