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149
Voted
CVPR
1999
IEEE
16 years 8 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
163
Voted
ICIP
2002
IEEE
16 years 7 months ago
Progressive image transmission over a noisy channel using wavelet transform and channel optimized vector quantization
This paper studies a progressive image transmission technique over waveform channels. The Channel Optimized Vector Quantization codec (COVQ) [1] is applied to the image wavelet co...
Inmaculada García, José L. Pé...
ICIP
2000
IEEE
16 years 7 months ago
Statistical Threshold Design for the Two-State Signal-Dependent Rank Order Mean Filter
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Michael S. Moore, Sanjit K. Mitra
ICIP
1998
IEEE
16 years 7 months ago
Image and Video Transmission over Wireless Channel: A Subband Modulation Approach
A new approach of reliable image and video transmission over noisy channel is proposed. The proposed subband modulation scheme combines source coding and channel modulation scheme...
Haitao Zheng, K. J. Ray Liu
ICIP
1994
IEEE
16 years 7 months ago
Robust B-Spline Image Smoothing
In this work we present a new approach to two - dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based i...
Marta Karczewicz, Moncef Gabbouj, Jaakko Astola