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» A New Method of Image Denoise Using Contourlet Transform
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ICPR
2006
IEEE
15 years 10 months ago
Statistical Model for the Classification of the Wavelet Transforms of T-ray Pulses
This study applies Auto Regressive (AR) and Auto Regressive Moving Average (ARMA) modeling to wavelet decomposed terahertz pulsed signals to assist biomedical diagnosis and mail/p...
Bradley Ferguson, Brian Wai-Him Ng, Derek Abbott, ...
ICIP
2009
IEEE
15 years 10 months ago
Efficient Poisson Denoising For Photography
In general, image sensor noise is dominated by Poisson statistics, even at high illumination level, yet most standard denoising procedures often assume a simpler additive Gaussian...
ICIP
2005
IEEE
15 years 11 months ago
Image restoration using a hybrid combination of particle filtering and wavelet denoising
In this paper we propose a novel image restoration method that effectively combines a particle filter with wavelet shrinkage to achieve robust performance against inhomogeneous no...
Yan Zhai, Mark B. Yeary, Victor E. DeBrunner, Jose...
ICIP
2006
IEEE
15 years 11 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
ICPR
2002
IEEE
15 years 2 months ago
A New Approach for Line Recognition in Large-size Images Using Hough Transform
The application of Hough Transform (HT) has been limited to small-size images for a long time. For large-size images, the peak detection and the line verification become much more...
Jiqiang Song, Min Cai, Michael R. Lyu, Shijie Cai