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Importance sampling-based unscented Kalman filter for film-grain noise removal
A. N. Rajagopalan
,
Rangarajan Aravind
Published in
2008
DOI:
10.1109/MMUL.2008.32
Volume: 15
Issue: 2
Pages: 52 - 63
Abstract
Photographic film contains film-grain noise that translates to multiplicative, non-Gaussian noise in the exposure domain. A method based on the unscented Kalman filter can suppress this noise while simultaneously preserving edge information. © 2008 IEEE.
Topics:
Unscented transform
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Salt-and-pepper noise
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Gaussian noise
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Noise
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References (19)
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Authors (2)
Concepts (14)
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About the journal
Journal
IEEE Multimedia
ISSN
1070986X
Open Access
No
Authors (2)
A. N. Rajagopalan
Department of Electrical Engineering
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Concepts (14)
Agricultural products
Canning
Control theory
Kalman filters
Military data processing
Nonlinear filtering
PHOTOGRAPHIC FILMS
Wave filters
Edge information
FILM-GRAIN NOISE
IMPORTANCE SAMPLING (IS)
NON GAUSSIAN NOISES
Unscented kalman filter (ukf)
Gaussian noise (electronic)
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