An adaptive order-statistic noise filter for gamma-corrected image sequences

Original video signals are often corrupted by a certain amount of noise originating from the camera electronics. As a result of the gamma correction in cameras, the observed noise is signal dependent. We present a spatio-temporal order-statistic (OS) noise filter that takes into account the gamma co...

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Bibliographic Details
Published in:IEEE transactions on image processing 1997-10, Vol.6 (10), p.1442-1446
Main Authors: Kleihorst, R.P., Lagendiik, R.L., Biemond, J.
Format: Article
Language:English
Subjects:
Adaptive filters
Applied sciences
Artificial intelligence
Cameras
Circuit noise
Computer science
control theory
systems
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Filtering
Finite impulse response filter
Image sequences
Information, signal and communications theory
Nonlinear filters
Pattern recognition. Digital image processing. Computational geometry
Signal and communications theory
Signal, noise
Statistics
Telecommunications and information theory
Testing
Video compression
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Description
Summary:Original video signals are often corrupted by a certain amount of noise originating from the camera electronics. As a result of the gamma correction in cameras, the observed noise is signal dependent. We present a spatio-temporal order-statistic (OS) noise filter that takes into account the gamma correction in the camera. The calculation of the filter coefficients requires higher-order order-statistics (HOOS) of the noise process. We make use of a range test (RT) to determine locally from which neighboring signal values an estimate should be formed. The noise filter that we arrive at is adaptive and computationally efficient.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.624968