Paper
1 January 1987 An Introduction To Sifting Theory
Stephen Herman
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Abstract
A common class of nonlinear signal and image processing methods involves the use of median filters or the more general rank-ordered operators. Sifting theory models these operators in a manner that allows intuitive parallels to be drawn to analogous linear filtering procedures. Such insights should provide guidance on how to utilize these available techniques and synthesize new ones.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Herman "An Introduction To Sifting Theory", Proc. SPIE 0767, Medical Imaging, (1 January 1987); https://doi.org/10.1117/12.967015
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Expectation maximization algorithms

Image processing

Linear filtering

Signal processing

Digital filtering

Filtering (signal processing)

Electronic filtering

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