Image decorrelation based on the representation by stochastic models

Image decorrelation based on the representation by stochastic models

In a number of cases many of the image processing tasks require decorrelation, which simplifies or makes possible subsequent processing. The decorrelation technique based on image representation by causal and non-causal stochastic models is proposed. The influence of the procedure both on background...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Grebenshchikov, K.D., Spector, A.A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Brightness
Decorrelation
Detectors
Filtering
Filters
Image edge detection
Image processing
Layout
Pixel
Stochastic processes
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Beschreibung
Zusammenfassung:In a number of cases many of the image processing tasks require decorrelation, which simplifies or makes possible subsequent processing. The decorrelation technique based on image representation by causal and non-causal stochastic models is proposed. The influence of the procedure both on background, and on the information component of the image is considered. The results of processing by rank detector operating on decorrelated preparation in the task of step edge detection are given.
DOI:10.1109/MEMIA.2001.982342