Image modeling and quality criteria

Image modeling and quality criteria

When an image which is disturbed by additive noise is recursively filtered, the filter is derived from a dynamic model based on the second-order statistics of the original image and noise. For given image statistics, it is possible to consider different models. The choice of a model may influence th...

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Veröffentlicht in:IEEE transactions on acoustics, speech, and signal processing speech, and signal processing, 1979-12, Vol.27 (6), p.649-652
Hauptverfasser: Biemond, J., Links, L., Boekee, D.
Format: Artikel
Sprache:eng
Schlagworte:
Additive noise
Difference equations
Filters
Image restoration
Low earth orbit satellites
Pixel
Speech analysis
Speech processing
Statistics
Transfer functions
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Beschreibung
Zusammenfassung:When an image which is disturbed by additive noise is recursively filtered, the filter is derived from a dynamic model based on the second-order statistics of the original image and noise. For given image statistics, it is possible to consider different models. The choice of a model may influence the quality of the filter results. To compare different models representing the same image, three quality criteria, including the Cramér-Rao bound, are introduced. Results of this comparison are discussed.
ISSN:0096-3518
DOI:10.1109/TASSP.1979.1163326