A low cost algorithm for CFA data compression

A low cost algorithm for CFA data compression

This paper introduces a new, low cost algorithm based on vector quantization (VQ) that allows compression of data in color filter array (CFA), the format provided by the physical sensor in almost all the digital still cameras (DSCs) and video cameras. The proposed method allows a compression of 45%...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bruna, A., Buemi, A., Vella, F., Vitali, A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Costs
Data compression
Digital cameras
Image coding
Image reconstruction
Interpolation
Pixel
Quantization
Sensor arrays
Transform coding
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This paper introduces a new, low cost algorithm based on vector quantization (VQ) that allows compression of data in color filter array (CFA), the format provided by the physical sensor in almost all the digital still cameras (DSCs) and video cameras. The proposed method allows a compression of 45% with no visual loss in the output.
ISSN:2158-3994
2158-4001
DOI:10.1109/ICCE.2006.1598472