Wavelet-based image processing: edge detection and noise reduction

A novel wavelet-based algorithm for radar image processing is proposed. The algorithm is based on a representation of image edges with template wavelet coefficients. Edge enhancement, noise reduction, and image object extraction capabilities of the proposed algorithm are discussed. The algorithm has...

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Bibliographische Detailangaben
Hauptverfasser:	Bezvesilniy, O., Vinogradov, V., Vavriv, D., Schunemann, K.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Airborne radar Data mining Discrete wavelet transforms Filtering Image edge detection Image processing Noise reduction Radar imaging Wavelet coefficients Wavelet domain
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Beschreibung
Zusammenfassung:	A novel wavelet-based algorithm for radar image processing is proposed. The algorithm is based on a representation of image edges with template wavelet coefficients. Edge enhancement, noise reduction, and image object extraction capabilities of the proposed algorithm are discussed. The algorithm has been used to process data obtained with a dual frequency 36 and 95 GHz airborne side-looking radar.
DOI:	10.1109/ICECOM.2003.1290970