DocumentCode
2878576
Title
Wavelet-based image processing: edge detection and noise reduction
Author
Bezvesilniy, O. ; Vinogradov, V. ; Vavriv, D. ; Schünemann, K.
Author_Institution
Inst. of Radio Astron., Kharkov, Ukraine
fYear
2003
fDate
1-3 Oct. 2003
Firstpage
123
Lastpage
126
Abstract
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.
Keywords
airborne radar; discrete wavelet transforms; edge detection; image denoising; image enhancement; image representation; interference suppression; object detection; radar signal processing; 36 GHz; 95 GHz; airborne side-looking radar; edge detection; edge enhancement; image object extraction capability; image representation; noise reduction; radar image processing; template wavelet coefficient; wavelet-based image processing; Airborne radar; Data mining; Discrete wavelet transforms; Filtering; Image edge detection; Image processing; Noise reduction; Radar imaging; Wavelet coefficients; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Electromagnetics and Communications, 2003. ICECom 2003. 17th International Conference on
Print_ISBN
953-6037-39-4
Type
conf
DOI
10.1109/ICECOM.2003.1290970
Filename
1290970
Link To Document