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
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;
Conference_Titel :
Applied Electromagnetics and Communications, 2003. ICECom 2003. 17th International Conference on
Print_ISBN :
953-6037-39-4
DOI :
10.1109/ICECOM.2003.1290970
