Evaluation of Adaptive Filtering Techniques for Cleaning SAR, Laser Beamed Fringes and Ultrasonic Images from the Speckle Noise
Author:
Affiliation:
1. SVBL, Gunma University, Faculty of Engineering
2. Electrical Department, Gunma University, Faculty of Engineering
Publisher
Society of Agricultural Meteorology of Japan
Subject
Atmospheric Science,Agronomy and Crop Science
Link
https://www.jstage.jst.go.jp/article/agrmet/60/6/60_1201/_pdf
Reference6 articles.
1. Frost, V.S., Stiles, J.A., Shanmugan, K. S. and Holtzman, J. C., 1982: A model for radar images and its application to adaptive digital filtering of multiplicative noise, IEEE Trans. On Patt. Anal. And Machine Intell., 4, 157-166.
2. Goodman, J. W. 1976: Some fundamental properties of speckle, J. Opt. Soc. Am., 66(11), 1145-1150.
3. Kuan, D. T., Sawchuk, A. A., Strand, T. C., and Chavel, P. 1985: Adaptive noise smoothing filter for images with signal-dependent noise, IEEE Trans. On Pattern Analysis and Machine Intelligence, 7, 165-177.
4. Lim, J. S. and Nawab, H. 1981: Techniques for speckle noise removal, Optical Engineering., 20(3), 472-480.
5. Myler, H. R. and Weeks, A. R. 1993: The Pocket Handbook of Image Processing Algorithms in C. Prentice Hall PTR, 1993.
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