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Despeckling of SAR Images using Wavelet based Iterative Brute Force Thresholding with Median Filter and Savitzky-Golay Filter

by Ruchita Gir, Lalit Jain, Rajesh Rai
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 20
Year of Publication: 2015
Authors: Ruchita Gir, Lalit Jain, Rajesh Rai
10.5120/21347-4361

Ruchita Gir, Lalit Jain, Rajesh Rai . Despeckling of SAR Images using Wavelet based Iterative Brute Force Thresholding with Median Filter and Savitzky-Golay Filter. International Journal of Computer Applications. 120, 20 ( June 2015), 43-48. DOI=10.5120/21347-4361

@article{ 10.5120/21347-4361,
author = { Ruchita Gir, Lalit Jain, Rajesh Rai },
title = { Despeckling of SAR Images using Wavelet based Iterative Brute Force Thresholding with Median Filter and Savitzky-Golay Filter },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 20 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 43-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number20/21347-4361/ },
doi = { 10.5120/21347-4361 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:45.736077+05:30
%A Ruchita Gir
%A Lalit Jain
%A Rajesh Rai
%T Despeckling of SAR Images using Wavelet based Iterative Brute Force Thresholding with Median Filter and Savitzky-Golay Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 20
%P 43-48
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

SAR images are corrupted by speckle noise which is based on multiplicative noise or Reyleigh noise. The speckle degrades the quality of image and makes interpretations, analysis and classifications of SAR images harder. Therefore some speckle mitigation is necessary prior to the processing of SAR images. In this paper a new method is proposed for despeckling of SAR images in which Savitzky-Golay filter and median filter are used for denoising of the synthetic aperature radar (SAR) image. After obtaining filtered image they are decomposed by the use of undecimated wavelet transform. The speckled input image is also decomposed using undecimated wavelet transform. Then image segmentation is done by the use of brute force thresholding wavelet based algorithm in which each pixel of the entire decomposed image is compared and the maximum value of threshold image pixel is replaced in every iteration of image processing. Lastly enhanced directional smoothing of the image is done to obtain a despeckled image

References
  1. Guozhong Chen,Xingzhao Liu "Wavelet-Based Despeckling SAR Images Using Neighbouring Wavelet Cofficients. " Proceedings of IEEE 2005.
  2. G. Lee, "Re?ned ?ltering of image noise using local statistics," Comput. Graph. Image Process. , vol. 15, no. 4, 1981.
  3. V. S. Frost, J. A. Stiles, K. S. Shanmugan, and J. C. Holtzman, "A model for radar images and its application to adaptive digital ?ltering of multi¬plicative noise," IEEE Trans. Pattern Anal. Machine Intell. , vol. PAMI-4, Mar. 1980.
  4. A. Lopes, E. Nezry, R. Touzi, and H. Laur, "Maximum a posteriori ?l¬tering and ?rst order texture models in SAR images," in Proc. IGARSS, 1990.
  5. A. Lopes, R. Touzi, and E. Nezry, "Adaptive speckle ?lters and scene heterogeneity," IEEE Trans. Geosci. Remote Sensing, vol. 28, pp. 992–1000, Nov. 1990.
  6. L. Gagnon and A. Jouan, "Speckle ?ltering of SAR images-A compar¬ative study between complex-wavelet-based and standard ?lters," Proc. SPIE, 1997.
  7. Birgir Bjorn Saevarsson,Johannes R. Sveinsson and Jon Atli Benediktsson "Combined Wavelet and Curvelet Denoising of SAR Images" Proceedings of IEEE 2004.
  8. Guozhong Chen,Xingzhao Liu "An Improved Wavelet-based Method for SAR Images Denoising Using Data Fusion Technique". Proceedings of IEEE 2006.
  9. M. I. H. Bhuiyan,M Omair Ahmed "Wavelet-Based Spatially Adaptive Method for Despeckling SAR Images". Proceedings of IEEE 2006.
  10. Aglika Gyaourova "Undecimated Wavelet Transforms for Image Denoising" center for applied scientific computing, Lawrence Livermore nation laboratory, November 19, 2002.
  11. H. Guo, J. E. Odegard, M. Lang, R. A. Gopinath, I. Selesnick, and C. S. Burrus, "Speckle reduction via wavelet shrinkage with application to SAR based ATD/R," Technical Report CML TR94-02, CML, Rice University, Houston, 1994.
  12. S. G. Chang, B. Yu, and M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression," IEEE Transactions on Images Processing, vol 9, no. 9, pp. 1532-1546, September 2000.
  13. X. P. Zhang, "Thresholding Neural Network for Adaptive Noise reduction," IEEE Transactions on Neural Networks, vol. 12, no. 3, pp567¬584. May 2001.
  14. M. Amirmazlaghani and H. Amindavar, "Two Novel Bayesian Multiscale Approaches for Speckle Suppression in SAR Images," IEEE Trans. Geoscience and Remote Sensing, vol. 48, no. 7, 2010.
  15. V. Santhi, "Speckle Reduction of SAR Images using Adaptive Sigmoid Thresholding and Analysis of various Filtering Techniques", International Journal of Computer Applications, Volume 46 - Number 2, 2012.
  16. Mario Mastriani "New Wavelet-based Superresolution Algorithm for Speckle Reduction in SAR Images" IJCS volume 1 number 4, 2006.
  17. R. W. Schafer, "On the frequency-domain properties of Savitzky-Golay filter," in Proc. 2011 DSP/SPE Workshop, Sedona, AZ, Jan 2011.
  18. M. Mastriani,A. E. Giraldez Enhanced Directional Smoothing Algorithm for Edge-Preserving Smoothing of Synthetic-Aperture Radar Images, SAOCOM Mission, National Commission of Space Activities (CONAE) Argentina, Feb 2004.
  19. NTU satellite network, Digital Image Enhancement,10 Feb 1992.
  20. Rizwan Ahmed, Wavelet based iterative thresholding for denoising of remotely sensed optical and synthetic aperture radar images, IEEE International Conference on Advanced Communication Control & Computing Technologies, 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Undecimated Wavelet Transform SAR Savitzky-Golay filter median filter direction dependent mask Directional Smoothing.

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