Despeckling of SAR Images via an Improved Anisotropic Diffusion Algorithm

  • Anurag GuptaEmail author
  • Anubhav Tripathi
  • Vikrant Bhateja
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 199)


Synthetic Aperture Radar (SAR) is a powerful tool for producing high-resolution images but these images are highly contaminated with speckle noise. This paper proposes an improved Anisotropic Diffusion Algorithm for despeckling SAR images. The proposed algorithm is obtained by using a diffusion coefficient which consists of a combination of first and second order derivative operators. The spatial variation of this diffusion coefficient occurs in such a way that it prefers forward diffusion to backward diffusion resulting in improved structural details and edge preservation. The simulation results also show better computational efficiency in comparison to other denoising techniques.


Speckle SAR images Diffusion coefficient Multiplicative noise 


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  1. 1.
    Oliver, C.J.: Information from SAR Images. Journal of Applied Physics 24(5), 1493–1514 (1991)Google Scholar
  2. 2.
    Santosh, D.H.H., et al.: Efficiency Techniques for Denoising of Speckle and Highly Corrupted Impulse Noise Images. In: Proc. of the 3rd International Conference on Electronics and Computer Technology, vol. 3, pp. 253–257 (2011)Google Scholar
  3. 3.
    Lopes, A., Tauzin, R., Nezry, E.: Adaptive Speckle Filters and Scene Heterogenity. IEEE Transactions on Geoscience and Remote Sensing 28(6) (1990)Google Scholar
  4. 4.
    Loizou, C.P., et al.: Comparative Evaluation of Despeckle Filtering in Ultrasound Imaging of the Carotid Artery. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency 52(10), 1653–1669 (2005)CrossRefGoogle Scholar
  5. 5.
    Perona, P., Malik, J.: Scale-Space and Edge Detection using Anisotropic Diffusion. IEEE Transactions on Pattern Analysis and Machine Intelligence 12(7), 629–639 (1990)CrossRefGoogle Scholar
  6. 6.
    Yu, Y., Acton, S.: Speckle Reducing Anisotropic Diffusion. IEEE Transactions on Image Processing 11(11), 1260–1270 (2002)CrossRefMathSciNetGoogle Scholar
  7. 7.
    Aja-Fernandez, S., Alberola-Lopez, C.: On the Estimation of the Coefficient of Variation for Anisotropic Diffusion Speckle Filtering. IEEE Transactions on Image Processing 15(9), 2694–2701 (2006)CrossRefGoogle Scholar
  8. 8.
    Weickert, J.: Coherence-enhancing diffusion filtering. International Journal of Computer Vision 31(2-3), 111–127 (1999)CrossRefGoogle Scholar
  9. 9.
    Abd-Elmoniem, K., Youssef, A.B., Kadah, Y.: Real-time Speckle Reduction and Coherence Enhancement in Ultrasound Imaging via Nonlinear Anisotropic Diffusion. IEEE Transactions on Biomedical Engineering 49(9), 997–1014 (2002)CrossRefGoogle Scholar
  10. 10.
    Krissian, K., et al.: Oriented speckle reducing anisotropic diffusion. IEEE Transactions on Image Processing 16(5), 1412–1424 (2007)CrossRefMathSciNetGoogle Scholar
  11. 11.
    Glavin, M., Jones, E.: Echocardiographic Speckle Reduction Comparison. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 58(1), 82–101 (2011)CrossRefGoogle Scholar
  12. 12.
    Wang, Z., et al.: Image Quality Assessment: From Error Visibility to Structural Similarity. IEEE Transactions on Image Processing 13(4), 600–612 (2004)CrossRefGoogle Scholar
  13. 13.
    Narayan, S.K., Wahidabanu, R.S.D.: Despeckling of Medical Diagonostic Ultrasound Images via Laplacian Based Mixed PDE. In: IEEE International Conference on Communication and Control Computing Technologies (ICCCCT), pp. 525–530 (2010)Google Scholar
  14. 14.
    Kalaivani, S., Wahidabanu, R.S.D.: Condensed Anisotropic Diffusion for Speckle Reducton and Enhancement in Ultrasonography. EURASIP Journal on Image and Video Processing 12, 1687–5281 (2012)Google Scholar
  15. 15.
    Gonzalez, R., Woods, R.: Digital Image Processing, 3rd edn. Pearson Prentice Hall Press, New York (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Anurag Gupta
    • 1
    Email author
  • Anubhav Tripathi
    • 1
  • Vikrant Bhateja
    • 1
  1. 1.Deptt. of Electronics and Communication EngineeringShri Ramswaroop Memorial Group of Professional CollegesLucknowIndia

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