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An Optimized Anisotropic Diffusion Approach for Despeckling of SAR Images

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Digital Connectivity – Social Impact (CSI 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 679))

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Abstract

This paper focuses to address the suppression of residual speckle content, thereby leading to performance improvement of Anisotropic Diffusion (AD) filtering. The present work proposes an optimized AD filtering approach for despeckling of Synthetic Aperture Radar (SAR) images using Ant Colony Optimization (ACO). The residual speckle suppression has been attained via optimal parameter selection of parameters of AD using ACO algorithm. Further, computation of conductance function via eight-directional gradients (derivatives) leads to effective edge preservation during despeckling. During simulations, the fidelity of restored SAR images is validated using PSNR and SSIM as image quality metrics.

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References

  1. Lu, Y., Gao, Q., Sun, D., Xia, Y., Zhang, D.: SAR speckle reduction using Laplace mixture model and spatial mutual information in the directionlet domain. Neurocomputing 173, 633–644 (2016)

    Article  Google Scholar 

  2. Morandeira, N.S., Grimson, R., Kandus, P.: Assessment of SAR speckle filters in the context of object-based image analysis. Remote Sens. Lett. 7(2), 150–159 (2016)

    Article  Google Scholar 

  3. Chan, Y.K., Koo, V.C.: An introduction to synthetic aperture radar (SAR). J. Prog. Electromag. Res. B 2, 27–60 (2008)

    Article  Google Scholar 

  4. Singh S., Jain A., Bhateja V.: A comparative evaluation of various despeckling algorithms for medical images. In: Proceedings of (ACMICPS) CUBE International Information Technology Conference & Exhibition, Pune, India, pp. 32–37 (2012)

    Google Scholar 

  5. Sharma, A., Bhateja, V., Tripathi, A.: An improved Kuan algorithm for despeckling SAR images. Inf. Syst. Des. Intell. Appl. 434, 663–672 (2016)

    Google Scholar 

  6. Bhateja, V., Tripathi, A., Gupta, A.: An improved local statistics filter for denoising of SAR images. In: Proceeding of 2nd International Symposium on Intelligent Informatics (ISI 2013), Mysore, India, vol. 235, pp. 23–29 (2013)

    Google Scholar 

  7. Biradar, N., Dewal, M.L., Rohit, M.K.: A novel hybrid homomorphic fuzzy filter for speckle noise reduction. Biomed. Eng. Lett. 4(2), 176–185 (2014)

    Article  Google Scholar 

  8. Bhateja, V., Tripathi, A., Gupta, A., Lay-Ekuakille, A.: Speckle suppression in SAR images employing modified anisotropic diffusion filtering in wavelet domain for environment monitoring. Measurement 74, 246–254 (2015)

    Article  Google Scholar 

  9. Touzi, R.: A review of speckle filtering in the context of estimation theory. IEEE Trans. Geosci. Remote Sens. 40(11), 2392–2404 (2002)

    Article  Google Scholar 

  10. Bhateja, V., Rastogi, K., Verma, A., Malhotra, C.: A non-iterative adaptive median filter for image denoising. In: 2014 International Conference on Signal Processing and Integrated Networks (SPIN), pp. 113–118. IEEE February 2014

    Google Scholar 

  11. Lee, I.K., Shamsoddini, A., Li, X., Trinder, J.C., Li, Z.: Extracting hurricane eye morphology from spaceborne SAR images using morphological analysis. ISPRS J. Photogram. Remote Sens. 117, 115–125 (2016)

    Article  Google Scholar 

  12. Argenti, F., Lapini, A., Bianchi, T., Alparone, L.: A tutorial on synthetic aperture radar images. IEEE Geosci. Remote Sens. Mag. 1(3), 6–35 (2013)

    Article  Google Scholar 

  13. Perona, P., Malik, J.: Scale space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990)

    Article  Google Scholar 

  14. Bhateja, V., Singh, G., Srivastava, A., Singh, J.: Despeckling of ultrasound images using non-linear conductance function. In: Proceedings of (IEEE) International Conference of Signal Processing and Integrated Networks (SPIN-2014), Noida (U.P.), India, pp. 722–726 (2014)

    Google Scholar 

  15. Bhateja, V., Sharma, A., Tripathi, A., Satapathy, S.C.: Modified non linear diffusion approach for multiplicative noise. In: Proceedings of 5th International Conference on frontiers of Intelligent Computing Theory and Applications (FICTA-2016), pp. 1–8, September 2016

    Google Scholar 

  16. Yu, Y., Acton, S.T.: Speckle reducing anisotropic diffusion. IEEE Trans. Image Process. 11(11), 1260–1270 (2002)

    Article  MathSciNet  Google Scholar 

  17. Aja-Fernández, S., Alberola-López, C.: On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering. IEEE Trans. Image Process. 15(9), 2694–2701 (2006)

    Article  Google Scholar 

  18. Krissian, K., et al.: Oriented speckle reducing anisotropic diffusion. IEEE Trans. Image Process. 16(5), 1412–1424 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  19. Gupta, A., Tripathi, A., Bhateja, V.: Despeckling of SAR images via an improved anisotropic diffusion algorithm. In: Satapathy, S.C., Udgata, Siba K., Biswal, B.N. (eds.) FICTA 2013. AISC, vol. 199, pp. 747–754. Springer, Heidelberg (2013). doi:10.1007/978-3-642-35314-7_85

    Chapter  Google Scholar 

  20. Blum, C.: Ant colony optimization: introduction and recent trends. Elsevier Phys. Life Rev. 2, 353–373 (2005)

    Article  Google Scholar 

  21. Marco, D., Birattari, M., Stützle, T.: Ant colony optimization. IEEE Comput. Intell. Mag. 1(4), 28–39 (2006)

    Article  Google Scholar 

  22. Gao, L., Gao, J., Li, J., Plaza, A., Zhuang, L., Sun, X., Zhang, B.: Multiple algorithm integration based on ant colony optimization for end member extraction from hyperspectral imagery. IEEE J. Select. Top. Appl. Earth Obs. Remote Sens. 8(6), 2569–2582 (2015)

    Article  Google Scholar 

  23. Bhateja, V., Misra, M., Urooj, S., Lay-Ekuakille, A.: Bilateral despeckling filter in homogeneity domain for breast ultrasound images. In: Proceedings of 3rd (IEEE) International Conference on Advance in Computing. Communication and Informatics (ICACCI-2014), Greater Noida (U.P.), India, pp. 1027–1032 (2015)

    Google Scholar 

  24. Tripathi, A., Bhateja, V., Sharma, A.: Kuan modified anisotropic diffusion approach for speckle filtering. In: Proceedings of (Springer) 1st International Conference on Intelligent Computing and Communication, (ICIC2-2016), Kalyani (W.B.), India, pp. 01–09, February 2016

    Google Scholar 

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, 226028, (UP), India

    Vikrant Bhateja, Aditi Sharma & Abhishek Tripathi

  2. Department of Computer Science and Engineering, ANITS, Visakhapatnam, (AP), India

    Suresh Chandra Satapathy

  3. Haiphong University, Haiphong, 180000, Vietnam

    Dac-Nhuong Le

Authors
  1. Vikrant Bhateja
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  2. Aditi Sharma
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  3. Abhishek Tripathi
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  4. Suresh Chandra Satapathy
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  5. Dac-Nhuong Le
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Corresponding author

Correspondence to Vikrant Bhateja .

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Editors and Affiliations

  1. Karpagam Academy of Higher Education, Coimbatore, India

    S. Subramanian

  2. PSG College of Technology, Coimbatore, India

    R. Nadarajan

  3. International Institute of Information Technology, Bengaluru, Karnataka, India

    Shrisha Rao

  4. Applied Mathematics and Computational Sciences, PSG College of Technology, Coimbatore, Tamil Nadu, India

    Shina Sheen

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Bhateja, V., Sharma, A., Tripathi, A., Satapathy, S.C., Le, DN. (2016). An Optimized Anisotropic Diffusion Approach for Despeckling of SAR Images. In: Subramanian, S., Nadarajan, R., Rao, S., Sheen, S. (eds) Digital Connectivity – Social Impact. CSI 2016. Communications in Computer and Information Science, vol 679. Springer, Singapore. https://doi.org/10.1007/978-981-10-3274-5_11

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  • DOI: https://doi.org/10.1007/978-981-10-3274-5_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3273-8

  • Online ISBN: 978-981-10-3274-5

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