CHANG Xia, JIAO Licheng, LIU Fang, SHA Yuheng. SAR Image Despeckling Using Scale Mixtures of Gaussians in the Nonsubsampled Contourlet Domain[J]. Chinese Journal of Electronics, 2015, 24(1): 205-211.
Citation: CHANG Xia, JIAO Licheng, LIU Fang, SHA Yuheng. SAR Image Despeckling Using Scale Mixtures of Gaussians in the Nonsubsampled Contourlet Domain[J]. Chinese Journal of Electronics, 2015, 24(1): 205-211.

SAR Image Despeckling Using Scale Mixtures of Gaussians in the Nonsubsampled Contourlet Domain

Funds:  This work is supported by the National Natural Science Foundation of China (No.61102008, No.61102095, No.61163017, No.61173090, No.61261043, No.61440044), the Open Research Fund Program of Key Laboratary of Intelligent Perception and Image Understanding of Ministry of Education of China (No.IPIU012011006, No.IPIU01201108), the Science Research Project of Beifang University of Nationalities (No.2100Y021), and the Ningxia Science Foundation of China (No.NZ13097).
  • Received Date: 2013-05-01
  • Rev Recd Date: 2013-08-01
  • Publish Date: 2015-01-10
  • The edge and contour details in SAR images are important for subsequent processing tasks. The multiscale geometric analysis method —— Nonsubsampled contourlet transform (NSCT) is able to capture the geometric information of SAR images effectively. Describing the aggregation behavior of the neighborhoods coefficients, the scale mixtures of Gaussians model has exhibited favorable performances. A novel SAR image despeckling method is presented by constructing the scale mixtures of Gaussians model of NSCT. This method models the SAR images using the multiscale and multidirection information in NSCT domain. The dependency relationship of NSCT neighborhoods coefficients are also taken into consideration in our model. The speckle noise coefficients are shrinkaged by statistical prior estimation based on SAR image model constructed. Experimental results demonstrate that our method is advantageous at directional information preservation and the speckle restraint.
  • loading
  • J.S. Lee, "Speckle analysis and smoothing of synthetic aperture radar images", Computer Graphics and Image Processing, Vol.17, No.1, pp.24-32, 1981.
    S. Parrilli, M. Poderico, C. V. Angelino and L. Verdoliva, "A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage", IEEE Transactions on Geoscience Remote Sensing, Vol.50, No.2, pp.606-616, 2012.
    L.C. Jiao and S. Tan, "Development and prospect of image multiscale geometric analysis", Acta Electrorica Sinica, Vol.31, No.12A, pp.1975-1981, 2003. (in Chinese)
    X. Chang, L.C. Jiao, F. Liu and Y.H. Sha, "SAR image despeckling based on the estimation of speckle variance in nonsubsampled contourlet domain", Acta Electrorica Sinica, Vol.38, No.6, pp.1328-1333, 2010. (in Chinese)
    H.X. Feng, B. Hou, L.C. Jiao and X.M. Bu, "SAR image despeckling based on local Gaussian model MAP in NSCT domain", Acta Electrorica Sinica, Vol.38, No.4, pp.811-816, 2010. (in Chinese)
    Y. Li, H. Gong, D. Feng and Y. Zhang, "An adaptive method of speckle reduction and feature enhancement for SAR images based on curvelet transform and particle swarm optimization", IEEE Transactions on Geoscience Remote Sensing, Vol.49, No.8, pp.3105-3116, 2011.
    A.L. Cunha, J. Zhou and M.N. Do, "The nonsubsampled contourlet transform: Theory, design, and applications", IEEE Transactions on Image Processing, Vol.15, No.10, pp.3089- 3101, 2006.
    J. Portilla, V. Strela, M.J.Wainwright and E.P. Simoncelli, "Image denoising using scale mixtures of gaussians in the wavelet domain", IEEE Transactions on Image Processing, Vol.12, No.11, pp.1338-1339, 2003.
    D.K. Hammond and E.P. Simoncelli, "Image modeling and denoising with orientation-adapted Gaussian scale mixtures", IEEE Transactions on Image Processing, Vol.17, No.11, pp.2089-2101, 2008.
    S. Foucher, G.B. Bénié and J.-M. Boucher, "Multiscale MAP filtering of SAR images", IEEE Transactions on Image Processing, Vol.10, No.1, pp.49-60, 2001.
    Y. Yu and S.T. Acton, "Speckle reducing anisotropic diffusion", IEEE Transactions Signal Processing, Vol.11, No.11, pp.1260- 1270, 2002.
    H. Xie, L.E. Pierce and F.T. Ulaby, "SAR speckle reduction using wavelet denoising and Markov random field modeling", IEEE Transactions on Geoscience Remote Sensing, Vol.40, No.10, pp.2196-2212, 2002.
    A. Cohen and I. Daubechies, "Nonseparable bidimensional wavelet bases", Revista Matematica Iberoamericana, Vol.9, No.1, pp.51-137, 1993.
    Z. Wang, A.C. Bovik, H.R. Sheikh and E.P. Simoncelli, "Image quality aasessment: From error visibility to structural similarity", IEEE Transactions on Image Processing, Vol.13, No.4, pp.600-612, 2004.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (191) PDF downloads(821) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return