一种柔性形态学参数对称对数图像处理新算法

doi:10.3969/j.issn.1001-2400.2017.05.005

Abstract

Abstract:

Synthetic Aperture Radar (SAR) imaging has the inherent random speckle noise, which seriously affects the quality of the SAR image, and it is very important to study the suppression of the speckle noise. In view of the fact that the traditional spot noise suppression method could not remove speckle noise while protecting the image texture information, a novel filtering algorithm is proposed based on the soft morphological and parameterized symmetric logarithmic image processing model. The proposed algorithm combines the flexibility of the order-statistic soft morphological operations and the characteristic of the parameterized symmetric logarithmic image processing model which establishes a parameterized symmetric structure processing part of the image, which can suppress speckle noise while protecting the texture information on the image. In order to validate the despecking performance of the proposed algorithm, we compare the effect of the filter with some of the existing filtering algorithms, and use some of the image evaluation parameters of the suppress speckle noise image to evaluate the performance of the SMPSLIP filtering algorithm. Experimental results show the effectiveness of this algorithm.

Key words: SAR image, speckle noise, SMPSLIP algorithm, soft morphological

NI Jie;WANG Junping;YANG Guoyu;WU Yao;MA Shuliang. New soft morphological parameterized symmetric logarithmic image processing filtering algorithm[J].Journal of Xidian University, 2017, 44(5): 25-31+45.

References

［1］ MA X S, SHEN H F, YANG J, et al. Polarimetric-spatial Classification of SAR Images Based on the Fusion of Multiple Classifiers［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(3): 1064-1074.
［2］ GAO F, XUE X S, SUN J P, et al. A SAR Image Despeckling Method Based on Two-dimensional S Transform Shrinkage［J］. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(5): 3025-3034.
［3］ FENG H X, HOU B, GONG M G. SAR Image Despeckling Based on Local Homogeneous-region Segmentation by Using Pixel-relativity Measurement［J］. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(7): 2724-2737.
［4］ MA X S, SHEN H F, ZHAO X L, et al. SAR Image Despeckling by the Use of Variational Methods with Adaptive Nonlocal Functionals［J］. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(6): 3421-3435.
［5］ YAHYA N, KAMEL N S, MALIK A S. Subspace-based Technique for Speckle Noise Reduction in SAR Images［J］. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(10): 6257-6271.
［6］ LI H C, HONG W, WU Y R, et al. Bayesian Wavelet Shrinkage with Heterogeneity-adaptive Threshold for SAR Image Despeckling Based on Generalized Gamma Distribution［J］. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(4): 2388-2402.
［7］ NI W P, GAO X B. Despeckling of SAR Image Using Generalized Guided Filter with Bayesian Nonlocal Means［J］. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 567-579. ［8］ MA X S, SHEN H F, ZHANG L P, et al. Adaptive Anisotropic Diffusion Method for Polarimetric SAR Speckle Fltering［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(3): 1041-1050.
［9］ RJICHI S, CHAABANE F, TUPIN F, et al. Morphological Filtering of SAR Interferometric Images［C］//Proceedings of the International Geoscience and Remote Sensing Symposium. Piscataway: IEEE, 2010: 1581-1584.
［10］ DENG G. An Entropy Interpretation of the Logarithmic Image Processing Model with Application to Contrast Enhancement［J］. IEEE Transactions on Image Processing, 2009, 18(5): 1135-1140.
［11］张广燕, 王俊平, 汪松, 等. 一种SLIP模型的图像增强新算法［J］. 西安电子科技大学学报，2014, 41(1): 105-109.
ZHANG Guangyan, WANG Junping, WANG Song, et al. New Image Enhancement Algorithm Based on the SLIP Model［J］. Journal of Xidian University, 2014, 41(1): 105-109.
［12］张广燕, 王俊平, 邢润森, 等. PSLIP新模型及在边缘检测和图像增强中的应用［J］. 电子学报，2015, 43(2): 377-382.
ZHANG Guangyan, WANG Junping, XING Runsen, et al. A New PSLIP Model and its Application in Edge Dection and Image Enhancement［J］. Acta Electronica Sinica, 2015, 43(2): 377-382.
［13］ KOOSHA M, HAJSADEGHI K, KHOSROW M. Fine Logarithmic Adaptive Soft Morphological Algorithm for Synthetic Aperture Radar Image Segmentation［J］. IET Image Processing, 2014, 8(2): 90-102.
［14］ SHIH F Y. Image Processing and Pattern Recognition Fundamentals and Techniques［M］. Piscataway: IEEE Press, 2010.
［15］ DEBAYLE J, PINOLI J C. General Adaptive Neighborhood Viscous Mathematical Morphology［C］//Lecture Notes in Computer Science: 6671. Heidelberg: Springer Verlag, 2011: 224-235.
［16］ PETROU M, SEVILLA P G. Image Processing: Dealing with Texture［M］. New York: Wiley Press, 2006.
［17］ DELLEPIANE S G, ANGIATI, E. Quality Assessment of Despeckled SAR Images［J］. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(2): 691-707.

[1]	MU Caihong;WU Shengcai;LIU Yi;PENG Peng;LIU Ruochen. SAR images change detection based on saliency map denoising in the NSCT domain [J]. Journal of Xidian University, 2018, 45(2): 19-25.
[2]	LIU Yi;MU Caihong;LIU Jing. Change detection for SAR images based on the particle swarm clustering algorithm using neighborhood information [J]. J4, 2015, 42(1): 187-193.
[3]	XU Yuelei;TIAN Song;LI Junwei;FENG Hongxiao. SAR image despeckling based on edge detection and the plural pervasion equation in the Shearlet domain [J]. J4, 2012, 39(6): 142-146+153.
[4]	ZHU Lei;SHUI Penglang;WU Aijing. New algorithm for reducing speckle noise in the SAR image [J]. J4, 2012, 39(2): 80-86.
[5]	MA Miao;LIANG Jianhui;GUO Min. SAR image thresholding segmentation based on the bacteria foraging algorithm [J]. J4, 2011, 38(6): 152-158+178.
[6]	LIU Dong;ZHANG Gong. Special target detection of the SAR image via exponential wavelet fractal [J]. J4, 2010, 37(2): 366-373+384.
[7]	SUN Qiang;JIAO Li-cheng;HOU Biao. SAR image despeckling using statistical priors in nonsubsampled contourlet transform domain [J]. J4, 2008, 35(1): 14-21.
[8]	MA Xiu-li;JIAO Li-cheng. Initialization-independent spectral clustering on the joint model [J]. J4, 2007, 34(5): 768-772.
[9]	WU Yan(1;2);SHEN Bo(2);LIAO Gui-sheng(1). [J]. J4, 2006, 33(5): 691-695.

New soft morphological parameterized symmetric logarithmic image processing filtering algorithm

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 9

Metrics

Comments

Recommended 10