Abstract
In this paper, a so-called edge-preserving self-snake model (EPSSM) that is able to remove noise while preserving edge features will be built, and using wavelet and partial differential equation (PDE), an integrated algorithm of wavelet-based PDE (IAWP) of image denoising is proposed. In integrated algorithm, The EPSSM is firstly used to remove noise of an input image, then we decompose the processed image by wavelet transform and its three high frequency coefficients are filtered by the EPSSM, finally, denoised image is reconstructed using inverse wavelet transform. The denoising performance of two proposed algorithms is measured according to PSNR values, and the experiments show that our methods have a better performance than others.
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References
Shui, P.L., Zhou, Z.F., Li, J.X.: Image Denoising Algorithm via Best Wavelet Packet Base Using Wiener Cost Function. IET Image Process 1(3), 311–318 (2007)
Zhang, W., Yu, F., Guo, H.M.: Improved Adaptive Wavelet Threshold for Image Denoising. In: 2009 Chinese Control and Decision Conference, pp. 5958–5963 (2009)
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)
Gilboa, G., Sochen, N., Zeevi, Y.Y.: Image Enhancement And Denoising by Complex Diffusion Process. IEEE Trans. Patt. Anal. Mach. Intell. 26(8), 1020–1036 (2004)
Cao, Z.W., Zhang, X.Z.: PDE-Based Non-Linear Anisotropic Diffusion Techniques for Medical Image Denoising. In: 2012 Spring World Congress on Engineering and Technology, Xi’an, China, May 27-30 (2012), doi:10.1109/SCET.2012.6341990
Nadernejad, E., Forchhammer, S.: Wavelet-Based Image Enhancement Using Fourth Order PDE. In: IEEE International Symposium On Intelligent Signal Processing, pp. 116–121 (2011)
Azzabou, N., Paragios, N., Guichard, F.: Uniform and textured regions separation in natural images towards MPM adaptive denoising. In: Sgallari, F., Murli, A., Paragios, N. (eds.) SSVM 2007. LNCS, vol. 4485, pp. 418–429. Springer, Heidelberg (2007)
Blanc-Feraud, L., Charbonnier, P., Aubert, G., Barlaud, M.: Non-Linear Image Processing: Modeling And Fast Algorithm for Regularization with Edge Detection. In: Proceedings of the IEEE International Conference on Image Processing, vol. 1, pp. 474–477 (1995)
Xu, C., Tang, W.: A Wavelet And PDE Method for Optical Image Interpolation. In: 2nd International Conference on Information Science and Engineering, Hangzhou, China, pp. 3498–3501 (2010)
Qiu, Z., Yang, L., Lu, W.P.: A New Feature-Preserving Nonlinear Anisotropic Diffusion for Denoising Images Containing Blobs And Ridges. Pattern Recognition Letters 33(3), 319–330 (2012)
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Zhou, C., Lui, S., Yan, T., Tao, W. (2013). Image Denoising Algorithm Based on Edge-Preserving Self-Snake Model and Wavelet-Based PDE. In: Huang, DS., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds) Intelligent Computing Theories. ICIC 2013. Lecture Notes in Computer Science, vol 7995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39479-9_58
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DOI: https://doi.org/10.1007/978-3-642-39479-9_58
Publisher Name: Springer, Berlin, Heidelberg
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