Image Denoising Algorithm Based on Edge-Preserving Self-Snake Model and Wavelet-Based PDE

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.

[1]  Knut-Andreas Lie,et al.  Scale Space and Variational Methods in Computer Vision, Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings , 2009, SSVM.

[2]  P. Shui,et al.  Image denoising algorithm via best wavelet packet base using Wiener cost function , 2007 .

[3]  Nikos Paragios,et al.  Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising , 2007, SSVM.

[4]  Soren Forchhammer,et al.  Wavelet-based image enhancement using fourth order PDE , 2011, 2011 IEEE 7th International Symposium on Intelligent Signal Processing.

[5]  Yehoshua Y. Zeevi,et al.  Image enhancement and denoising by complex diffusion processes , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Zhiwen Cao,et al.  PDE-Based Non-Linear Anisotropic Diffusion Techniques for Medical Image Denoising , 2012, 2012 Spring Congress on Engineering and Technology.

[8]  Lei Yang,et al.  A new feature-preserving nonlinear anisotropic diffusion for denoising images containing blobs and ridges , 2012, Pattern Recognit. Lett..

[9]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Wei Zhang,et al.  Improved adaptive wavelet threshold for image denoising , 2009, 2009 Chinese Control and Decision Conference.

[11]  M. Barlaud,et al.  Nonlinear image processing: modeling and fast algorithm for regularization with edge detection , 1995, Proceedings., International Conference on Image Processing.