An Image Filter Based on Multiobjective Genetic Algorithm and Shearlet Transformation
暂无分享,去创建一个
[1] Hamid Krim,et al. Edge detection and processing using shearlets , 2008, 2008 15th IEEE International Conference on Image Processing.
[2] E. Candès,et al. Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges , 2000 .
[3] Glenn R. Easley,et al. Shearlet-Based Total Variation Diffusion for Denoising , 2009, IEEE Transactions on Image Processing.
[4] Hamid Krim,et al. A Shearlet Approach to Edge Analysis and Detection , 2009, IEEE Transactions on Image Processing.
[5] Zhijie Wang,et al. Dynamic depression control of chaotic neural networks for associative memory , 2010, Neurocomputing.
[6] Kalyanmoy Deb,et al. Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems , 1999, Evolutionary Computation.
[7] H. Ishibuchi,et al. MOGA: multi-objective genetic algorithms , 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.
[8] Youxian Sun,et al. An estimation of the domain of attraction for recurrent neural networks with time-varying delays , 2008, Neurocomputing.
[9] Wang-Q Lim,et al. Optimally Sparse Image Representations using Shearlets , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.
[10] Wang-Q Lim,et al. Sparse multidimensional representation using shearlets , 2005, SPIE Optics + Photonics.
[11] Yrjö Neuvo,et al. Detail-preserving median based filters in image processing , 1994, Pattern Recognit. Lett..
[12] I. Johnstone,et al. Adapting to Unknown Smoothness via Wavelet Shrinkage , 1995 .
[13] Chang Liu,et al. Shearlet-Based Image Denoising Using Bivariate Shrinkage with Intra-band and Opposite Orientation Dependencies , 2009, 2009 International Joint Conference on Computational Sciences and Optimization.
[14] Amirhossein Firouzmanesh,et al. Image De-blurring Using Shearlets , 2012, 2012 Ninth Conference on Computer and Robot Vision.
[15] H. Gudbjartsson,et al. The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.
[16] Hui Sun,et al. Shearlet Threshold Denoising Method Based on Two Sub-swarm Exchange Particle Swarm Optimization , 2010, 2010 IEEE International Conference on Granular Computing.
[17] Xi Chen,et al. Shearlet-Based Adaptive Shrinkage Threshold for Image Denoising , 2010, 2010 International Conference on E-Business and E-Government.
[18] Tao Li,et al. Improved stability criteria of neural networks with time-varying delays: An augmented LKF approach , 2010, Neurocomputing.