Modeling the joint statistics of images in the wavelet domain
暂无分享,去创建一个
[1] William Bialek,et al. Statistics of Natural Images: Scaling in the Woods , 1993, NIPS.
[2] Bruno A. Olshausen,et al. Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework , 1998, NIPS.
[3] Jean-Francois Cardoso,et al. Source separation using higher order moments , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[4] Eero P. Simoncelli. Statistical models for images: compression, restoration and synthesis , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).
[5] Eero P. Simoncelli,et al. Texture characterization via joint statistics of wavelet coefficient magnitudes , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).
[6] Alex Pentland,et al. Fractal-Based Description of Natural Scenes , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Eero P. Simoncelli. Bayesian Denoising of Visual Images in the Wavelet Domain , 1999 .
[8] D. Donoho,et al. Translation-Invariant De-Noising , 1995 .
[9] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[10] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[11] Martin J. Wainwright,et al. Scale Mixtures of Gaussians and the Statistics of Natural Images , 1999, NIPS.
[12] Eero P. Simoncelli,et al. Texture Representation and Synthesis Using Correlation of Complex Wavelet Coefficient Magnitudes , 1999 .
[13] D. Field,et al. Natural image statistics and efficient coding. , 1996, Network.
[14] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[15] Eero P. Simoncelli,et al. Image compression via joint statistical characterization in the wavelet domain , 1999, IEEE Trans. Image Process..
[16] Edward H. Adelson,et al. Noise removal via Bayesian wavelet coring , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[17] D J Field,et al. Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[18] Anil K. Jain,et al. Markov Random Field Texture Models , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] J. H. van Hateren,et al. Modelling the Power Spectra of Natural Images: Statistics and Information , 1996, Vision Research.
[20] Rama Chellappa,et al. Texture classification using features derived from random field models , 1982, Pattern Recognit. Lett..
[21] M. Hassner,et al. The use of Markov Random Fields as models of texture , 1980 .
[22] I. Johnstone,et al. Ideal denoising in an orthonormal basis chosen from a library of bases , 1994 .
[23] E. Oja,et al. Independent Component Analysis , 2013 .