Primal sketch: Integrating structure and texture

[1]  Stphane Mallat,et al.  A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way , 2008 .

[2]  Arthur E. C. Pece,et al.  Contour tracking based on marginalized likelihood ratios , 2006, Image Vis. Comput..

[3]  Arthur E. C. Pece,et al.  The Problem of Sparse Image Coding , 2002, Journal of Mathematical Imaging and Vision.

[4]  Eero P. Simoncelli,et al.  A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients , 2000, International Journal of Computer Vision.

[5]  Lionel Moisan,et al.  Meaningful Alignments , 2000, International Journal of Computer Vision.

[6]  Song-Chun Zhu,et al.  Equivalence of Julesz Ensembles and FRAME Models , 2000, International Journal of Computer Vision.

[7]  Zhuowen Tu,et al.  Image Parsing: Unifying Segmentation, Detection, and Recognition , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[8]  P. Laguna,et al.  Signal Processing , 2002, Yearbook of Medical Informatics.

[9]  Gerhard Winkler,et al.  Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction , 2002 .

[10]  Tony F. Chan,et al.  Mathematical Models for Local Nontexture Inpaintings , 2002, SIAM J. Appl. Math..

[11]  Refractor.  Vision , 2000, The Lancet.

[12]  Gjlles Aubert,et al.  Mathematical problems in image processing , 2001 .

[13]  Leszek Wojnar,et al.  Image Analysis , 1998 .

[14]  S. Mallat.  A wavelet tour of signal processing , 1998 .

[15]  Song-Chun Zhu,et al.  Minimax Entropy Principle and Its Application to Texture Modeling , 1997, Neural Computation.

[16]  David J. Field,et al.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[17]  Steven W. Zucker,et al.  Local Scale Control for Edge Detection and Blur Estimation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  James R. Bergen,et al.  Pyramid-based texture analysis/synthesis , 1995, Proceedings., International Conference on Image Processing.

[19]  Gerhard Winkler,et al.  Image analysis, random fields and dynamic Monte Carlo methods: a mathematical introduction , 1995, Applications of mathematics.

[20]  Stéphane Mallat,et al.  Matching pursuits with time-frequency dictionaries , 1993, IEEE Trans. Signal Process..

[21]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[22]  D. Mumford,et al.  Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .

[23]  R A Young,et al.  The Gaussian derivative model for spatial vision: I. Retinal mechanisms. , 1988, Spatial vision.

[24]  D. Chandler,et al.  Introduction To Modern Statistical Mechanics , 1987 .

[25]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  J. Daugman.  Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[27]  T. Stephenson.  Image analysis , 1992, Nature.

[28]  B. Julesz.  Textons, the elements of texture perception, and their interactions , 1981, Nature.

[29]  J. Besag.  Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[30]  Béla Julesz,et al.  Visual Pattern Discrimination , 1962, IRE Trans. Inf. Theory.