MAP Interpolation of an Ising Image Block
暂无分享,去创建一个
[1] R. Krishnamoorthi,et al. Image compression based on a family of stochastic models , 2007, Signal Process..
[2] Thrasyvoulos N. Pappas. An adaptive clustering algorithm for image segmentation , 1992, IEEE Trans. Signal Process..
[3] David L. Neuhoff,et al. Image interpolation from Manhattan cutset samples via orthogonal gradient method , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[4] Maurice Queyranne,et al. On the structure of all minimum cuts in a network and applications , 1982, Math. Program..
[5] Søren Forchhammer,et al. Adaptive partially hidden Markov models with application to bilevel image coding , 1999, IEEE Trans. Image Process..
[6] D. Greig,et al. Exact Maximum A Posteriori Estimation for Binary Images , 1989 .
[7] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[8] Matthew G. Reyes,et al. Row-centric lossless compression of Markov images , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).
[9] Dongming Zhao,et al. Multiresolution image compression using Gaussian Markov random fields , 1993, Proceedings of 36th Midwest Symposium on Circuits and Systems.
[10] Aleksandra Pizurica,et al. Context-Aware Patch-Based Image Inpainting Using Markov Random Field Modeling , 2015, IEEE Transactions on Image Processing.
[11] Matthew G. Reyes,et al. Cutset width and spacing for Reduced Cutset Coding of Markov random fields , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).
[12] Mihalis Yannakakis,et al. Suboptimal Cuts: Their Enumeration, Weight and Number (Extended Abstract) , 1992, ICALP.
[13] R. Baxter. Exactly solved models in statistical mechanics , 1982 .
[14] Matthew G. Reyes,et al. Lossy Cutset Coding of Bilevel Images Based on Markov Random Fields , 2014, IEEE Transactions on Image Processing.