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Abstract: This paper introduces scalable data parallel algorithms for image processing. Focusing on Gibbs and Markov Random Field model representation for textures, we present parallel algorithms for texture synthesis, compression, and maximum likelihood parameter estimation, currently implemented on Thinking Machines CM-2 and CM-5. (Update)
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...on Digital Signal Processing, vol. 1, Hellas, Santorini, Greece) pp. 67 70, IEEE Signal Processing Society, July 1997. Invited Paper. [6] R. Paget and D. Longsta#, Extracting the cliques from a neighbourhood system, IEE Proceedings Vision, Image and Signal Processing,...
...12, 13, 14, and 15, for a higher order model on the same set of images. Similarly, CM 2 timings for these estimates can be found in [2]. Tables 8 15 are given in Appendix C. 21 5 Texture Compression We implement an algorithm for compressing an image of a GMRF texture to...
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6: Two-dimensional Discrete Gaussian Markov Random Field Models for Image Processin.. (context) - Chellappa - 1985
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BibTeX entry: (Update)
D. A. Bader, J. J'aJ'a, and R. Chellappa. Scalable Data Parallel Algorithms for Texture Synthesis and Compression Using Gibbs Random Fields. Technical Report CS-TR-3123 and UMIACS-TR-93-80, UMIACS and Electrical Engineering, University of Maryland, College Park, MD, August 1993. http://citeseer.ist.psu.edu/article/bader93scalable.html More
@techreport{ bader93scalable,
author = "David A. Bader and Joseph Ja'Ja' and Rama Chellappa",
title = "Scalable Data Parallel Algorithms for Texture Synthesis and Compression using Gibbs Random Fields",
number = "CS-TR-3123",
year = "1993",
url = "citeseer.ist.psu.edu/article/bader93scalable.html" }
Citations (may not include all citations):223 IEEE Transactions on Pattern Analysis and Machine Intelligen.. (context) - Geman, Geman et al. - 1984
182 A Comparison of Sorting Algorithms for the Connection Machin.. - Blelloch, Leiserson et al. - 1991
178 The Connection Machine CM-5 Technical Summary (context) - Corporation, MA - 1992
164 The Network Architecture of the Connection Machine CM - Leiserson, Abuhamdeh et al. - 1992
156 Fat-Trees: Universal Networks for Hardware-Efficient Superco.. (context) - Leiserson - 1985
142 Markov Random Field Texture Models (context) - Cross, Jain - 1983
135 An Introduction to Parallel Algorithms (context) - J'aJ'a - 1992
116 Modeling and segmentation of noisy and textured images using.. (context) - Derin, Elliott - 1987
113 The Design and Analysis of Parallel Algorithms (context) - Akl - 1989
73 Introduction to Optimization (context) - Polyak - 1987
72 Random Field Models in Image Analysis (context) - Dubes, Jain - 1989
55 Classification of Textures Using Gaussian Markov Random Fiel.. (context) - Chellappa, Chatterjee - 1985
53 CMMD Reference Manual (context) - Corporation, MA - 1993
46 Randomized Routing on Fat-Trees - Greenberg, Leiserson - 1989
40 CMSSL for CM Fortran (context) - Corporation, MA - 1993
37 Simple Parallel hierarchical and relaxation algorithms for s.. (context) - Cohen, Cooper - 1987
26 Cooley - Tukey FFT on the Connection Machine - Johnsson, Krawitz - 1992
21 Two-Dimensional Discrete Gaussian Markov Random Field Models.. (context) - Chellappa - 1985
19 Communications Efficient MultiProcessor FFT - Johnsson, Jacquemin et al. - 1992
18 Stochastic and Deterministic Networks for Texture Segmentati.. (context) - Manjunath, Simchony et al. - 1990
16 Performance Evaluation of the CM-5 Interconnection Network - Lin, Tsang et al. - 1992
14 Texture Synthesis and Compression Using Gaussian-Markov Rand.. (context) - Chellappa, Chatterjee et al. - 1985
14 IRE Transactions on Information Theory (context) - Max, Minimum - 1960
12 Connection Machine Model CM-5 System Overview (context) - Palmer, Jr - 1992
12 Paris Reference Manual (context) - Corporation, MA - 1991
11 Scalable Data Parallel Algorithms for Texture Synthesis and .. - Bader, J'aJ'a et al. - 1993
10 Texture Synthesis Using 2-D Noncausal Autoregressive Models (context) - Chellappa, Kashyap - 1985
9 State-of-the-art in Parallel Nonlinear Optimization (context) - Lootsma, Ragsdell - 1988
6 Segmentation-based image compression (context) - Kwon, Chellappa - 1993
4 Compound Gauss-Markov Random Fields for Parallel Image Proce.. (context) - Jeng, Woods et al. - 1993
4 Univariate and Multivariate Random Field Models for Images (context) - Kashyap - 1980
3 The Use of Gibbs Distributions In Image Processing (context) - Derin - 1986
3 Relaxation Algorithms for MAP Estimation of Gray-Level Image.. (context) - Simchony, Chellappa et al. - 1990
3 Synthetic Generation and Estimation in Random Field Models o.. (context) - Chellappa, Kashyap - 1981
3 Markov Random Fields for Image Modelling & Analysis (context) - Cohen - 1986
3 the Estimation and Testing of Spacial Interaction in Gaussia.. (context) - Besag, Moran - 1975
3 The MIT Vision Machine: Progress in the Integration of Visio.. (context) - Poggio, Weinschall - 1993
2 On Two-Dimensional Markov Spectral Estimation (context) - Chellappa, Hu et al. - 1983
2 data layout for the CM (context) - Blelloch - 1993
2 Thermodynamics and Statistical Analysis of Gaussian Random F.. (context) - Kunsch - 1981
2 Two-Dimensional Discrete Markovian Random Fields (context) - Woods - 1972
2 Estimation and Choice of Neighbors in Spacial Interaction Mo.. (context) - Kashyap, Chellappa - 1983
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