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A new stochastic image model based on Markov random fields and its application to texture modeling

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2 Author(s)
Yousefi, S. ; Dept. of Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA ; Kehtarnavaz, N.

Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is introduced in this paper which overcomes the shortcomings of the conventional models easing the computation of the joint density function of images. As an application, this model is used to generate texture patterns. The lower computational complexity and easily controllable parameters of the model makes it a more useful model as compared to the conventional Markov random field-based models.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Date of Conference:

22-27 May 2011

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