New Gibbs sampling algorithm with application to texture synthesis

Rong Chen; Xiaojun Liu; Mouyan Zou

doi:10.1117/12.323659

25 September 1998 New Gibbs sampling algorithm with application to texture synthesis

Rong Chen, Xiaojun Liu, Mouyan Zou

Proceedings Volume 3545, International Symposium on Multispectral Image Processing (ISMIP'98); (1998) https://doi.org/10.1117/12.323659
Event: International Symposium on Multispectral Image Processing, 1998, Wuhan, China

Abstract

We propose a new Gibbs sampling algorithm, the soft- criterion acceptance algorithm, and use it for the texture synthesis. The new algorithm combines the advantages of the ICM algorithm in computations and of the algorithm of simulated annealing (SA) in global convergence. As a result, it is computationally efficient in comparison with the Gibbs sampler by S. Geman and D. Geman. The key idea is that the difference of the maximum and minimum of the energy functions is used to construct a soft criterion for updating each pixel value in a probabilistic acceptance fashion that is similar to the SA. The algorithm is verified by computational experiments.

Citation Download Citation

Rong Chen, Xiaojun Liu, and Mouyan Zou "New Gibbs sampling algorithm with application to texture synthesis", Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); https://doi.org/10.1117/12.323659

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