Metropolis Monte Carlo annealing

Abolfazl M. Amini

doi:10.1117/12.390481

29 June 2000 Metropolis Monte Carlo annealing

Abolfazl M. Amini

Proceedings Volume 4041, Visual Information Processing IX; (2000) https://doi.org/10.1117/12.390481
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The Metropolis Monte Carlo (MMC) Annealing is presented. In this approach to deconvolution two Monte Carlo Procedure (MCP) are run at the same time. In one the blurred data is used as a distribution function for selection of pixels. And the second MCP decides whether to place a grain in the true data (true input) or not. We show that this approach improves the annealing procedure drastically as compared to selection of pixels one at a time or from a flat distribution. The blurred data is obtained by convolving a 24 points input signal that has three peaks with a 21 points wide Gaussian impulse response function. The Mean Squared Error (MSE) is used to compare the two techniques. The MSE is calculated by comparing the reconstructed input signal with the true input signal. The MSE in reconstructed blurred data performed by MMC is also plotted vs. Monte Carlo move. Finally, the reconstructed input signal by MMC techniques is given at MSE of 39.

Citation Download Citation

Abolfazl M. Amini "Metropolis Monte Carlo annealing", Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); https://doi.org/10.1117/12.390481

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