Adaptive multiple super fast simulated annealing for stochastic microstructure reconstruction

Journal Article · Tue Jan 01 00:00:00 EST 2013 · International Journal of Theoretical and Applied Multiscale Mechanics

DOI:https://doi.org/10.1504/IJTAMM.2013.062161· OSTI ID:1314421

Ryu, Seun; Lin, Guang; Sun, Xin; Khaleel, Mohammad; Li, Dongsheng

Fast image reconstruction from statistical information is critical in image fusion from multimodality chemical imaging instrumentation to create high resolution image with large domain. Stochastic methods have been used widely in image reconstruction from two point correlation function. The main challenge is to increase the efficiency of reconstruction. A novel simulated annealing method is proposed for fast solution of image reconstruction. Combining the advantage of very fast cooling schedules, dynamic adaption and parallelization, the new simulation annealing algorithm increases the efficiencies by several orders of magnitude, making the large domain image fusion feasible.

• Research Organization: Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Environmental Molecular Sciences Lab. (EMSL)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-76RL01830
• OSTI ID: 1314421
• Report Number(s): PNNL-SA-87396; 44996
• Journal Information: International Journal of Theoretical and Applied Multiscale Mechanics, Vol. 2, Issue 4; ISSN 1755-9995
• Publisher: Inderscience Publishers
• Country of Publication: United States
• Language: English

Related Subjects

image reconstruction
adaptive multiple super fast simulated annealing
correlation function
image fusion
efficiency
Environmental Molecular Sciences Laboratory