Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2000-06-26
Physics
Condensed Matter
Disordered Systems and Neural Networks
27pages, 13figures, revtex
Scientific paper
10.1103/PhysRevE.64.036121
We investigate static and dynamic properties of gray-scale image restoration (GSIR) by making use of the Q-Ising spin glass model, whose ladder symmetry allows to take in account the distance between two spins. We thus give an explicit expression of the Hamming distance between the original and restored images as a function of the hyper-parameters in the mean field limit. Finally, numerical simulations for real-world pictures are carried out to prove the efficiency of our model.
Carlucci Domenico M.
Inoue Jun'ichi
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