{'fraction_non_alphanumeric': 0.01844532279314888, 'fraction_numerical': 0.0, 'mean_word_length': 5.178861788617886, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Probabilistic Inference to the Problem of Inverse-halftoning based on Statistical Mechanics of Spin Systems

On the basis of statistical mechanics of spin systems, we formulate the problem of inverse-halftoning using the maximizer of the posterior marginal (MPM) estimate for halftone images which are generated both by the threshold mask method and the clustered-dot dither method. Then, the Monte Carlo simulation for a halftone image clarifies that the MPM estimate works well for inverse-halftoning, if we appropriately set parameters of the Boltzmann factor of the ferromagnetic Q-Ising model used for the model prior. Also, we reveal the result that inverse-halftoning is achieved in inner area of the threshold mask more accurately than on the boundary