Bayes-optimal solution to inverse halftoning based on statistical mechanics of the Q-Ising model
スポンサーリンク
概要
- 論文の詳細を見る
On the basis of statistical mechanics of the Q-Ising model, we formulate the Bayesian inference to the problem of inverse halftoning, which is the inverse process of representing gray-scales in images by means of black and white dots. Using Monte Carlo simulations, we investigate statistical properties of the inverse process, especially, we reveal the condition of the Bayes-optimal solution for which the mean-square error takes its minimum. The numerical result is qualitatively confirmed by analysis of the infinite-range model. As demonstrations of our approach, we apply the method to retrieve a grayscale image, such as standard image Lena, from the halftoned version. We find that the Bayes-optimal solution gives a fine restored grayscale image which is very close to the original. In addition, based on statistical mechanics of the Q-Ising model, we are sucessful in constructing a practically useful method of inverse halftoning using the Bethe approximation.
論文 | ランダム
- 20-26 環境分解型被覆粒状肥料(5) : 低分子量ポリエチレン被覆肥料の連用試験について(20.肥料および施肥法)
- 人工ナノ構造による旋光性の発現 (特集 偏光)
- 20-3 環境分解型被覆粒状肥料(3) : ポリエステル樹脂被覆肥料(20.肥料および施肥法)
- 国民健康保険制度が抱える課題の解決に向けて--全国市長会意見書の概要 (特集 第2回市長フォーラム 破綻寸前の国民健康保険をどうするか--医療保険制度の一本化を踏まえた国保財政の基盤強化)
- 第2回市長フォーラム 破綻寸前の国民健康保険をどうするか--医療保険制度の一本化を踏まえた国保財政の基盤強化 (特集 第2回市長フォーラム 破綻寸前の国民健康保険をどうするか--医療保険制度の一本化を踏まえた国保財政の基盤強化)