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
- 広帯域信号用帯域分割型スペ-スダイバ-シチの特性--遅延検波OFDM方式の移動受信特性改善
- 広帯域信号移動受信用帯域分割型ダイバーシチ合成受信方式の特性 : OFDM移動受信における特性改善例
- 広帯域信号用帯域分割型ダイバーシチ合成受信方式の特性 : OFDM移動受信における特性改善例
- 放送におけるCDMの応用 : SS多重による階層伝送の実現
- 3)CDMによる階層的テレビジョン伝送装置の開発([放送現業研究会無線・光伝送研究会]合同)