用細(xì)胞神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)圖像恢復(fù)的一種新方法
A NEW APPROACH FOR IMAGE RESTORATION BASED ON CELLULAR NEURAL NETWORK
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摘要: 文中提出并討論了用細(xì)胞神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)圖象最大熵恢復(fù)的可能性，并基于對最大熵方法的物理實(shí)質(zhì)分析推出了相應(yīng)細(xì)胞神經(jīng)網(wǎng)絡(luò)模板的新設(shè)計(jì)方法，針對二值圖象的恢復(fù)問題進(jìn)行了計(jì)算機(jī)仿真，結(jié)果證明了這一方法是可行的。Abstract: A new approach for image restoration based on Cellular Neural Network(CNN) is proposed. The physical meaning of Maximum Entropy (ME) is analyzed and a new template is proposed for ME binary image restoration. The result of computer simulation proves this approach is reasonable.
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