【摘要】：提出一種基于四元數(shù)離散余弦變換(quaternion discrete cosine transform,QDCT)的拼接檢測方案.該方案充分利用了彩色圖像三通道之間的相關(guān)性,減少了圖像彩色信息的損失.將彩色圖像進(jìn)行QDCT得到變換系數(shù),然后使用四元數(shù)馬爾科夫方法提取特征,最后用支持向量機(jī)檢測拼接圖像.使用圖像庫CASIA TIDE v1.0和CASIA TIDE v2.0進(jìn)行實(shí)驗(yàn),所得準(zhǔn)確率分別達(dá)到98.75%和96.78%,表明該方法優(yōu)于大部分現(xiàn)有方法.
[Abstract]:A splicing detection scheme based on quaternion discrete cosine transform (quaternion discrete cosine transform,QDCT) is proposed. This scheme makes full use of the correlation between the three channels of color images and reduces the loss of color information. The transform coefficients are obtained by QDCT, then the features are extracted by quaternion Markov method, and finally the stitched images are detected by support vector machine (SVM). The experimental results using image library CASIA TIDE v1.0 and CASIA TIDE v2.0 show that the accuracy of this method is 98.75% and 96.78% respectively, which indicates that this method is superior to most existing methods.
【作者單位】： 南京信息工程大學(xué)計(jì)算機(jī)與軟件學(xué)院;
【基金】：國家自然科學(xué)基金(No.61772281,No.61272421,No.61232016,No.61402235,No.61502241) 江蘇省自然科學(xué)基金(No.BK20141006) 江蘇高校優(yōu)勢學(xué)科建設(shè)工程項(xiàng)目 大氣環(huán)境與裝備技術(shù)協(xié)同創(chuàng)新中心基金資助
【分類號】：TP391.41

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