基于QDCT馬爾科夫方法的彩色圖像拼接檢測
發(fā)布時間：2019-02-18 18:25
【摘要】：提出一種基于四元數離散余弦變換(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性,減少了圖像彩色信息的損失.將彩色圖像進行QDCT得到變換系數,然后使用四元數馬爾科夫方法提取特征,最后用支持向量機檢測拼接圖像.使用圖像庫CASIA TIDE v1.0和CASIA TIDE v2.0進行實驗,所得準確率分別達到98.75%和96.78%,表明該方法優(yōu)于大部分現有方法.
[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】： 南京信息工程大學計算機與軟件學院;
【基金】：國家自然科學基金(No.61772281,No.61272421,No.61232016,No.61402235,No.61502241) 江蘇省自然科學基金(No.BK20141006) 江蘇高校優(yōu)勢學科建設工程項目 大氣環(huán)境與裝備技術協同創(chuàng)新中心基金資助
【分類號】：TP391.41
[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】： 南京信息工程大學計算機與軟件學院;
【基金】：國家自然科學基金(No.61772281,No.61272421,No.61232016,No.61402235,No.61502241) 江蘇省自然科學基金(No.BK20141006) 江蘇高校優(yōu)勢學科建設工程項目 大氣環(huán)境與裝備技術協同創(chuàng)新中心基金資助
【分類號】：TP391.41
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