一種針對彩色圖像的泛盲掩密分析方案
A Universal Blind Steganalysis for Color Images
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摘要: 基于Farid(2002)年泛盲掩密分析算法對彩色圖像檢測的局限性，提出了新的泛盲掩密分析算法。該算法利用彩色圖像的亮度和色度進行分類特征矢量的選擇。通過矢量方向濾波技術(shù)(VDF)對圖像進行方向化處理，并以濾波前后圖像之間的矢量方向相關(guān)度為色度的分類特征。該方法大大減少了分類特征的數(shù)目，而且克服了Farid算法忽略RGB3個顏色通道間相關(guān)性的缺陷。分別利用該算法和Farid的算法對JSteg，F(xiàn)5和EZStego軟件掩密后的圖像進行檢測，比較實驗結(jié)果表明，對于不同長度的嵌入消息，該算法具有更好的檢測性能。Abstract: On the basis of the limitation of Farids universal blind steganalysis for color images, a new universal blind steganalysis scheme is proposed. In view of the luminance and the chrominance of the image, the class feature vector is extracted. A new approach is presented to extract the feature for the chrominance component that the image is directional processed using the vector directional filter, and then the vector direction correlation between the image and its directional filtered image is calculated. It reduces the number of the features enormously, and overcomes the fault of Farids scheme that neglects the inherent correlation between the RGB channels, which is propitious to simplify the design of classifier and to improve the performance of the classifier. Applying the scheme and Farids scheme to detecting the stego images produced by JSteg, F5, and EZStego respectively, the comparison of these simulation results shows that the scheme is quite more efficient for different size of messages embedded.
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