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一种基于差分DCT系数对直方图的图像取证方法
An Image Forensic Algorithm Based on Differential Coefficient-Pair Histogram in DCT Domain
提出了一种基于差分DCT域系数对直方图的图像拼接篡改检测方法.该方法首先对图像进行DCT变换,而后分别计算DCT系数矩阵的水平、垂直、主对角线、副对角线四个方向的差分DCT系数矩阵,并对得到的差分DCT系数矩阵进行系数对直方图化,提取特征向量.最后,利用支持向量机对真实图像和篡改后的图像进行分类识别.实验结果表明,在相关的测试数据集上,和现存的一些算法相比,该方法不仅具有较低的计算复杂度,同时,其检测性能在目前所有提出的算法中达到最高,性能优良.
An image forensic method based on coefficient-pair histogram of differential DCT coefficient was proposed.In the method, the image is firstly transformed by DCT, and then the differential DCT coefficient of four directions, such as horizontal direction, vertical direction, diagonal direction and the second diagonal direction are computed.After that, the coefficient-pair histogram for each differential DCT coefficient is calculated.Finally, support vector machine (SVM) is used to classify the authentic and spliced image through training the feature vectors of authentic and that of tampered image.The experimental results show that the proposed approach not only has low computing complexity, but also outperforms all the state-of-the-art methods in detection rate on the same test database.
图像取证 / 差分DCT系数 / 系数对直方图 / 支持向量机 {{custom_keyword}} /
image forensics / differential DCT coefficient / coefficient-pair histogram / support vector machine {{custom_keyword}} /
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天津市自然科学基金重点项目 (No.11JCZDJC16000)
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