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TRANSFORM CODER CLASSIFICATION FOR DIGITAL IMAGE FORENSICS

机译:转换数字图像取证的编码器分类

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The area of non-intrusive forensic analysis has found many applications in the area of digital imaging. One unexplored area is the identification of source coding in digital images. In other words, given a digital image, can we identify which compression scheme was used, if any? This paper focuses on the aspect of transform coder classification, where we wish to determine which transform was used during compression. This scheme analyzes the histograms of coefficient subbands to determine the nature of the transform method. By obtaining the distance between the obtained histogram and the estimate of the original histogram, we can determine if the image was compressed using the transform tested. Results show that this method can successfully classify compression by transform as well as detect whether any compression has occurred at all in an image.
机译:非侵入式法医分析面积在数字成像区域中发现了许多应用。一个未开发的区域是数字图像中源编码的识别。换句话说,给定数字图像,我们是否可以识别使用哪种压缩方案,如果有的话?本文侧重于转换编码器分类的方面,我们希望确定在压缩期间使用了哪些变换。该方案分析系数子带的直方图以确定变换方法的性质。通过获得所获得的直方图与原始直方图的估计之间的距离,我们可以确定图像是否使用变换进行了压缩。结果表明,该方法可以通过变换成功分类压缩,并检测图像中是否发生了任何压缩。

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