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Exposing Digital Forgeries in Color Filter Array Interpolated Images

机译:在彩色滤光片阵列插值图像中暴露数字伪造品

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摘要

With the advent of low-cost and high-resolution digital cameras, and sophisticated photo editing software, digital images can be easily manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. Most digital cameras, for example, employ a single sensor in conjunction with a color filter array (CFA), and then interpolate the missing color samples to obtain a three channel color image. This interpolation introduces specific correlations which are likely to be destroyed when tampering with an image. We quantify the specific correlations introduced by CFA interpolation, and describe how these correlations, or lack thereof, can be automatically detected in any portion of an image. We show the efficacy of this approach in revealing traces of digital tampering in lossless and lossy compressed color images interpolated with several different CFA algorithms.
机译:随着低成本和高分辨率数码相机以及先进的照片编辑软件的出现,可以轻松地操纵和更改数字图像。尽管良好的伪造可能不会留下任何被篡改的视觉线索,但是它们可能会改变图像的基本统计信息。例如,大多数数码相机都将单个传感器与滤色器阵列(CFA)结合使用,然后对缺失的颜色样本进行插值以获得三通道彩色图像。这种插值法引入了特定的相关性,在篡改图像时可能会破坏这些相关性。我们对CFA插值法引入的特定相关性进行量化,并描述如何在图像的任何部分中自动检测到这些相关性或缺乏相关性。我们展示了这种方法在揭示无损和有损压缩彩色图像中数字篡改痕迹的有效性,该无损和有损压缩彩色图像使用几种不同的CFA算法进行插值。

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