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首页> 外文期刊>Journal of visual communication & image representation >Content-aware detection of JPEG grid inconsistencies for intuitive image forensics
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Content-aware detection of JPEG grid inconsistencies for intuitive image forensics

机译：基于内容的JPEG网格不一致检测可实现直观的图像取证

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摘要

The paper proposes a novel method for detecting indicators of image forgery by locating grid alignment abnormalities in JPEG compressed image bitmaps. The method evaluates multiple grid positions with respect to a fitting function, and areas of lower contribution are identified as grid discontinuities and possibly tampered areas. An image segmentation step is introduced to differentiate between discontinuities produced by tampering and those that are attributed to image content, making the output maps easier to interpret by suppressing non-relevant activations. Our evaluations, on both synthetically produced datasets and real world tampering cases against seven methods from the literature, highlight the effectiveness of the proposed method in its ability to produce output maps that are clear and readable, and which can achieve successful detections on cases where other algorithms fail.
机译：提出了一种通过定位JPEG压缩图像位图中的网格对齐异常来检测图像伪造指标的新方法。该方法相对于拟合函数评估多个网格位置，并且将贡献较低的区域标识为网格不连续，并且可能是篡改区域。引入了图像分割步骤以区分由篡改产生的不连续性和归因于图像内容的不连续性，从而通过抑制无关的激活使输出图更易于解释。我们对综合产生的数据集和现实世界中的篡改案例进行了评估，采用文献中的7种方法，突显了所提方法在生成清晰易读的输出图的能力方面的有效性，并且可以成功检测出其他情况下的案例。算法失败。

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