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首页> 外文期刊>International Journal of Computer Vision >Digital image forgery detection based on lens and sensor aberration
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Digital image forgery detection based on lens and sensor aberration

机译:基于镜头和传感器像差的数字图像伪造检测

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摘要

A new approach to detecting forgery in digital photographs is suggested. The method does not necessitate adding data to the image (such as a Digital Watermark) nor require other images for comparison or training. The fundamental assumption in the presented approach is the notion that image features arising from the image acquisition process itself or due to the physical structure and characteristics of digital cameras, are inherent proof of authenticity and they are sensitive to image manipulation as well as being difficult to forge synthetically. Typically, such features do not affect image content nor quality and are often invisible to the inexperienced eye. The approach presented in this work is based on the effects introduced in the acquired image by the optical and sensing systems of the camera. Specifically, it exploits image artifacts that are due to chromatic aberrations as indicators for evaluating image authenticity.
机译:提出了一种检测数码照片中伪造品的新方法。该方法无需将数据添加到图像(例如数字水印),也不需要其他图像进行比较或训练。提出的方法的基本假设是这样的概念:由图像获取过程本身或由于数码相机的物理结构和特性而产生的图像特征是真实性的内在证明,并且它们对图像处理敏感并且难以对其进行识别。综合锻造。通常,这些特征不会影响图像内容或质量,并且通常对于经验不足的眼睛是不可见的。这项工作中提出的方法是基于照相机的光学和传感系统在获取的图像中引入的效果。具体而言,它利用由于色差引起的图像伪像作为评估图像真实性的指标。

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