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Survey on passive methods of image tampering detection

机译:图像篡改检测无源方法调查

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Image security is a key issue in any field that makes use of digital images. Images have long been a part of forensic studies and law enforcement; for example images of criminals, images of crime scenes, biometric images, etc. With the advancement in digital imaging the usage of digital images in this particular field has become more pronounced. The huge development in digital image processing, as much as it has helped in the evolution of many new techniques in forensic studies, has also made image tampering easy. With the commercial availability of many state-of-the-art image editing tools, the authenticity of digital images has become a question. So the requirement of image tampering detection tools has been made inevitable. This paper presents a brief review of some of the latest passive tampering detection methods. A passive method is capable of detecting image forgery without any prior information about the image or its source and it detects tampering by identifying changes in the image properties like inconsistencies in lighting and changes in the mathematical properties of a raw digital image.
机译:图像安全性是使用数字图像的任何字段中的一个关键问题。图像长期以来一直是法医学和执法的一部分;例如,犯罪分子的图像,犯罪现场的图像,生物识别图像等。在数字成像中推进,该特定字段中数字图像的使用已经变得更加明显。数字图像处理的巨大发展,尽管有许多新技术在法医学研究中的演变中的发展,也使图像篡改变得容易。随着许多最先进的图像编辑工具的商业可用性,数字图像的真实性已成为一个问题。因此,图像篡改检测工具的要求是​​不可避免的。本文简要介绍了一些最新的被动篡改检测方法。无源方法能够在没有关于图像或其源的任何先前信息的情况下检测图像伪造,并且它通过识别图像属性中的变化而检测到篡改,如在原始数字图像的数学特性中的不一致状态。

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