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Digital image tampering detection and localization using singular value decomposition technique

机译:利用奇异值分解技术进行数字图像篡改检测与定位

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Recent years have witnessed an exponential growth in the use of digital images due to development of high quality digital cameras and multimedia technology. Easy availability of image editing software has made digital image processing very popular. Ready to use software are available on internet which can be easily used to manipulate the images. In such an environment, the integrity of the image can not be taken for granted. Malicious tampering has serious implication for legal documents, copyright issues and forensic cases. Researchers have come forward with large number of methods to detect image tampering. The proposed method is based on hash generation technique using singular value decomposition. Design of an efficient hash vector as proposed will help in detection and localization of image tampering. The proposed method shows that it is robust against content preserving manipulation but extremely sensitive to even very minute structural tampering.
机译:近年来,由于高质量数码相机和多媒体技术的发展,数字图像的使用呈指数增长。易于使用的图像编辑软件使数字图像处理变得非常流行。 Internet上提供了随时可用的软件,可以轻松地使用它们来处理图像。在这样的环境中,图像的完整性不能被认为是理所当然的。恶意篡改对法律文件,版权问题和法医案件具有严重影响。研究人员提出了许多检测图像篡改的方法。所提出的方法基于使用奇异值分解的哈希生成技术。所提出的有效散列向量的设计将有助于图像篡改的检测和定位。所提出的方法表明,它对内容保留操作具有鲁棒性,但对非常微小的结构篡改也非常敏感。

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