Quantization table evaluation based method for detecting JPEG image tampering

Abstract

The invention discloses a quantization table evaluation based method for detecting JPEG image tampering, which is characterized by first selecting a plurality of sub-blocks of the images to be detected, respectively evaluating the quantization table of each image sub-block and comparing every two quantization tables, detecting whether the images to be detected are subjected to tampering operation of clipping, then dividing the images to be detected into blocks again and extracting the eigenvector of the quantization table of each image sub-block or the quantization table of each image sub-block according to whether the images to be detected are subjected to clipping, finally classifying the image blocks according to the difference between the eigenvectors of the quantization tables of adjacent image blocks or the quantization tables of adjacent image blocks, and judging whether the images are subjected to synthetic clipping operation and detecting the tampering areas. The method is established based on the quantization table evaluation algorithm with low complexity and high accuracy, can improve the efficiency of detecting tampering of images and can simultaneously detect tampering of the images subjected to clipping and synthesis to further improve the accurate rate of image detection.

Description

technical field [0001] The invention belongs to the technical field of multimedia information security, and in particular relates to a method for detecting tampering of JPEG images based on quantization table estimation, and the method is applied to passive authentication of JPEG images. Background technique [0002] In today's digital age, with the popularization of various low-cost image digital capture equipment and the wide application of simple image processing software, people can easily make a fake digital image, which is often difficult to distinguish with the naked eye. Authenticity of faked images. What is worth worrying about is that, with the convenience of digital image dissemination on the Internet, if these forged images are used in some sensitive areas, such as politics, military and justice, etc., it will have a negative impact on our social stability and even the security of the entire country. immeasurable impact. Therefore, authenticity authentication o...

AI Technical Summary

Problems solved by technology

At present, most of the passive authentication methods for JPEG images need to use support vector machines to train the extracted feature vectors, and then classify the images to be tested. Although such authentication methods can detect tampering of JPEG images, such Methods often require a large number of training samples to ensure the accuracy of detecting JPEG image tampering, and the computational complexity is high; in addition, the cropped JPEG image destroys the block grid, resulting in most methods not being able to detect image tampering

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