The lossy nature of the JPEG compression leaves traces which are utilized by the forensic agents to identify the local tampering in the image. In this paper, a tricky anti-forensic method h...

An improved anti-forensics JPEG compression using Least Cuckoo Search algorithm

The invention relates to an image tampering detection method, an electronic apparatus and a readable storage medium. The method comprises the steps of performing preset compression and decompression processing on a to-be-detected image to obtain multiple image blocks corresponding to the to-be-detected image; according to a predetermined analysis algorithm, performing pixel compression frequency analysis on each image block to analyze whether each image block is tampered or not; and if yes, determining the to-be-detected image as a tampered image. According to the method, the accuracy of image tampering detection under the condition that the image blocks are tampered is improved.

Image tampering detection method, electronic apparatus and readable storage medium

The invention provides a video image authentication PS (photoshop) processing analysis technique, and belongs to a video image analysis technique. The video image authentication PS (photoshop) processing analysis technique is characterized by 1) knowing about the authenticity of a video image; 2) distinguishing whether the video image is processed through PS (photoshop); and 3) performing video image restoration analysis. The video image authentication PS (photoshop) processing analysis technique extracts the video image data and analyzes the video image data through a CCD data coupling device so as to find out the difference of each group of data about the video image continuity, wherein according to each group of data, the authenticity of the video image can be known and analyzed through the digital imaging principle. Moreover, the video image authentication PS (photoshop) processing analysis technique can distinguish whether the video image is processed through PS (photoshop), wherein the working principle is mainly established on the JPEG (Joint Photographic Experts Group) feature analysis technique.

Video image authentication PS (photoshop) processing analysis technique

The invention discloses a JPEG (joint photographic experts group) image primitiveness detection method based on a file header and a compressed parameter. The JPEG image primitiveness detection method includes steps of extracting N-dimensional characteristics from the file header and the compressed parameter of a to-be-detected imagine, with N being a positive integer, and setting characteristic values of the N-dimensional characteristics are A or B according to attributes of the characters; building a decision model; counting numbers of A or B occurring in the N-dimensional characteristics and setting a threshold value T, with T being a natural number, if the number of A larger than the threshold value T, determining that the imagine is not a primitive imagine, and otherwise, determining that the imagine is a primitive one; and detecting and judging the to-be-detected imagine according to the decision model. The JPEG image primitiveness detection method is adaptable to primitiveness identification for the JPEG image in multimedia forensics and has the advantages of simplicity, effectiveness and high detection accuracy.

JPEG (joint photographic experts group) image primitiveness detection method based on file header and compressed parameter

The invention relates to an image tampering region detection method based on secondary JPEG compression. A texture smooth region mask is introduced in order to solve the problem of the easy false detection of a texture smooth region of an image. By use of the mask and a JPEG error, a tampering probability graph is generated, so the problem of the false detection of the texture smooth region is solved. Meanwhile, in order to solve the problem of inaccurate estimation of a compression quality factor of a low-quality image, in the image tampering region detection method, a JPEG Ghosts characteristic obtained through recompression of the compression quality factor of the low-quality image is not directly used, but JPEG Ghosts characteristics under multiple compression quality factors are converted into tampering probability graphs and multiple remarkable tampering probability graphs are selected and combined into a tampering probability graph. According to the image tampering region detection method, the robustness is strong, false detection is less and computing speed is fast.

Image tampering region detection method based on secondary JPEG compression

The invention discloses a method for detecting tampering operation of quantization tables of JPEG pictures. The method comprises the following steps of selecting the JPEG pictures as original JPEG pictures, tampering with the quantization tables of the original JPEG pictures to obtain JPEG pictures with the tampered quantization tables; extracting characteristics of the original JPEG pictures and characteristics of the JPEG pictures with the tampered quantization tables; carrying out training on a classifier according to the extracted characteristics of the original JPEG pictures and the extracted characteristics of the JPEG pictures with the tampered quantization tables so as to obtain a classifier model; extracting characteristics of a picture to be detected, and judging whether a quantization table of the picture to be detected is tampered with or not according to the classifier model. The method for detecting tampering operation of the quantization tables of the JPEG pictures can serve as a technology for identifying the JPEG pictures with the tampered quantization tables, provide an effective and automatic means for detection of malicious picture tampering operation, and have wide application prospects in the aspect of judicature, the aspect of criminal investigation evidence obtaining and the like.

Method for detecting tampering operation of quantization tables of JPEG pictures

Due to the popularity of JPEG compression standard, JPEG images have been widely used in various applications. Nowadays, detection of JPEG forgeries becomes an important issue in digital image forensics, and lots of related works have been reported. However, most existing works mainly rely on a pre-trained classifier according to the quantization table shown in the file header of the suspicious JPEG image, and they assume that such a table is authentic. This assumption leaves a potential flaw for those wise forgers to confuse or even invalidate the current JPEG forensic detectors. Based on our analysis and experiments, we found that the generalization ability of most current JPEG forensic detectors is not very good. If the quantization table changes, their performances would decrease significantly. Based on this observation, we propose a universal anti-forensic scheme via replacing the quantization table adaptively. The extensive experimental results evaluated on 10,000 natural images have shown the effectiveness of the proposed scheme for confusing four typical JPEG forensic works.

Chao Chen

Papers

Method for detecting tampering operation of quantization tables of JPEG pictures

Anti-forensics of JPEG Detectors via Adaptive Quantization Table Replacement