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Block-level double JPEG compression detection for image forgery localization
Forged images in JPEG format have a ubiquitous presence in today’s world due to the ease of availability of image manipulation tools. This paper...
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Forgery detection using polynomial fitting in recompressed JPEG images
Detection of double Joint photographic experts group (JPEG) compression is a major part of image forensics, especially double JPEG compression...
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Document Forgery Detection in the Context of Double JPEG Compression
In this paper, we propose a strategy to train a CNN to detect document manipulations in JPEG documents under data scarcity scenario. As it comes to...
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Analysis of large-deviation multifractal spectral properties through successive compression for double JPEG detection
Modern commercial software tools have the ability to deceive a viewer who is unable to determine whether the image content is authentic or not....
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Robust primary quantization step estimation on resized and double JPEG compressed images
As one of the most important forensic tasks, reconstruction of the original information in tampered images is a key step for tampering detection and...
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Real-time double JPEG forensics for mobile devices
Double JPEG compression is the most common process to hide image manipulation. Therefore, it becomes necessary to detect the double JPEG compression....
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A security JPEG image system accelerated by NEON technology based on FT-2000/4
With the development of network bandwidth and the explosive growth of information, the number of users transmitting images to the public cloud for...
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Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization
Detecting and localizing image manipulation are necessary to counter malicious use of image editing techniques. Accordingly, it is essential to...
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An image forensic technique based on JPEG ghosts
The unprecedented growth in the easy availability of photo-editing tools has endangered the power of digital images. An image was supposed to be...
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Robust JPEG steganography based on the robustness classifier
Because the JPEG recompression in social networks changes the DCT coefficients of uploaded images, applying image steganography in popular...
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Fast Attack Algorithm for JPEG Image Encryption with Block Position Shuffle
For traditional JPEG image encryption, block position shuffling can achieve a better encryption effect and is resistant to non-zero counting attack....
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A part-level learning strategy for JPEG image recompression detection
Recompression is a prevalent form of multimedia content manipulation. Different approaches have been developed to detect this kind of alteration for...
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Assessing the impact of JPEG compression on the semantic segmentation of agricultural images
Compression is a important issue when dealing with large amounts of data. We can reduce the size of a file by eliminating data, what is called lossy...
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Anti-forensics for Double JPEG Compression Based on Generative Adversarial Network
The JPEG standard is one of the most widely used image formats. If a JPEG image is tampered and saved in JPEG format again, it would lead to double...
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Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture
Estimating the primary quantization matrix of double JPEG compressed images is a problem of relevant importance in image forensics since it allows to...
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Modify the Quantization Table in the JPEG Header File for Forensics and Anti-forensics
As Joint Photographic Experts Group (JPEG) compression is widely used in image processing and computer vision, the detection of JPEG forgery has...
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jForge: An adversarial method to deceive JPEG forgery localization schemes
Automatic localization of tampered regions of a JPEG image has attracted lots of attention in recent times. It is known that the statistical...
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Chronological Dingo Optimizer-based Deep Maxout Network for skin cancer detection and skin lesion segmentation using Double U-Net
Skin cancer is a dreadful disease, which is mainly caused due to the heavy exposure of the human body to the ultraviolet rays emitted from the sun....
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A video codec based on background extraction and moving object detection
Cameras are the primary data sources in video surveillance systems and produce massive data every second. Video surveillance is an extremely...
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Estimating Previous Quantization Factors on Multiple JPEG Compressed Images
The JPEG compression algorithm has proven to be efficient in saving storage and preserving image quality thus becoming extremely popular. On the...
