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Conventional forgery localizing methods usually rely on different forgery footprints such as JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to locate manipulated regions. However, these methods have the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-06 Fahim Faisal Niloy , Kishor Kumar Bhaumik , Simon S. Woo

Nowadays, digital content is widespread and simply redistributable, either lawfully or unlawfully. For example, after images are posted on the internet, other web users can modify them and then repost their versions, thereby generating…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 K. K. Thyagharajan , G. Kalaiarasi

While image forensics is concerned with whether an image has been tampered with, image anti-forensics attempts to prevent image forensics methods from detecting tampered images. The competition between these two fields started long before…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Eren Tahir , Mert Bal

Detecting facial forgery images and videos is an increasingly important topic in multimedia forensics. As forgery images and videos are usually compressed into different formats such as JPEG and H264 when circulating on the Internet,…

Computer Vision and Pattern Recognition · Computer Science 2021-05-13 Shenhao Cao , Qin Zou , Xiuqing Mao , Zhongyuan Wang

Over the years, researchers have proposed various approaches to JPEG forgery detection and localization. In most cases, experimental evaluation was limited to JPEG quality levels that are multiples of 5 or 10. Each study used a different…

Multimedia · Computer Science 2019-01-23 Pawel Korus

The rapid progress in synthetic image generation and manipulation has now come to a point where it raises significant concerns for the implications towards society. At best, this leads to a loss of trust in digital content, but could…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 Andreas Rössler , Davide Cozzolino , Luisa Verdoliva , Christian Riess , Justus Thies , Matthias Nießner

Digitization of image was a revolutionary step for the fields of photography and Image processing as this made the editing of images much effortless and easier. Image editing was not an issue until it was limited to corrective editing…

Multimedia · Computer Science 2014-07-28 Minati Mishra , M. C. Adhikary

A large number of image forensics methods are available which are capable of identifying image tampering. But these techniques are not capable of addressing the anti-forensics method which is able to hide the trace of image tampering. In…

Multimedia · Computer Science 2013-03-12 M. S. Sreelakshmi , D. Venkataraman

In recent years, advanced image editing and generation methods have rapidly evolved, making detecting and locating forged image content increasingly challenging. Most existing image forgery detection methods rely on identifying the edited…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Hengrun Zhao , Yunzhi Zhuge , Yifan Wang , Lijun Wang , Huchuan Lu , Yu Zeng

Recently, image manipulation has achieved rapid growth due to the advancement of sophisticated image editing tools. A recent surge of generated fake imagery and videos using neural networks is DeepFake. DeepFake algorithms can create fake…

Computer Vision and Pattern Recognition · Computer Science 2022-06-01 Naciye Celebi , Qingzhong Liu , Muhammed Karatoprak

Tampering or forgery of digital documents has become widespread, most commonly through altering images without any malicious intent such as enhancing the overall appearance of the image. However, there are occasions when tampering of…

Cryptography and Security · Computer Science 2025-07-02 Gabriel Grobler , Sheunesu Makura , Hein Venter

Forged images have a ubiquitous presence in today's world due to ease of availability of image manipulation tools. In this letter, we propose a deep learning-based novel approach which utilizes the inherent relationship between DCT…

Image and Video Processing · Electrical Eng. & Systems 2020-03-23 Vinay Verma , Deepak Singh , Nitin Khanna

By applying artificial intelligence to image editing technology, it has become possible to generate high-quality images with minimal traces of manipulation. However, since these technologies can be misused for criminal activities such as…

Multimedia · Computer Science 2023-09-01 Jiwon Lee , Seungjae Jeon , Yunji Park , Jaehyun Chung , Doowon Jeong

Detecting manipulated facial images and videos is an increasingly important topic in digital media forensics. As advanced face synthesis and manipulation methods are made available, new types of fake face representations are being created…

Computer Vision and Pattern Recognition · Computer Science 2020-10-27 Hao Dang , Feng Liu , Joel Stehouwer , Xiaoming Liu , Anil Jain

Digital image forensics aims to detect images that have been digitally manipulated. Realistic image forgeries involve a combination of splicing, resampling, region removal, smoothing and other manipulation methods. While most detection…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Lakshmanan Nataraj , Michael Goebel , Tajuddin Manhar Mohammed , Shivkumar Chandrasekaran , B. S. Manjunath

Digital media (e.g., photographs, video) can be easily created, edited, and shared. Tools for editing digital media are capable of doing so while also maintaining a high degree of photo-realism. While many types of edits to digital media…

Computer Vision and Pattern Recognition · Computer Science 2022-10-27 Brian DeCann , Kirill Trapeznikov

In the field of digital image processing, JPEG image compression technique has been widely applied. And numerous image processing software suppose this. It is likely for the images undergoing double JPEG compression to be tampered.…

Multimedia · Computer Science 2018-06-06 Pengpeng Yang , Rongrong Ni , Yao Zhao

With the development and widespread application of digital image processing technology, image splicing has become a common method of image manipulation, raising numerous security and legal issues. This paper introduces a new splicing image…

Computer Vision and Pattern Recognition · Computer Science 2024-05-20 Ao Xiang , Jingyu Zhang , Qin Yang , Liyang Wang , Yu Cheng

Image splicing is a common form of image forgery. Such alterations may leave no visual clues of tampering. In recent works camera characteristics consistency across the image has been used to establish the authenticity and integrity of…

Computer Vision and Pattern Recognition · Computer Science 2011-05-25 H. R. Chennamma , Lalitha Rangarajan

In this paper, we investigate whether robust hashing has a possibility to robustly detect fake-images even when multiple manipulation techniques such as JPEG compression are applied to images for the first time. In an experiment, the…

Multimedia · Computer Science 2021-02-08 Miki Tanaka , Hitoshi Kiya