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International Journal of Engineering Applied Sciences and Technology, 2023
In the digital age, the ability to manipulate digital images has become increasingly sophisticated, making it challenging to detect and distinguish between authentic and forged images. Image forgery detection is an active and crucial area of research, with various methods and techniques being proposed to detect manipulated images. This paper provides a
Shivam Pandey +3 more
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In the digital age, the ability to manipulate digital images has become increasingly sophisticated, making it challenging to detect and distinguish between authentic and forged images. Image forgery detection is an active and crucial area of research, with various methods and techniques being proposed to detect manipulated images. This paper provides a
Shivam Pandey +3 more
+4 more sources
Physics Today, 1980
Art forgery is a complex subject; it has as much to do with the personality of the faker or the salesman who markets the spurious work as it has to do with the recapturing of some past technique or mood. And it is a subject that is still highly active today, despite the unquestionably improved art historical scholarship of recent decades: the ...
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Art forgery is a complex subject; it has as much to do with the personality of the faker or the salesman who markets the spurious work as it has to do with the recapturing of some past technique or mood. And it is a subject that is still highly active today, despite the unquestionably improved art historical scholarship of recent decades: the ...
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IEEE Signal Processing Magazine, 2009
We are undoubtedly living in an age where we are exposed to a remarkable array of visual imagery. While we may have historically had confidence in the integrity of this imagery, today's digital technology has begun to erode this trust. From the tabloid magazines to the fashion industry and in mainstream media outlets, scientific journals, political ...
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We are undoubtedly living in an age where we are exposed to a remarkable array of visual imagery. While we may have historically had confidence in the integrity of this imagery, today's digital technology has begun to erode this trust. From the tabloid magazines to the fashion industry and in mainstream media outlets, scientific journals, political ...
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Digital Image Forgery Detection
International Journal of Innovative Science and Research TechnologyThis project proposes an image forgery detection method using CNN, capable of delivering high accuracy and a clear explanation for each forged instance. In the past few years, image forgery has increased drastically, owing to the easy availability of image editing tools and techniques, including morphing. To mitigate this increasing menace and mitigate
Parkavi C +4 more
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Digital Media Forgery Detection
2020In recent years, digital media have been used as indisputable evidence of a crime, and it is therefore important to ensure the reliability of these digital media. Unfortunately, digital media can be forged by using the advent of powerful and easy-to-use media editing tools.
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Compression noise based video forgery detection
2014 IEEE International Conference on Image Processing (ICIP), 2014Intelligent video editing techniques can be used to tamper videos such as surveillance camera videos, defeating their potential to be used as evidence in a court of law. In this paper, we propose a technique to detect forgery in MPEG videos by analyzing the frame's compression noise characteristics.
Hareesh Ravi +3 more
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Advance Image Forgery Detection
Gurukul International Multidisciplinary Research JournalAbstract :- In the digital era, the proliferation of sophisticated image editing tools has made image forgery a prevalent issue, posing significant challenges in various fields, including legal proceedings, journalism, and digital security. Advanced image forgery detection techniques are crucial to ensuring the authenticity and integrity of digital ...
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Revisiting face forgery detection towards generalization
Neural NetworksFace forgery detection aims to distinguish AI generated fake faces with real faces. With the rapid development of face forgery creation algorithms, a large number of generative models have been proposed, which gradually reduce the local distortion phenomenon or the specific frequency traces in these models. At the same time, in the process of face data
Chunlei Peng +5 more
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Improving Generalization by Commonality Learning in Face Forgery Detection
IEEE Transactions on Information Forensics and Security, 2022Peipeng Yu, Jianwei Fei, Zhihua Xia
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SNIS: A Signal Noise Separation-Based Network for Post-Processed Image Forgery Detection
IEEE Transactions on Circuits and Systems for Video Technology, 2023Jiaxin Chen, Xin Liao, Wei Wang
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