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International Journal of Science, Strategic Management and Technology
In the contemporary era, digital images are a vital source of information in the modern day, and as such, they are regularly disseminated on social media. False identification could be inferred from the deceptive information. With the many tools and methods that are available today, anyone can quickly create image forgeries that could pose a number of ...
PRAVEEN KUMAR G, VANITHA P
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In the contemporary era, digital images are a vital source of information in the modern day, and as such, they are regularly disseminated on social media. False identification could be inferred from the deceptive information. With the many tools and methods that are available today, anyone can quickly create image forgeries that could pose a number of ...
PRAVEEN KUMAR G, VANITHA P
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Detecting Image Forgery in Single-Sensor Multispectral Images
2018With the advancements in digital technology, multispectral images have found use in fields like forensics, remote sensing due to their ability to perceive things which were otherwise non-existent. They are used to obtain more information about terrains, land cover and in forensics as certain things like blood stains are not visible in visible spectrum.
Mridul Gupta, Puneet Goyal
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Image Forgery Detection Based on Semantic Image Understanding
2017Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based on high-level semantics with three components of image understanding module, the normal rule bank (NR) holding semantic rules that comply with ...
Kui Ye +4 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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Digital Image Forgery Detection with Focus on a Copy-Move Forgery Detection: A Survey
2023 International Conference on Cyberworlds (CW), 2023Sami Gazzah +3 more
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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, Zhenxing Qian
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A survey on deep learning-based image forgery detection
Pattern Recognition, 2023Mohsen Sardari Zarchi
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QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method
Neurocomputing, 2022Mehrad Aria, Nacer Farajzadeh
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Salient keypoint-based copy–move image forgery detection
Australian Journal of Forensic Sciences, 2023Nitish Kumar, Toshanlal Meenpal
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Image Forgery Detection Using Deep Learning by Recompressing Images
Electronics (Switzerland), 2022Syed Sadaf Ali +2 more
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