Harmonizing Image Forgery Detection & Localization: Fusion of Complementary Approaches [PDF]
Journal of Imaging, 2023 Image manipulation is easier than ever, often facilitated using accessible AI-based tools. This poses significant risks when used to disseminate disinformation, false evidence, or fraud, which highlights the need for image forgery detection and ...
Hannes Mareen +3 more
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Image Inpainting Forgery Detection: A Review
Journal of Imaging, 2023 In recent years, significant advancements in the field of machine learning have influenced the domain of image restoration. While these technological advancements present prospects for improving the quality of images, they also present difficulties ...
Adrian-Alin Barglazan +2 more
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Frequency domain manipulation of multiple copy-move forgery in digital image forensics. [PDF]
PLoS ONECopy move forgery is a type of image forgery in which a portion of the original image is copied and pasted in a new location on the same image. The consistent illumination and noise pattern make this kind of forgery more difficult to detect. In copy-move
Tanzeela Qazi +5 more
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Learning Local Texture and Global Frequency Clues for Face Forgery Detection [PDF]
BiomimeticsIn recent years, the rapid advancement of deep learning techniques has significantly propelled the development of face forgery methods, drawing considerable attention to face forgery detection.
Xin Jin +6 more
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MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image [PDF]
Scientific ReportsJPEG artifacts produced during the JPEG compression may obscure forgery artifacts, impairing the efficiency of regular forgery detection and localization approaches.
Wuyang Shan +3 more
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Method for Image Forgery Detection Based on Deformable Self-Correlation Network [PDF]
Jisuanji gongcheng, 2021 The deep learning-based copy-move forgery detection methods ignore the spatial layout of the features, leading to a reduction in the detection performance for small-region forgery samples.Additionally,the fixed size of the receptive fields in ...
LIANG Peng, WU Yuting, ZHAO Huimin, LI Chunying, HE Wa, LI Shaofa
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Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture
IEEE Access, 2023 The authentication of digital images poses a significant challenge due to the wide range of image forgery techniques employed, with one notable example being a copy-move forgery.
Anjali Diwan +4 more
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Seamless Copy–Move Replication in Digital Images
Journal of Imaging, 2022 The importance and relevance of digital-image forensics has attracted researchers to establish different techniques for creating and detecting forgeries.
Tanzeela Qazi +3 more
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Image Forgery Detection & Localization
SSRN Electronic Journal, 2021 A human brain responds at a much faster rate to images and the information it contains. An image is considered as proof of past events that have occurred, but in today's world where editing tools are made available so easily tampering of images and hiding the original content has become too mainstream.
Aditi Shedge +4 more
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Image copy-move forgery detection and localization based on super-BPD segmentation and DCNN
Scientific Reports, 2022 With the increasing importance of image information, image forgery seriously threatens the security of image content. Copy-move forgery detection (CMFD) is a greater challenge because its abnormality is smaller than other forgeries.
Qianwen Li +3 more
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