Results 51 to 60 of about 3,997,403 (139)
Fractional Quaternion Zernike Moments for Robust Color Image Copy-Move Forgery Detection
IEEE Access, 2018 In this paper, fractional Zernike moments (FrZMs) for complex signals are generalized to fractional quaternion Zernike moments (FrQZMs) for quaternion signal processing in a holistic manner by the quaternion algebra.
Beijing Chen +4 more
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Can Deep Network Balance Copy-Move Forgery Detection and Distinguishment?
, 2023 Copy-move forgery detection is a crucial research area within digital image forensics, as it focuses on identifying instances where objects in an image are duplicated and placed in different locations.
Chang, Shizhen
core
Robust Copy-move Forgery Detection through Invariant Moment Features [PDF]
, 2016 The proposed scheme uses the invariant features extracted from each block to detect the copy-move forgery detection regions in a digital image. In the proposed scheme, an image is first divided into overlapping blocks.
Chen, Chien-Chang;Wang, Han
core
Fast copy-move forgery detection
, 2011 99學年度林慧珍教師升等參考著作This paper proposes a method for detecting copy-move forgery over images tampered by copy-move. To detect such forgeries, the given image is divided into overlapping blocks of equal size, feature for each block is then extracted and ...
Lin, Hwei-Jen; Wang, Chun-Wen; Kao, Yang-Ta
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IEEE AccessPresents corrections to the paper, (Corrections to “Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction”).
Varun Shinde +6 more
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A Survey on Photo Forgery Detection Methods
ITM Web of Conferences, 2018 In recent years, digital image forgery detection has become one of the hardest studying area for researchers investigations in the field of information security and image processing.
Gurunlu Bilgehan, Ozturk Serkan
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IEEE AccessDigital image forensics aims to verify the authenticity of an image by determining its origin and any processing it has undergone. Among passive approaches in copy move forgery detection, which analyze images without requiring prior embedded information,
Tanzeela Qazi +6 more
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Copy-Move Forgery Detection (CMFD) Using Deep Learning for Image and Video Forensics. [PDF]
J Imaging, 2021 Rodriguez-Ortega Y +2 more
europepmc +1 more source
Image forensic for digital image copy move forgery detection [PDF]
, 2018 In recent years, digital image forgery detection has become an active research area due to the advancement of photo editing software. In general, image forgery detection can be classified into two types, namely active and passive detection.
Yeap, Yong Yew
core
A New Copy Move Forgery Detection Technique Using Adaptive Over-segementation and Feature Point Matching [PDF]
, 2018 With the development of Image processing editing tools and software, an image can be easily manipulated. The image manipulation detection is vital for the reason that an image can be used as legal evidence, in the field of forensics investigations, and ...
Gupta, Anil
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