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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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Research of Image Authenticity Detection Method Based on Feature Matching [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2022 In view of the problem that the tamper detection algorithm based on SIFT feature matching had， such as unclear location of tamper region and interference of SIFT mismatch on tamper region resolution, a method of image tamper location based on ...
HUA Bei, CHEN Qian, HUANG Ruwei
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Highly Discriminative Image Copy-Move Forgery Detection [PDF]
Jisuanji gongchengSeveral discriminative problems exist in copy-move forgery detection, including the difficulty of using keypoints to cover smooth regions, lack of color descriptive capability in feature representations, and insufficient accuracy of feature matching ...
WANG Chao, HUANG Zhiqiu, ZHANG Yushu, YI Shuang
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Copy-move forgery detection via texture description [PDF]
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence, 2010 Copy-move forgery is one of the most common type of tampering in digital images. Copy-moves are parts of the image that are copied and pasted onto another part of the same image. Detection methods in general use block-matching methods, which first divide the image into overlapping blocks and then extract features from each block, assuming similar ...
ARDIZZONE, Edoardo +2 more
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Copy Move Forgery Detection with Quadtree Decomposition Segmentation
2020 43rd International Conference on Telecommunications and Signal Processing (TSP), 2020 The increasing usage of digital images and the wide availability of easy-to-use image editors have made the authenticity of images questionable. Copy-move is one of the most applied forgery types. The keypoint-based copy move forgery detection methods in the literature cannot detect forgeries with smooth regions. In this paper to overcome this problem,
Gul Muzaffer +2 more
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Structural Correlation Based Method for Image Forgery Classification and Localization
Applied Sciences, 2020 In the image forgery problems, previous works has been chiefly designed considering only one of two forgery types: copy-move and splicing. In this paper, we propose a scheme to handle both copy-move and splicing image forgery by concurrently classifying ...
Nam Thanh Pham +2 more
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ResTran: Long Distance Relationship on Image Forgery Detection
IEEE Access, 2023 Image tampering detection is becoming more and more important in image forensics, especially in today’s society where advanced image editing tools are becoming more and more popular.
Jingjing Rao +2 more
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Blind Detection of Copy-Move Forgery in Digital Audio Forensics
IEEE Access, 2017 Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark ...
Muhammad Imran +3 more
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Convolutional Neural Network for Copy-Move Forgery Detection [PDF]
Symmetry, 2019 Digital image forgery is a growing problem due to the increase in readily-available technology that makes the process relatively easy. In response, several approaches have been developed for detecting digital forgeries. This paper proposes a novel scheme based on neural networks and deep learning, focusing on the convolutional neural network (CNN ...
Younis E. Abdalla +2 more
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Copy-Move Forgery Detection Techniques based on Traditional Methods in Digital Images
تحلیل مدارها، داده ها و سامانه ها, 2023 Image forgery is one of the most widely used fields in image processing, which has been widely studied and studied by researchers. There are different types of digital image forgery, copy-move forgery is one of the common examples, and it is very ...
Maryam Attaie Gahfarkhi +1 more
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