Results 21 to 30 of about 81,144 (285)
Toward Deep-Learning-Based Methods in Image Forgery Detection: A Survey
IEEE Access, 2023 In the last decades, deep learning (DL) has emerged as a powerful and dominant technique for solving challenging problems in various fields. Likewise, in the field of digital image forensics, a large and growing body of literature investigates DL-based ...
Nam Thanh Pham, Chun-Su Park
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Analysis Manipulation Copy-Move on Image Digital using SIFT Method and Histogram Color RGB
JISA (Jurnal Informatika dan Sains), 2022 The application of the SIFT (Scale Invariant feature transform) algorithm and the RGB color histogram in Matlab can detect the suitability of objects in digital images and perform tests accurately.
Muhamad Masjun Efendi +2 more
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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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Copy-move forgery detection using the segment gradient orientation histogram [PDF]
, 2017 The ready availability of image-editing software makes ensuring the authenticity of images an important issue. The most common type of image tampering is cloning, or Copy-Move Forgery (CMF), in which part(s) of the image are copied and pasted back into ...
Khayeat, Ali +2 more
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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 by Matching Triangles of Keypoints [PDF]
, 2015 Copy-move forgery is one of the most common types of tampering for digital images. Detection methods generally use block-matching approaches, which first divide the image into overlapping blocks and then extract and compare features to find similar ones,
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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Deteksi Pemalsuan Citra Copy Move Menggunakan Dyadic Wavelet Dan Scale Invariant Feature Transform [PDF]
, 2017 Pada penelitian ini dibangun sebuah aplikasi yang bertujuan untuk mendeteksi pemalsuan copy-move pada citra digital. Pertama-tama, citra digital akan didekomposisi menggunakan metode dyadic wavelet transform (DyWT) dan diambil sub-citra LL, lalu ...
Andreswari, D. (Desi) +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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