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Australian Journal of Forensic Sciences Volume 55, 2023 - Issue 3
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Research Article

Salient keypoint-based copy–move image forgery detection

Nitish KumarElectronics and Communication Engineering Department, National Institute of Technology Raipur, Raipur, IndiaORCID Iconhttps://orcid.org/0000-0001-9977-1347
ORCID Icon &
Toshanlal MeenpalElectronics and Communication Engineering Department, National Institute of Technology Raipur, Raipur, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-2809-075X
ORCID Icon
Pages 331-354 | Received 04 Aug 2021, Accepted 30 Nov 2021, Published online: 12 Jan 2022

Citations (12)

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YıΙdız Aydin. (2022) Comparison of color features on copy-move forgery detection problem using HSV color space. Australian Journal of Forensic Sciences 0:0, pages 1-17.
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Articles from other publishers (11)

S Chandana, C R Nagarathna, A Amrutha & A Jayasri. (2024) Detection Of Image Forgery Using Error Level Analysis. Detection Of Image Forgery Using Error Level Analysis.
Anjali Diwan & Anil K. Roy. (2024) CNN-Keypoint Based Two-Stage Hybrid Approach for Copy-Move Forgery Detection. IEEE Access 12, pages 43809-43826.
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Nitish Kumar, Toshanlal Meenpal & Muhammed Yaseen Ahmad. 2024. Advances in Data-Driven Computing and Intelligent Systems. Advances in Data-Driven Computing and Intelligent Systems 175 185 .
Anjali Diwan & Upasana Sonkar. (2023) Visualizing the truth: a survey of multimedia forensic analysis. Multimedia Tools and Applications.
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Nagarathna C R, Jayasri A, Chandana S & Amrutha A. (2023) Identification of Image Forgeries using Machine Learning - A Review. Journal of Innovative Image Processing 5:3, pages 323-336.
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Nitish Kumar & Toshanlal Meenpal. (2023) Encoder–decoder-based CNN model for detection of object removal by image inpainting. Journal of Electronic Imaging 32:04.
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Guiwei Fu, Yujin Zhang & Yongqi Wang. (2023) Image Copy-Move Forgery Detection Based on Fused Features and Density Clustering. Applied Sciences 13:13, pages 7528.
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Shobhit Tyagi & Divakar Yadav. (2022) MiniNet: a concise CNN for image forgery detection. Evolving Systems 14:3, pages 545-556.
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Sagnik Ganguly, Sanmit Mandal, Samir Malakar & Ram Sarkar. (2023) Copy-move forgery detection using local tetra pattern based texture descriptor. Multimedia Tools and Applications 82:13, pages 19621-19642.
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Mashael Maashi, Hayam Alamro, Heba Mohsen, Noha Negm, Gouse Pasha Mohammed, Noura Abdelaziz Ahmed, Sara Saadeldeen Ibrahim & Mohamed Ibrahim Alsaid. (2023) Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection. IEEE Access 11, pages 87297-87304.
Crossref
Nitish Kumar & Toshanlal Meenpal. 2023. Computer Vision and Image Processing. Computer Vision and Image Processing 720 733 .

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