Enhancement of Image Forgery and Improvement of Image Parameters Using DWT Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-1559-8_1
Reference15 articles.
1. Daniya T, Copy-move forgery detection in videos using machine learning algorithm. 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC). 978-1-6654-3368-6. https://doi.org/10.1109/ICOSEC51865.2021.9591881
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3. Chandra Sekhar PNRL, An object-based detection of splicing forgery using color illumination inconsistencies. 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 978-1-7281-8595.https://doi.org/10.1109/ICCCNT51525.2021.9580044
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5. Zhu X, “Face Forgery Detection by 3D Decomposition”, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 78-1-6654-4509-2. https://doi.org/10.1109/CVPR46437.2021.00295
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