A deep-learning-based image forgery detection framework for controlling the spread of misinformation
Purpose Web users rely heavily on online content make decisions without assessing the
veracity of the content. The online content comprising text, image, video or audio may be …
veracity of the content. The online content comprising text, image, video or audio may be …
Taylor‐RNet: An approach for image forgery detection using Taylor‐adaptive rag‐bull rider‐based deep convolutional neural network
V Vinolin, M Sucharitha - International Journal of Intelligent …, 2021 - Wiley Online Library
Due to the use of powerful computers and advanced software for photo editing, image
manipulation in digital images simply degrades the trust in digital images. Image forensic …
manipulation in digital images simply degrades the trust in digital images. Image forensic …
Digital image forgery detection under complex lighting using Phong reflection model
A Rani, A Jain - Journal of Electronic Imaging, 2022 - spiedigitallibrary.org
Image manipulation is transformed into a big issue for data integrity. The use of advanced
imaging technology expends the regularity of multimedia forgeries. To detect such forgeries …
imaging technology expends the regularity of multimedia forgeries. To detect such forgeries …
Taylor-rider-based deep convolutional neural network for image forgery detection in 3D lighting environment
V Vinolin, M Sucharitha - Data Technologies and Applications, 2022 - emerald.com
Purpose With the advancements in photo editing software, it is possible to generate fake
images, degrading the trust in digital images. Forged images, which appear like authentic …
images, degrading the trust in digital images. Forged images, which appear like authentic …