With the increasing performance accuracy of computer software systems, the realistic appearance of computer-generated images (CGI) and deepfakes often leads to assuming them as authentic images.

Researchers at the Changsha University of Science and Technology and Hunan University in Hunan, China, have recently developed an image source pipeline forensics method based on convolutional neural networks (CNN) to automate the distinction between natural images and CGI. The work announced in the International Journal of Autonomous and Adaptive Communications Systems describes that the CNN-based model is fine-tuned using a database of 10000 images.

Summary: https://www.marktechpost.com/2021/04/20/researchers-introduce-a-convolutional-neural-network-cnn-based-model-that-automates-the-distinction-between-natural-images-and-computer-generated-images-cgi/

Paper: http://www.inderscience.com/offer.php?id=114295



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