Detection of double JPEG compression using modified DenseNet model
Detection of double JPEG compression using modified DenseNet model is a scholarly work, published in 2018 in ''Multimedia Tools and Applications''. The main subjects of the publication include image, image compression, JPEG, artificial intelligence, JPEG-LS, generative adversarial network, digital forensics, computer vision, compression artifact, adversarial machine learning, pattern recognition, and computer science. With the increasing tendency of the tempering of JPEG images, development of methods detecting image forgery is of great importance.