Maria Belen Huamani Millio

DCT-Based Steganalysis for Steganographic Algorithm and Distortion-Level Classification Using Deep Learning

This study proposes a methodology based on Discrete Cosine Transform (DCT) coefficients and deep learning to identify steganographic algorithms (UERD, J-UNIWARD, and JMiPOD) and to classify distortion levels in images from the ALASKA2 dataset. For each image, 258,048 AC coefficients were extracted, and 9999 were select...