وحيد هاشمي

Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. The main goal of this thesis is to explore and discuss various deep learning methods available in image steganography field and compare them with their traditional counterparts. The techniques used for image steganography can be broadly divided into three categories: 1. traditional methods 2. Convolutional Neural Network-based 3. General Adversarial Network-based methods Along with the methodology, an elaborate summary on the datasets used, experimental set-ups considered and the eva‎luation metrics commonly used are described in this thesis. A table summarizing all the details are also provided for easy reference.

نهان‌نگاري، پردازش تصوير، نهان‌نگاري تصويري، رمزنگاري

Steganography, Image Processing, Image Steganography, Cryptography

Vahid Hashemi

Masoud Hadian Dehkordi