A Fusion Steganographic Algorithm Based on Faster R-CNN

• 作者: Jin Wang Ruohan Meng Steven G.Rice Xingming Sun
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 工学
• 关键词: FASTER R-CNN FUSION STEGANOGRAPHY OBJECT detection CNNS information hiding.
• 年，卷（期）: 2018,（4）
• 页码范围: 1-16
• 页数: 16页
• 分类号: TP3

摘要

The aim of information hiding is to embed the secret message in a normal cover media such as image,video,voice or text,and then the secret message is transmitted through the transmission of the cover media.The secret message should not be damaged on the process of the cover media.In order to ensure the invisibility of secret message,complex texture objects should be chosen for embedding information.In this paper,an approach which corresponds multiple steganographic algorithms to complex texture objects was presented for hiding secret message.Firstly,complex texture regions are selected based on a kind of objects detection algorithm.Secondly,three different steganographic methods were used to hide secret message into the selected block region.Experimental results show that the approach enhances the security and robustness.