StegNet: Mega Image Steganography Capacity with Deep Convolutional Network

June 17, 2018 · Entered Twilight · 🏛 Future Internet

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Authors Pin Wu, Yang Yang, Xiaoqiang Li arXiv ID 1806.06357 Category cs.MM: Multimedia Citations 125 Venue Future Internet Repository https://github.com/adamcavendish/StegNet-Mega-Image-Steganography-Capacity-with-Deep-Convolutional-Network ⭐ 30 Last Checked 1 month ago

Abstract

Traditional image steganography often leans interests towards safely embedding hidden information into cover images with payload capacity almost neglected. This paper combines recent deep convolutional neural network methods with image-into-image steganography. It successfully hides the same size images with a decoding rate of 98.2% or bpp (bits per pixel) of 23.57 by changing only 0.76% of the cover image on average. Our method directly learns end-to-end mappings between the cover image and the embedded image and between the hidden image and the decoded image. We~further show that our embedded image, while with mega payload capacity, is still robust to statistical analysis.