A scheme of hiding large-size image into small-size image based on FCdDNet
Lianshan Liu, Li Tang, Shanshan Tong, Yu Huang
TL;DR
This paper introduces a new method to hide large images inside small ones using an improved FCdDNet, achieving four times the hiding capacity while maintaining image quality.
Contribution
The novel contribution is an improved FCdDNet-based scheme that enables hiding large-size images into small ones with high capacity and quality.
Findings
The proposed scheme achieves four times the information hiding capacity compared to the carrier image size.
The hidden images maintain good visual quality and the extracted images show high restoration accuracy.
The method is applicable to image authentication and secret image transmission.
Abstract
The hiding capacity of the current information hiding field has reached a relatively high level, which can hide two color images into one color image. In order to explore a larger hidden capacity, an information hiding scheme based on an improved FCdDNet is proposed, which can hide large-size color images into small-size color images. An improved FCdDNet network is used as the main structure shared by the hidden network and the extraction network. These two networks promote and improve each other during the confrontation training process and are used in pairs. It can be seen that the proposed scheme achieves a larger information hiding capacity, and the hidden information is four times larger than the scale of the carrier image. At the same time, the visual effect after hiding is guaranteed, and the image extracted from the hidden image also has a high degree of restoration. The scheme…
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Digital Media Forensic Detection · Generative Adversarial Networks and Image Synthesis