Effective Message Hiding with Order-Preserving Mechanisms

arXiv:2402.19160v1 Announce Type: new
Abstract: Message hiding, a technique that conceals secret message bits within a cover image, aims to achieve an optimal balance among message capacity, recovery accuracy, and imperceptibility. While convolutional neural networks have notably improved message capacity and imperceptibility, achieving high recovery accuracy remains challenging. This challenge arises because convolutional operations struggle to preserve the sequential order of message bits and effectively address the discrepancy between these two modalities. To address this, we propose StegaFormer, an innovative …

abstract accuracy arxiv balance capacity challenge convolutional neural networks cs.cv image networks neural networks operations recovery secret type