---
title: Invertible Mosaic Image Hiding Network for Very Large Capacity Image
  Steganography
description:   The existing image steganography methods either sequentially conceal secret
images or conceal a concatenation of multiple images. In such ways, the
interference of information among multiple images will become increasingly
severe when the number of secret images becomes larger, thus restrict the
development of very large capacity image steganography. In this paper, we
propose an Invertible Mosaic Image Hiding Network (InvMIHNet) which realizes
very large capacity image steganography with high quality by concealing a
single mosaic secret image. InvMIHNet consists of an Invertible Image Rescaling
(IIR) module and an Invertible Image Hiding (IIH) module. The IIR module works
for downscaling the single mosaic secret image form by spatially splicing the
multiple secret images, and the IIH module then conceal this mosaic image under
the cover image. The proposed InvMIHNet successfully conceal and reveal up to
16 secret images with a small number of parameters and memory consumption.
Extensive experiments on ImageNet-1K, COCO and DIV2K show InvMIHNet outperforms
state-of-the-art methods in terms of both the imperceptibility of stego image
and recover accuracy of secret image.

url: https://modelslab.com/ai-news/invertible-mosaic-image-hiding-network-for-very-large-capacity-image-steganography
canonical: https://modelslab.com/ai-news/invertible-mosaic-image-hiding-network-for-very-large-capacity-image-steganography
type: website
component: Content/AINews/Single
generated_at: 2026-01-20T14:32:30.223832Z
---

# Invertible Mosaic Image Hiding Network for Very Large Capacity Image
  Steganography

>   The existing image steganography methods either sequentially conceal secret
images or conceal a concatenation of multiple images. In such ways, the
interference of information among multiple images will become increasingly
severe when the number of secret images becomes larger, thus restrict the
development of very large capacity image steganography. In this paper, we
propose an Invertible Mosaic Image Hiding Network (InvMIHNet) which realizes
very large capacity image steganography with high quality by concealing a
single mosaic secret image. InvMIHNet consists of an Invertible Image Rescaling
(IIR) module and an Invertible Image Hiding (IIH) module. The IIR module works
for downscaling the single mosaic secret image form by spatially splicing the
multiple secret images, and the IIH module then conceal this mosaic image under
the cover image. The proposed InvMIHNet successfully conceal and reveal up to
16 secret images with a small number of parameters and memory consumption.
Extensive experiments on ImageNet-1K, COCO and DIV2K show InvMIHNet outperforms
state-of-the-art methods in terms of both the imperceptibility of stego image
and recover accuracy of secret image.



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*Generated by ModelsLab - 2026-01-20*