English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The existing image steganography methods either sequentially conceal secretimages or conceal a concatenation of multiple images. In such ways, theinterference of information among multiple images will become increasinglysevere when the number of secret images becomes larger, thus restrict thedevelopment of very large capacity image steganography. In this paper, wepropose an Invertible Mosaic Image Hiding Network (InvMIHNet) which realizesvery large capacity image steganography with high quality by concealing asingle mosaic secret image. InvMIHNet consists of an Invertible Image Rescaling(IIR) module and an Invertible Image Hiding (IIH) module. The IIR module worksfor downscaling the single mosaic secret image form by spatially splicing themultiple secret images, and the IIH module then conceal this mosaic image underthe cover image. The proposed InvMIHNet successfully conceal and reveal up to16 secret images with a small number of parameters and memory consumption.Extensive experiments on ImageNet-1K, COCO and DIV2K show InvMIHNet outperformsstate-of-the-art methods in terms of both the imperceptibility of stego imageand recover accuracy of secret image.

Invertible Mosaic Image Hiding Network for Very Large Capacity Image Steganography