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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

With the popularization of digital information technology, the reversibledata hiding in encrypted images (RDHEI) has gradually become the researchhotspot of privacy protection in cloud storage. As a technology which can embedadditional information in encrypted domain, extract the embedded informationcorrectly and recover the original image without loss, RDHEI has been widelypaid attention by researchers. To embed sufficient additional information inthe encrypted image, a high-capacity RDHEI method using adaptive encoding isproposed in this paper. Firstly, the occurrence frequency of differentprediction errors of the original image is calculated and the correspondingadaptive Huffman coding is generated. Then, the original image is encryptedwith stream cipher and the encrypted pixels are marked with different Huffmancodewords according to the prediction errors. Finally, additional informationis embedded in the reserved room of marked pixels by bit substitution. Theexperimental results show that the proposed algorithm can extract the embeddedinformation correctly and recover the original image losslessly. Compared withsimilar algorithms, the proposed algorithm makes full use of thecharacteristics of the image itself and greatly improves the embedding rate ofthe image. On UCID, BOSSBase, and BOWS-2 datasets, the average embedding rateof the proposed algorithm reaches 3.162 bpp, 3.917 bpp, and 3.775 bpp, which ishigher than the state-of-the-art algorithm of 0.263 bpp, 0.292 bpp, and 0.280bpp, respectively.

High-Capacity Reversible Data Hiding in Encrypted Images using Adaptive Encoding