A New SMVQ-Based Reversible Data Hiding Scheme Using State-Codebook Sorting

2017 ◽  
pp. 539-550
Author(s):  
Juan-ni Liu ◽  
Quan Zhou ◽  
Yan-lang Hu ◽  
Jia-yuan Wei
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding

High Capacity Reversible Data Hiding Algorithm Using Interpolation and Sorting

2018 ◽  
Vol 30 (10) ◽  
pp. 1954
Author(s):  
Xiangguang Xiong ◽  
Yongfeng Cao ◽  
Weihua Ou ◽  
Bin Liu ◽  
Li Wei ◽  
...  
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
High Capacity

Reversible data hiding in adjacent zeros

2021 ◽  
Author(s):  
Heba Abdel-Nabi ◽  
Ali Al-Haj
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding

Visible-Imperceptible Image Watermarking based on Reversible Data Hiding with Contrast Enhancement

2020 ◽  
Author(s):  
Jaime Sarabia-Lopez ◽  
Diana Nunez-Ramirez ◽  
David Mata-Mendoza ◽  
Eduardo Fragoso-Navarro ◽  
Manuel Cedillo-Hernandez ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Image Watermarking

scholarly journals Separable Reversible Data Hiding in Encryption Image with Two-Tuples Coding

Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 86
Author(s):  
Jijun Wang ◽  
Soo Fun Tan
Keyword(s):  
Image Quality ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
High Order ◽  
Coding Method ◽  
Military Applications ◽  
Social Cloud ◽  
Carrier Image ◽  
Security Surveillance ◽  
Embedding Rate

Separable Reversible Data Hiding in Encryption Image (RDH-EI) has become widely used in clinical and military applications, social cloud and security surveillance in recent years, contributing significantly to preserving the privacy of digital images. Aiming to address the shortcomings of recent works that directed to achieve high embedding rate by compensating image quality, security, reversible and separable properties, we propose a two-tuples coding method by considering the intrinsic adjacent pixels characteristics of the carrier image, which have a high redundancy between high-order bits. Subsequently, we construct RDH-EI scheme by using high-order bits compression, low-order bits combination, vacancy filling, data embedding and pixel diffusion. Unlike the conventional RDH-EI practices, which have suffered from the deterioration of the original image while embedding additional data, the content owner in our scheme generates the embeddable space in advance, thus lessening the risk of image destruction on the data hider side. The experimental results indicate the effectiveness of our scheme. A ratio of 28.91% effectively compressed the carrier images, and the embedding rate increased to 1.753 bpp with a higher image quality, measured in the PSNR of 45.76 dB.

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