An adjustable rdh method for ambtc-compressed images using unilateral pixel value modification strategy
Document Type
Article
Publication Date
5-1-2020
Abstract
In view of the global increase in smartphone and social media usages, there is a growing demand for efficient and secure data storage and transmission. Data hiding in compressed domain enjoys the best of both worlds. In other words, one can use compression techniques to realize storage and transmission efficiency and deploy data hiding methods as a means of accomplishing information security. However, this task is unexpectedly challenging because compression has largely reduced and eliminated data redundancy on which most data hiding algorithms depend. In this paper, we proposed a novel reversible data hiding scheme based on absolute moment block truncation coding (AMBTC) with adjustable payload. AMBTC is one of the most widely used lossy image compression techniques. The proposed scheme embeds secret data into AMBTC compressed images by modifying the gray level and is able to recover the original compression image after secret data extraction. The amount of secret information can be configured to embed one to three digits per pixel. The experimental results showed that our scheme achieved the highest embedding rate compared to the related works under the same image quality constraints.
Identifier
85097185531 (Scopus)
Publication Title
Journal of Network Intelligence
e-ISSN
24148105
First Page
77
Last Page
92
Issue
2
Volume
5
Grant
2019A050513012
Fund Ref
Natural Science Foundation of Fujian Province
Recommended Citation
Zheng, Wenbin; Chang, Ching Chun; Horng, Ji Hwei; Lin, Juan; and Shi, Yunqing, "An adjustable rdh method for ambtc-compressed images using unilateral pixel value modification strategy" (2020). Faculty Publications. 5341.
https://digitalcommons.njit.edu/fac_pubs/5341
