A Novel LSB Matching Algorithm Based on Information Pre-Processing
Yongjin Hu,
Xiyan Li and
Jun Ma
Additional contact information
Yongjin Hu: Department of Cryptogram Engineering, Information Engineering University, Zhengzhou 450001, China
Xiyan Li: Department of Cryptogram Engineering, Information Engineering University, Zhengzhou 450001, China
Jun Ma: Department of Cryptogram Engineering, Information Engineering University, Zhengzhou 450001, China
Mathematics, 2021, vol. 10, issue 1, 1-16
Abstract:
This paper analyzes random bits and scanned documents, two forms of secret data. The secret data were pre-processed by halftone, quadtree, and S-Box transformations, and the size of the scanned document was reduced by 8.11 times. A novel LSB matching algorithm with low distortion was proposed for the embedding step. The golden ratio was firstly applied to find the optimal embedding position and was used to design the matching function. Both theory and experiment have demonstrated that our study presented a good trade-off between high capacity and low distortion and is superior to other related schemes.
Keywords: data hiding; halftone; quadtree; LSB matching; golden ratio (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/10/1/8/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/1/8/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2021:i:1:p:8-:d:707425
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().