DocumentCode
1797441
Title
Novel high-capacity data hiding technique using summation and LSD parity of pixel groups
Author
Sheng-Kai Yang ; Ping-Sheng Huang ; Chin-Pan Huang
Author_Institution
Dept. of Inf. Manage., Chia Nan Univ. of Pharmacy&Sci., Tainan, Taiwan
Volume
1
fYear
2014
fDate
13-16 July 2014
Firstpage
383
Lastpage
389
Abstract
The aims of designing algorithms for data hiding applications are to increase the hiding capacity and maintain the original image quality. However, both goals are often contradicted to each other. Owing to this, the main idea of this paper is to embed the secret bit sequence into pixel groups by using the summation of neighboring pixel values and the achieved parity of Least Significant Digit (LSD). The summation method utilizes the concept of pixel groups from the method of pixel value differencing (PVD) but not using the difference values for data hiding. Instead, the decimal representation of LSD summation relationship from two neighboring pixels is adopted for adjusting pixel values for data hiding. At the same time, the parity of the second pixel value is used for increasing one more hidden-bit while using the summation relationship for data hiding. Data extraction can be done in the reverse direction. Therefore, the overall hiding capacity can be greatly improved. Experimental results show that the proposed data hiding algorithm can have better performance than normal PVD methods. Also, the better image quality can be assured.
Keywords
data encapsulation; image processing; LSD parity; LSD summation relationship; data extraction; decimal representation; image quality; least significant digit; neighboring pixel values; novel high-capacity data hiding technique; pixel groups; pixel value differencing; secret bit sequence; summation method; Abstracts; Frequency-domain analysis; Capacity; Data hiding; Parity; Summation; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
Conference_Location
Lanzhou
ISSN
2160-133X
Print_ISBN
978-1-4799-4216-9
Type
conf
DOI
10.1109/ICMLC.2014.7009146
Filename
7009146
Link To Document