Open AccessReversible Data Hiding based on Two-dimensional Histogram Shifting
Author(s) -
Junhui Zhao,
Zhitang Li
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2021.110204
Subject(s) - histogram , information hiding , luminance , algorithm , discrete cosine transform , block (permutation group theory) , computer science , distortion (music) , set (abstract data type) , histogram matching , value (mathematics) , artificial intelligence , mathematics , basis (linear algebra) , computer vision , pattern recognition (psychology) , image (mathematics) , statistics , amplifier , computer network , geometry , bandwidth (computing) , programming language
This paper presents a two-dimensional histogram shifting technique for reversible data hiding algorithm. In order to avoid the distortion drift caused by hiding data into stereo H.264 video, we choose arbitrary embeddable blocks from 4×4 quantized discrete cosine transform luminance blocks which will not affect their adjacent blocks. Two coefficients in each embeddable block are chosen as a hiding coefficient pair. The selected coefficient pairs are classified into different sets on the basis of their values. Data could be hidden according to the set which the value of the coefficient pair belongs to. When the value of one coefficient may be changed by adding or subtracting 1, two data bits could be hidden by using the proposed method, whereas only one data bit could be embedded by employing the conventional histogram shifting. Experiments show that this two-dimensional histogram shifting method can be used to improve the hiding performance.