Paper Info
Title
Reversible Data Hiding By Median-Preserving Histogram Modification For Image Contrast Enhancement
Abstract
A new image reversible data hiding algorithm is proposed in this paper based on histogram modification. Instead of trying to keep the image PSNR value high after data hiding, the proposed algorithm aims at enhancing the image contrast for better visual effect. To make the hidden data blindly extractable, the median point in the histogram is preserved after modifying two selected bins in a special way. Multiple pairs of histogram bins are further selected to be modified in sequence to achieve the effect of contrast enhancement. To avoid overflow and underflow, pre-process is performed on the pixel values and a location map is generated. By embedding the side information along with the message bits, the original image can be completely recovered without additional information. The proposed algorithm was applied to two sets of test images and the experimental results have shown that the better effect of contrast enhancement can be achieved than the previous works. In addition to reversibility, the evaluation results show that the visual quality of test images has been preserved after data hiding, even better than three specific MATLAB functions.
Year
DOI
Venue
2014
10.1007/978-3-319-19321-2_22
DIGITAL-FORENSICS AND WATERMARKING, IWDW 2014
Keywords
Field
DocType
Reversible data hiding, Image contrast enhancement, Visual quality, Histogram modification, Median point
Computer vision,Histogram,Location map,Arithmetic underflow,Embedding,MATLAB,Computer science,Information hiding,Side information,Artificial intelligence,Pixel
Conference
Volume
ISSN
Citations 
9023
0302-9743
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Hao-Tian Wu11053.63
Yuan Liu291.24
Yun Q. Shi32918199.53