.png){kind=icon}
Return
A New Histogram Modification Based Reversible Data Hiding Algorithm Considering the Human Visual System
.png){kind=icon}
PRE
AI
DOI：10.1109/LSP.2010.2095498.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this letter, we propose an improved histogram modification based reversible data hiding technique. In the proposed algorithm, unlike the conventional reversible techniques, a data embedding level is adaptively adjusted for each pixel with a consideration of the human visual system (HVS) characteristics. To this end, an edge and the just noticeable difference (JND) values are estimated for every pixel, and the estimated values are used to determine the embedding level. This pixel level adjustment can effectively reduce the distortion caused by data embedding. The experimental results and performance comparison with other reversible data hiding algorithms are presented to demonstrate the validity of the proposed algorithm.
Keywords:
Data hiding
human visual system
just noticeable difference
lossless watermarking
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W
Organization
Cited Papers
ShareSaveStructure of the TPR Domain of AIP: Lack of Client Protein Interaction with the C-Terminal α-7 Helix of the TPR Domain of AIP Is Sufficient for Pituitary Adenoma Predisposition.png)
PLoS ONE
OAAI
PLoS ONEIF0
OAAIShareSaveKnockdown of TRIM65 inhibits lung cancer cell proliferation, migration and invasion: A therapeutic target in human lung cancerOncotarget
OAAI
OncotargetIF0
OAAIShareSaveShareSave no more
no more