DocumentCode :
1783733
Title :
A Novel Reversible Data Hiding Scheme Based on Reference Pixels and Adaptive Block Selection
Author :
Xinlu Gui ; Siren Cai ; Xiaolong Li ; Bin Yang
Author_Institution :
Inst. of Comput. Sci. & Technol., Peking Univ., Beijing, China
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
276
Lastpage :
280
Abstract :
In this paper, a novel reversible data hiding (RDH) scheme based on reference pixels and adaptive block selection is proposed. We first divide the cover image into non-overlapping blocks. Then for each block, we assign the pixels with median value as reference pixels and the number of reference pixels as a smooth level (SL). In this way, residual histograms for each SL can be generated. For the blocks with SL not less than a given threshold, we embed data into them using histogram shifting. Here, we embed data from the blocks with the highest SL (the most smooth ones) to lower ones instead of sequential embedding. For the other blocks, each of them is further divided into two new ones containing the pixels larger or less than its median. These new blocks will be embedded with the rest secret data. By the proposed scheme, it can adaptively embed data into the smooth blocks and less modification is made to noisy ones. The experimental results demonstrate our superiority over some state-of-the-art RDH works.
Keywords :
data encapsulation; image coding; statistical analysis; RDH scheme; SL pixel; adaptive block selection; cover image; histogram shifting; reference pixel; reversible data hiding scheme; sequential embedding; smooth level pixel; Data mining; Histograms; Image quality; Noise measurement; PSNR; Transforms; Watermarking; adaptive embedding; histogram shifting; reference pixels; reversible data hiding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
Type :
conf
DOI :
10.1109/IIH-MSP.2014.75
Filename :
6998321
Link To Document :
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