Title :
An Extended Subsampling Based Reversible Data Hiding Method
Author :
Yu, Xiao Yi ; Wang, Aiming
Author_Institution :
Sch. of Computerv & Inf. Eng., Anyang Normal Univ., Anyang, China
Abstract :
An improved reversible data hiding scheme, which can restore the original image completely after data extraction, is presented in this paper. The method is an extended subsampling reversible data hiding method. Compared with the previous method, the proposed method has much more room for data hiding. The data hiding capacity is much higher than the previous method while the visual distortion keep the same as the previous method. Experimental results show that the proposed algorithm provides high embedding capacity while keeping the distortions low.
Keywords :
data encapsulation; image sampling; data extraction; extended subsampling; reversible data hiding method; visual distortion; Biomedical imaging; Computer networks; Computer security; Data encapsulation; Data mining; Data security; Histograms; Image coding; Information security; Pixel; data hiding;
Conference_Titel :
Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-0-7695-3843-3
Electronic_ISBN :
978-1-4244-5068-8
DOI :
10.1109/MINES.2009.273