DocumentCode :
510117
Title :
Study of Reversible Information Hiding Scheme Based on GHM and CBP
Author :
Ren Shuai ; Mu Dejun ; Zhang Tao ; Hu Wei
Author_Institution :
Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
Volume :
1
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
345
Lastpage :
349
Abstract :
Take advantage of the feature that the energy distribution ratio is approximately 4.5:2.2:2.2:1.1 in the four LL1 sub-images (LL2, LH2, HL2 and HH2) after first-order GHM multi-wavelet transform. Use the feather of image bit plane embedded strategy. Propose an information hiding scheme based on GHM and combination bit plane (CBP). LL2 is embedded module of robust parameters. Embed hiding Information in LH2 and HL2 with RAID4 and fragile sign in HH2. The position for embedding information of every sub-image is Bit Plane 0. Bit Plane 3 and Bit Plane 7 are auxiliary embedded positions by XOR. Before embedding, improve the consistence of the embedded data bits´ order and the character of the sub-image with the chaotic map and the genetic algorithm. The embedding sequence of each bit plane is traversal according to Knight-tour route. Experimental results indicate that the proposed scheme can increase invisibility by 19.92% averagely and robustness by 16.18%, and have excellent sensitivity of image processing.
Keywords :
cryptography; genetic algorithms; image coding; wavelet transforms; CBP; GHM multiwavelet transform; HH2; Knight-tour route; LL1 sub-images; RAID4; XOR; chaotic map; combination bit plane; energy distribution ratio; genetic algorithm; image bit plane embedded strategy; image processing; reversible information hiding; Chaotic communication; Discrete cosine transforms; Discrete wavelet transforms; Filtering; Genetic algorithms; Gray-scale; Image processing; Noise robustness; Watermarking; Wavelet transforms; GHM multi-wavelet transform; Knight-tour route; chaotic map; combination bit plane; genetic algorithm; information hiding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.9
Filename :
5376220
Link To Document :
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