DocumentCode
2863887
Title
Study of Reversible Information Hiding Scheme Based on GHM and Color Mod Vector Structure
Author
Ren Shuai ; Mu Dejun ; Zhang Tao ; Hu Wei
Author_Institution
Coll. of Autom., Northwestern Polytech. Univ., Xi´an, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
5
Abstract
Take advantage of the feature that the energy of the image would gather and spread on four components in the subimage after first-order GHM multi-wavelet transform. Propose an information hiding algorithm based on modifying the direction of color mod vector structure (CMVS) of four GHM first-order sub-images (LL2, LH2, HL2 and HH2). The direction of CMVS represents the information. The maximum change of direction angle is usually less than ¿/2k. Embed robust parameters in LL2, hiding information in LH2 and HL2 with RAID4, fragile sign in HH2. Using the chaotic map and the genetic algorithm, improve the consistence of the embedded data bits´ order and the character of the sub-image. Experimental results indicate that the proposed scheme can increase invisibility and robustness separately by 22.49% and 16.78% averagely, and has certain ability against steganalysis such as the RS and higher order statistics based on wavelet coefficients. Moreover, the scheme has excellent sensitivity of image processing.
Keywords
data encapsulation; genetic algorithms; image coding; image colour analysis; wavelet transforms; chaotic map; color mod vector structure; first-order GHM multiwavelet transform; genetic algorithm; image processing; reversible information hiding scheme; Chaotic communication; Color; Digital images; Educational institutions; Frequency domain analysis; Genetic algorithms; Image processing; Noise robustness; Space technology; Wavelet coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5366227
Filename
5366227
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