DocumentCode :
2821391
Title :
Digital Image Watermarking Algorithm with Double Encryption by Arnold Transform and Logistic
Author :
Zhang, Changjiang ; Jinshan Wang ; Wang, Xiaodong
Author_Institution :
Coll. of Math., Zhejiang Normal Univ., Jinhua
Volume :
1
fYear :
2008
fDate :
2-4 Sept. 2008
Firstpage :
329
Lastpage :
334
Abstract :
A new kind of watermark-inserting and detecting algorithm based on stationary wavelet transform was proposed. Firstly the digital watermarking was transformed randomly (Arnold transformation), then encrypted by logistic. The encrypted watermarking was transformed to one-dimensional row vector, and the pixel value was sorted. The coefficient of one-dimensional of primitive image of stationary wavelet transformation was sorted too, then inserted sorted watermarking to the sorted low frequency, and turned it to two dimension data. Then the image is reconstructed with coefficients of high-frequency. The process of watermarking inserted is the inversion of the process of watermarking embedded. Finally withdraw the watermarking and obtained the primitive watermarking after the anti-Arnold transformation. This algorithm chose the appropriate position to insert the watermarking. Experimental results indicate that this algorithm not only enables the watermarking to have the very good invisibility, but also makes the watermarking have very strong robustness to the general image attacks, such as noise, filter, rotation, compression and so on..
Keywords :
cryptography; image reconstruction; sorting; watermarking; wavelet transforms; Arnold transform; digital image watermarking algorithm; double encryption; image reconstruction; logistic; one-dimensional row vector; stationary wavelet transform; watermark-detecting algorithm; watermark-inserting algorithm; Cryptography; Digital images; Filters; Frequency; Image coding; Image reconstruction; Logistics; Noise robustness; Watermarking; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
Conference_Location :
Gyeongju
Print_ISBN :
978-0-7695-3322-3
Type :
conf
DOI :
10.1109/NCM.2008.121
Filename :
4624028
Link To Document :
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