DocumentCode
734214
Title
Dual secured hybrid image watermarking in wavelet and singular domain
Author
Agrawal, Madhuri ; Jat, Dharm Singh ; Choudhary, Naveen ; Nhamu, Isaac
Author_Institution
Coll. of Technol. & Eng., Udaipur, India
fYear
2015
fDate
17-20 May 2015
Firstpage
172
Lastpage
178
Abstract
These days there is an increased risk of copyright violation of multimedia data that has become an important issue for content owners and service providers. Watermarking technology aims at asserting Intellectual Property Rights (IPR) of digital images by inserting a copyright identifier in the contents of the image, to achieve copyright protection. The dual scrambled watermark is embedded on the elements of singular values of the scrambled cover image´s DWT middle frequency sub-band and the image scrambling is done by Arnold and Scrambling Sequence. The security levels are increased by using a key value and scaling factor for the embedding and extraction process. Various standard database gray scale images of size 512×512 and watermark of size 64×64 have been used and the simulation was performed on MATLAB 7.7.0. The correlation factor for Salt and pepper noise, Gaussian noise, JPEG compression, Gaussian low pass filter and Cutting methods used by Rui-mei et al. and Wang et al. were compared with proposed method using hybrid dual scrambled watermark scheme. The proposed method enhanced the robustness and imperceptibility of digital images.
Keywords
Gaussian noise; copyright; discrete wavelet transforms; embedded systems; image watermarking; security of data; singular value decomposition; DWT middle frequency sub-band; Gaussian low pass filter; Gaussian noise; IPR; JPEG compression; Matlab 7.7.0; copyright identifier; copyright protection; cutting method; digital image; dual scrambled watermark; dual secured hybrid image watermarking; embedding process; extraction process; hybrid dual scrambled watermark scheme; image scrambling; intellectual property right; multimedia data; scaling factor; standard database gray scale image; Discrete wavelet transforms; Histograms; Multimedia communication; Noise; Robustness; Watermarking; Discrete wavelet transform (DWT); Singular value decomposition (SVD); copyright protection; histogram equalization; robustness; scrambling;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Networks and Computer Communications (ETNCC), 2015 International Conference on
Conference_Location
Windhoek
Print_ISBN
978-1-4799-7706-2
Type
conf
DOI
10.1109/ETNCC.2015.7184829
Filename
7184829
Link To Document