International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 101 - Issue 2 |
Published: September 2014 |
Authors: Anum Javeed Zargar, Ninni Singh |
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Anum Javeed Zargar, Ninni Singh . Digital Watermarking using Discrete Wavelet Techniques with the help of Multilevel Decomposition Technique. International Journal of Computer Applications. 101, 2 (September 2014), 25-29. DOI=10.5120/17660-8475
@article{ 10.5120/17660-8475, author = { Anum Javeed Zargar,Ninni Singh }, title = { Digital Watermarking using Discrete Wavelet Techniques with the help of Multilevel Decomposition Technique }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 101 }, number = { 2 }, pages = { 25-29 }, doi = { 10.5120/17660-8475 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Anum Javeed Zargar %A Ninni Singh %T Digital Watermarking using Discrete Wavelet Techniques with the help of Multilevel Decomposition Technique%T %J International Journal of Computer Applications %V 101 %N 2 %P 25-29 %R 10.5120/17660-8475 %I Foundation of Computer Science (FCS), NY, USA
Digital watermarking plays an important role for securing data, providing authentication, confidentiality and even protects digital images from illegal distortion. In this paper, we are particular using discrete wavelet transform which is more prevalent than others. The watermark logo is inserted after compressing the image with the help of JPEG compression technique. First original image is taken; it is changed into multilevel decomposed with the help of HAAR wavelet, as it is a type of wavelet used for diet (discrete wavelet technique) technique. The algorithm has been tested under the presence of attacks like Gaussian noise, JPEG compression and we see how their BER and PSNR value varies. Further, compression before watermarking is done to ensure inaccessibility of information to unauthorized personnel.