Paper Info
Title
Robust watermarking technique using back propagation neural network: a security protection mechanism for social applications.
Abstract
In this paper, an algorithm for digital watermarking based on discrete wavelet transforms DWTs and singular value decomposition SVD has been proposed. In the embedding process, the host colour image is decomposed into third-level DWT. Low frequency band LL3 is transformed by SVD. The watermark image is also transformed by SVD. The S vector of watermark information is embedded in the S component of the host image. Watermarked image is generated by inverse SVD on modified S vector and original U, V vectors followed by inverse DWT. Watermark is extracted using an extraction algorithm. In order to enhance the robustness performance of the image watermark, back propagation neural network BPNN is applied to the extracted watermark to reduce the effects of different noise applied on the watermarked image. Results are obtained by varying the gain factor and size of the cover and watermark image, experimental results are provided to illustrate that the proposed method is able to withstand a variety of signal processing attacks and has been found to be giving superior performance for robustness and imperceptibility compared to existing methods suggested by other authors.
Year
Venue
Field
2017
IJICS
Signal processing,Digital watermarking,Computer science,Computer network,Robustness (computer science),Watermark,Discrete wavelet transform,Artificial intelligence,Wavelet transform,Inverse,Computer vision,Singular value decomposition,Pattern recognition
DocType
Volume
Issue
Journal
9
1/2
Citations 
PageRank 
References 
5
0.40
16
Authors
3
Name
Order
Citations
PageRank
Aditi Zear150.40
Amit Kumar Singh264563.25
Pardeep Kumar324324.38