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  Digital Video Watermarking Using DWT-DFT Transforms and SVD Technique  
  Authors : Supriya Hasarmani; Mangal Patil; P. R. Naregalkar
  Cite as:

 

In modern years there is no difficulty to make perfect copies which guide extensive unauthorized copying, which is an immense concern to the film, music, software and book publishing industries. Because of this unease over copyright issues, many technologies are developed to defend against illegal copying. Use of digital watermarks is one of these technologies. Watermarking does the embedding an ownership signal into the data directly. So that, the signal is always present with the data (image, audio, video). DWTDFT- SVD techniques are used in the proposed scheme to improve the robustness and overall computation requirements. The proposed algorithm is tested using three video sequences of different format. In this approach achieved PSNR of the original and watermarked video signal is more than 60 dB. The proposed scheme shows high robustness against several attacks.

 

Published In : IJCSN Journal Volume 4, Issue 6

Date of Publication : December 2015

Pages : 854 - 859

Figures :04

Tables : 02

Publication Link : Digital Video Watermarking Using DWT-DFT Transforms and SVD Technique

 

 

 

Supriya Hasarmani : Department of Electronics, BVUCOE Pune, Maharashtra, India

Mangal Patil : Department of Electronics, BVUCOE Pune, Maharashtra, India

P. R. Naregalkar : Department of Electronics, BVUCOE Pune, Maharashtra, India

 

 

 

 

 

 

 

Digital Video Watermarking

Discrete Fourier Transform (DFT)

Discrete Wavelet Transform (DWT)

Singular Value Decomposition (SVD)

Proposed Algorithm uses DWT, DFT and SVD for video Watermarking Process. This is tested for different video samples. Simulation results of this algorithm shows robustness against different attacks such as Gaussian noise, salt & pepper noise, median filter attack, rotation attack and image sharpening attack. We have proved that proposed method gives improved PSNR [More than 60dB] without compromising the video quality.

 

 

 

 

 

 

 

 

 

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