A Blind Video Watermarking Technique for Indoor Video Content Protection using Discrete Wavelet Transform

被引:0
作者
Kadu, Sneha [1 ]
Naveen, Ch. [1 ]
Satpute, V. R. [1 ]
Keskar, A. G. [1 ]
机构
[1] VNIT Nagpur, Nagpur, Maharashtra, India
来源
2016 IEEE STUDENTS' CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER SCIENCE (SCEECS) | 2016年
关键词
Discrete Wavelet Transform (DWT); PSNR; Normalized Correlation Coefficient; SSIM; Gaussian noise; Salt and pepper noise;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, an highly effective algorithm for copyright protection is proposed using a simple and efficient embedding technique for DWT-based video watermarking for indoor video watermarking applications. Discrete Wavelet Transform (DWT) is applied on the video frame to achieve frequency domain representation of video sequences. The frequency domain representations of DWT are low pass and high pass components of which the low pass component is used to generate the key for each frame. This way the generated key is used at the receiver for extracting the watermark which results in copyright protection. Blind watermarking technique is followed in this paper, this needs only the key for extraction of hidden watermark. The advantage of this method is that it does not require the original video sequences for extraction. To scrutinize the robustness of the proposed algorithm, the original watermark image is equated with those of extracted watermark images by applying several attacks. The results are computed and the performance is evaluated based on the parameters Peak Signal to Noise Ratio (PSNR), Normalized Correlation Coefficient (NC) as well as Structural Similarity index (SSIM). The results illustrates that the process is a blind watermark technique and is highly robust against the different attacks and also for different noisy environments.
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页数:6
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