Optimized Bit Error on Video Water Marking With Quantum Indicator and Wavelet Sub-Bands

M.Sharmila Banu

Abstract


With substantial increase in computer networks, the World Wide Web and Social Network, have great demand in smoothly transmitting videos over the internet. However, many video publishers feared to transfer their digital video content on the Internet due to lack of security and the original videos content being corrupted. As a result, the video images to be sent over the Internet must be preserved and full proofed with watermarking technique. In this work, we presented a robust video watermarking framework Quantum Indicator based Wavelet Sub-band (QIWS), to improve the security and robustness of video being transmitted by significantly minimizing the Bit Error Rate and reduces video distortion. The QIWS framework allows packet sub-band frames passed through multiple filters to improve robustness. Wavelet sub banding formulates levels of inclinations on the watermarked video frames to significantly reduce the bit error rate. With the sub banding levels of inclinations, the synthesized watermark video frame is obtained by fine tuning the Quantum Indicator. Minimum Distance Forney Kovalev decoder is applied on the transmitted watermarked videos to reduce the peak signal to noise ratio (PSNR) and extract the original video content with better quality. Experimental results show that the proposed framework yields videos with lower peak signal to noise ratios compared with state-of-the-art video watermarking method while being efficient in terms of bit error rate, robustness and low extraction time considerations

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