5. Experimental results

In this section we demonstrate the performance of our algorithm using our proposed method on different standard videos with and without HEVC process, under different attacks. Furthermore, it will be compared with the method in [20]. Watermarked and unwatermarked versions of a frame of BasketballDrill video (832 480 pixels) are shown in Figure 10. The embedded and extracted watermarks of size 15 26 are shown in Figure 11; in fact, they are enlarged for illustration purposes.

Our algorithm performance will be evaluated in terms of PSNR between the original and the watermarked videos and the normalized correlation (NC) between the original and the extracted watermarks for the standard videos: Foreman, Akiyo, Football, BasketballDrill, and BasketballDrive. For the CIF (352 288) videos, a 9 11 watermark was used, while for the other two videos, the watermark in Figure 11(a) was used. In these tests, 100 frames were watermarked. Figure 12 shows the NC of the extraction process; moreover, Figure 13 shows the enhanced

correlation values using our detection algorithm, while Figure 14 shows the PSNRs

watermarking method and the method of [20] when different numbers of frames of Football video were used. The method of [20] gives a maximum PSNR of 30 dB for the Football video, while our method gives an average of 42 dB; moreover, the performance in terms of NCs for the Football video stream using our method and the method in [20] was evaluated. The NC of method in [20] has an average value of 0.73, while our method gave a smooth performance with an average value of

For further investigation and evaluation of the robustness of our technique, the test videos will be subjected to some familiar attacks. These include additive noise, cropping, sharpening, rotating, frame averaging process, and HEVC compression.

• The additive noise will be Gaussian with a mean of 0 and a variance of 0.01.

of the reconstructed frames. Figure 15 shows the PSNRs for the proposed

DWT-Based Data Hiding Technique for Videos Ownership Protection

0.99; this was shown as well in Figure 13.

DOI: http://dx.doi.org/10.5772/intechopen.84963

The attacks have the following characteristics:

• All the frames will be sharpened.

Figure 14.

Figure 15.

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frames of the video sequence Football are used.

• The salt-and-pepper noise has 1% noise density.

PSNRs of the test videos when the proposed watermarking process is used.

• Twenty-five percent of the even frames will be cropped.

• The even frames will be rotated 1 degree counterclockwise.

• Ten random frames will be averaged with their respective successors.

PSNRs of the proposed method (the blue line) and method of [20] (the green line) when different numbers of

Figure 10.

The first frame of (a) original BasketballDrill frame and (b) watermarked BasketballDrill frame.

Figure 11. (a) Original watermark and (b) recovered watermark.

Figure 12.

Normalized correlations of the proposed watermarking process.
