DWT-Based Data Hiding Technique for Videos Ownership Protection

This chapter proposes a wavelet data hiding scheme for video authentication and ownership protection. A watermark in the shape of a logo image will be hidden. In this research, a discrete wavelet transform (DWT) process is implemented using orthonormal filter banks, where the Y components of the YUV color space of the video frames are decomposed using DWT, and a watermark is inserted in one or more of the resulting sub-bands in a way that is fully controlled by the owner. Then, the watermarked video is reconstructed. The filters used for the DWT decompositions are randomly generated to increase the security of the algorithm. An enhanced detection technique is developed to increase the reliability of the system. The overall robustness of this scheme is measured when common attacks are applied to the test videos. Moreover, the proposed algorithm is used with the high-efficiency video coding (HEVC) technique to examine the whole performance. Furthermore, a selective denoising filter is built to eliminate the effect of the noise. The simulation results show that the proposed algorithm achieves well under both the visual and the metric tests. Moreover, it performed well against intentional and unintentional attacks. The average normalized correlation achieved is 97%, while the mean peak signal-to-noise ratio (PSNR) is 45 dB

Low Complexity Image Compression Algorithm for Wireless Channel

Pyramid coding with absolute moment block truncation coding (PC-AMBTC) technique is proposed for wireless image communication. The digital European cordless telecommunications (DECT) system is used as wireless communication environment. The impact of Channel fading on the PC-AMBTC technique is investigated and its performance is compared with other algorithms. The image is decomposed into two images (decimated image and the difference image). The AMBTC is used for the decimated image and a modified geometric vector quantization (MGVQ) is used for the difference image. Since most of the signal power and information is located in the low frequency band of the image, special attention is given to this band to protect its information from Channel fading errors. Simulation results show that the proposed technique is very robust to Channel fading errors. It is found that the performance of PC-AMBTC algorithm is better than the existing algorithms at the same bit rate

Low Complexity Image Compression Algorithm for Wireless Channel

Pyramid coding with absolute moment block truncation coding (PC-AMBTC) technique is proposed for wireless image communication. The digital European cordless telecommunications (DECT) system is used as wireless communication environment. The impact of Channel fading on the PC-AMBTC technique is investigated and its performance is compared with other algorithms. The image is decomposed into two images (decimated image and the difference image). The AMBTC is used for the decimated image and a modified geometric vector quantization (MGVQ) is used for the difference image. Since most of the signal power and information is located in the low frequency band of the image, special attention is given to this band to protect its information from Channel fading errors. Simulation results show that the proposed technique is very robust to Channel fading errors. It is found that the performance of PC-AMBTC algorithm is better than the existing algorithms at the same bit rate