Efficient hybrid framework for transmission enhancement of composite 3D H.264 and H.265 compressed video frames

Abstract

Three-Dimensional Multi-View Video (3D-MVV) transmission over wireless networks suffers from losses. Therefore, the robust performance of 3D-MVV transmission techniques over wireless channels has become a recent hot research issue due to the restricted resources and the presence of severe channel errors. The 3D-MVV is composed of multiple video stream shots by several cameras around a single object, simultaneously. So, it is an urgent task to achieve high compression ratios to meet future bandwidth constraints. Unfortunately, the highly-compressed 3D-MVV data becomes more sensitive and vulnerable to packet losses, especially in the case of heavy channel errors. Thus, in this paper, we propose the application of a chaotic Baker map interleaving technique with equalization for efficient transmission of composite 3D-MVV compressed frames over an Orthogonal Frequency Division Multiplexing (OFDM) wireless channel. Rayleigh fading and Additive White Gaussian Noise (AWGN) are considered in the real scenario of 3D-MVV transmission. Firstly, the 3D-MVV content is compressed exploiting the intra- and inter-prediction correlations between frames. After that, a composite frame of luminance is generated from each four consecutive frames using Discrete Cosine Transform (DCT), which represents a second level of compression. The resultant composite frame is converted to binary data format. Then, chaotic interleaving is applied on the binary information prior to the modulation process. This chaotic interleaving is used to mitigate the OFDM induced Peak-to-Average Power Ratio (PAPR) problem and to reduce the wireless channel effects on the transmitted bit streams. It also adds a degree of encryption to the transmitted 3D-MVV compressed frames. To evaluate the performance of the proposed hybrid technique, several simulation experiments on different 3D-MVV frames have been executed. The experimental results show that the received 3D-MVV frames have high average Peak Signal-to-Noise Ratio (PSNR) gains up to 4.25 dB and a reduction of the average PAPR values by about 12 dB with the proposed hybrid technique compared to the other traditional techniques.