Due to the provision of a more natural representation of a scene in the form of left and right eye views, a stereoscopic imaging system provides a more effective method for image/video display. Unfortunately the vast amount of information that needs to be transmitted/stored to represent a stereo image pair / video sequence, has so far hindered its use in commercial applications. However, by properly exploiting the spatial, temporal and binocular redundancy, a stereo image pair or a sequence could be compressed and transmitted through a single monocular channel's bandwidth without unduly sacrificing the perceived stereoscopic image quality. [3]. We show that the proposed CODEC outperforms the benchmark CODECs in coding both main and auxiliary streams by up to 9.0 dB PSNR gain.
In this paper, we present a new technique for coding stereo video sequences based on H.264 [1] video codec. The proposed codec exploits disparity and worldline correlation in addition to the advance compression techniques inherited by the H.264 standard to achieve a higher video quality especially in the low bit rates. We compare the performance of the proposed CODEC with a DCT-based, modified MPEG-2 stereo video CODEC [2] and ZTE based stereo video CODEC
Distributed video coding (DVC), now has become one of the fastest evolving coding techniques in the current signal processing world. It has its remarkable low complex yet powerful encoder which is essential for some applications in the consumer market. In this paper we propose a novel WynerZiv architecture that splits a frame in to two sub frames and leave one as a Key subframe while encoding the other as a WZ sub frame. The split key sub frame is encoded using a conventional coding scheme as in the other DVC techniques. At the decoder end the sub key frame is used to exploit the spatial and temporal correlations using an intra prediction technique and temporal motion search in order to generate the side information for the corresponding WZ sub frame.Simulation results show that over 1dB PSNR gain can be obtained with the proposed algorithm over the results of the algorithm presented in the literature [7] at the same bit rate.
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