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3D Dual-Tree Discrete Wavelet Transform Based Multiple Description Video Coding

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A 3D dual-tree discrete wavelet transform (DT-DWT) based multiple description video coding algorithm is proposed to combat the transmitting error or packet loss due to Internet or wireless network channel failure. Each description of the proposed multiple description coding scheme consists of a base layer and an enhancement layer. First, the input image sequence is encoded by a standard H.264 encoder in low bit rate to form the base layer, which is then duplicated to each description. Second, the difference between the reconstructed base layer and the input image sequence is encoded by a 3D dual-tree wavelet encoder to produce four coefficient trees. After noise-shaping, these four trees are partitioned into two groups, individually forming enhancement layers of two descriptions. Since the 3D DT-DWT equips 28 directional subbands, the enhancement layer can be coded without motion estimation. The plenty of directional selectivity of DT-DWT solves the mismatch problem and improves the coding efficiency. If all descriptions are available in the receiver, a high quality video can be reconstructed by a central decoder. If only one description is received, a side decoder can be used to reconstruct the source with acceptable quality. Simulation results have shown that the quality of reconstructed video by the proposed algorithm is superior to that by the state-of-the-art multiple description video coding methods.
机译:基于3D双树离散小波变换(DT-DWT)的多个描述视频编码算法,用于打击因因特网或无线网络信道故障而导致的发送误差或分组丢失。所提出的多个描述编码方案的每个描述包括基本层和增强层。首先,输入图像序列由标准H.264编码器以低比特率编码,以形成基本层,然后将其复制到每个描述。其次,重建基层和输入图像序列之间的差异由3D双树小波编码器编码以产生四个系数树。在噪声整形之后,将这四棵树分成两组,单独形成两个描述的增强层。由于3D DT-DWT提供28个方向子带,因此可以在没有运动估计的情况下进行编码增强层。 DT-DWT的大量方向选择性解决了不匹配问题并提高了编码效率。如果接收器中有所有描述,则可以由中央解码器重建高质量视频。如果仅接收到一个描述,则可以使用侧解码器以可接受的质量重建源。仿真结果表明,所提出的算法的重建视频的质量优于通过最先进的多个描述视频编码方法。

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