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Quality enhancement of quality-asymmetric multiview plus depth video by using virtual view

机译:使用虚拟视图质量增强质量不对称多视图和深度视频

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Currently, multiview video plus depth format is one of the most popular 3D data representations which enables to generate any required intermediate view in a certain range. However, in terms of encoding and decoding complexity and transmission bandwidth, it requires much more than the conventional 2D video or stereo video. Based on the binocular suppression theory, quality-asymmetric video in multiview system can alleviate this problem by using different coding qualities for different views. However, in order to reduce visual uncomfortableness and to make this video format more suitable for free-viewpoint television, the low quality views have to be improved to match the high quality ones. Hence, in this work we propose to enhance the low quality views in quality-asymmetric multiview video plus depth system by exploiting inter-view correlation to compensate compression distortion. The experimental results demonstrate the effectiveness of the proposed approach with an enhanced PSNR gain for the LQ view of up to 2.48dB and for the enhanced asymmetric coding quality over the symmetric coding quality of up to 1.21dB.
机译:目前,多视图视频加深度格式是最流行的3D数据表示之一,它能够在一定范围内生成所需的中间视图。然而,就编码和解码复杂度和传输带宽而言,它需要远远超过传统的2D视频或立体视频。基于双目抑制理论,多视图系统中的质量不对称视频可以通过使用不同的编码质量进行不同视图来缓解此问题。然而,为了降低视觉不舒服并使这种视频格式更适合自由视电视,必须改善低质量视图以匹配高质量的视图。因此,在这项工作中,我们建议通过利用视图间相关性来提高质量不对称多视图视频加深度系统的低质量视图,以补偿压缩失真。实验结果表明,所提出的方法具有增强的PSNR增益的有效性,用于LQ视图高达2.48dB,并且对于高达1.21dB的对称编码质量的增强的不对称编码质量。

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