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Perceptual multiview video coding using synthesized Just Noticeable Distortion maps

机译:使用合成的“可察觉的失真”贴图进行感知多视图视频编码

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In this paper, a perceptual multiview video coding scheme is proposed, based on the synthesized Just Noticeable Distortion (JND) maps. In JND-based perceptual video coding, the residues after intra or inter prediction are tuned according to the corresponding JND thresholds to save the bits without affecting the perceptual quality. In our scheme, to reduce the computational cost of generating the multiview JND maps, only the JND maps of some anchor views are calculated directly. These maps are then used to synthesize the JND maps of other views via the block-based Depth Image Based Rendering (DIBR) method, which can be more than 30 times faster than direct computation with reasonable error. Experimental results show that the proposed scheme can improve the perceptual performance of the JMVC by more than 1 dB in terms of the Peak Signal Perceptual Noise Ratio (PSPNR).
机译:提出了一种基于JND(Just Noticeable Distortion)综合图的感知多视点视频编码方案。在基于JND的感知视频编码中,根据相应的JND阈值对帧内或帧间预测后的残差进行调整,以节省比特而不影响感知质量。在我们的方案中,为了减少生成多视图JND映射的计算成本,仅直接计算某些锚点视图的JND映射。然后,通过基于块的基于深度图像的渲染(DIBR)方法,将这些贴图用于合成其他视图的JND贴图,该方法比具有合理误差的直接计算快30倍以上。实验结果表明,该方案在峰值信号感​​知噪声比(PSPNR)方面可以将JMVC的感知性能提高1 dB以上。

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