基于残差补偿的增强下/上采样视频编码

Hangpu Cao, Xiaowen Liu, Yida Wang, Yuting Li, Weimin Lei
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引用次数: 1

摘要

基于上下采样的视频编码是解决传输带宽有限问题的有效策略。近年来,基于cnn的超分辨率方法也被整合到上述编码策略中。然而,如何平衡计算质量和重建质量是一个问题。为了缓解这一问题,我们提出了一种增强的基于下/上采样的视频编码方案,该方案利用残差数据来补偿重构视频中未恢复的细节。我们在编码器编码之前先对视频进行下采样,然后通过从原始视频帧中减去超分辨率重构视频帧来获得残差数据。剩余数据被编码并与低分辨率视频序列一起传输。解码器首先利用基于cnn的超分辨率方法对编码后的低分辨率视频进行重构,然后利用残差数据对重构后的视频进行细节补偿。为了进一步提高感知质量,我们使用质量增强网络对质量补偿视频进行增强。实验结果表明,与HEVC锚点和一般的上下采样方案相比,该方案取得了较好的质量提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Down/Up-Sampling-Based Video Coding Using the Residual Compensation
Down/up-sampling-based video coding is an effective strategy to cope with limited bandwidth for transmission. In recent years, CNN-based super-resolution methods have also been integrated into the above coding strategy. However, it raises a problem of how to balance the calculation and reconstruction quality. In order to alleviate this problem, we propose an enhanced down/up-sampling-based video coding scheme, in which residual data is used to compensate the unrecovered details of the reconstructed video. We first down-sample the video prior to encoding at the encoder and then obtain the residual data by subtracting the super-resolution reconstructed video frame from the original video frame. The residual data is encoded and transmitted together with the low-resolution video sequence. The decoder first reconstructs the encoded low-resolution video with CNN-based super resolution method, and then uses residual data to compensate the missing details of the reconstructed video. To further enhance the perceived quality, we use a quality enhancement network to enhance the quality-compensated video. The experimental results show that the proposed scheme achieves superior quality improvement compared with HEVC anchor and the general down/up-sampling schemes.
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