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Progressive Side Information Refinement with Non-local Means Based Denoising Process for Wyner-Ziv Video Coding

机译:Wyner-Ziv视频编码中基于非局部均值的降噪过程的渐进式边信息细化

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摘要

On the basis of a non-local means denosing process, a novel progressive side information refinement framework for a transform domain Wyner-Ziv video codec is proposed, where the side information is progressively improved, as the decoding proceeds, by exploring both temporal-spatial similarities and already decoded DCT bands. Simulation results show up to 2.5dB in RD performance gain against that of the same codec without including the proposed side information refinement framework for sequences with high motion and/or large group-of-picture sizes. Moreover, the proposed framework adds no significant complexity to the decoder, and even results in a decoding speed-up due to the less required error correcting iterations, for most of the test sequences.
机译:在非局部均值去噪过程的基础上,提出了一种新的用于变换域Wyner-Ziv视频编解码器的渐进边信息细化框架,其中随着解码的进行,通过探索时空,边信息逐渐得到改善。相似性和已经解码的DCT频段。仿真结果表明,与同一个编解码器相比,RD性能增益高达2.5dB,而没有为高运动和/或大图片组大小的序列提供建议的边信息优化框架。而且,对于大多数测试序列,所提出的框架没有给解码器增加任何显着的复杂性,并且甚至由于较少的纠错迭代而导致了解码速度的提高。

著录项

  • 来源
  • 会议地点 Snowbird UT(US)
  • 作者

    Yun-Chung Shen;

  • 作者单位

    Grad. Inst. of Networking Multimedia, Nat. Taiwan Univ., Taipei, Taiwan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP311.56;
  • 关键词

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