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Highly Scalable Coding of Depth Maps with Arc Breakpoints

机译:具有弧断点的深度图的高度可伸缩编码

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摘要

Recent work highlights the importance of incorporating geometry information into the compression of depth maps. For many applications, features such as resolution scalability and embedded coding are also highly desirable. JPEG 2000 offers these scalability features but suffers from poor compression performance in the vicinity of strong discontinuities. We propose a novel compression strategy for depth maps that incorporates geometry information while retaining the highly scalable coding properties of JPEG 2000. Our scheme involves two separate image pyramid structures, one for arc breakpoints and other for sub-band samples produced by a breakpoint-adaptive transform. Breakpoints capture geometric attributes and are also amenable to scalable coding. We develop an R-D optimization framework for the breakpoint data. We also use a variation of the EBCOT scheme to produce embedded bit-streams for both the breakpoint and sub-band data, allowing them to be independently and incrementally sequenced based on R-D considerations.
机译:最近的工作强调了将几何信息纳入深度图压缩的重要性。对于许多应用,还非常需要诸如分辨率可伸缩性和嵌入式编码之类的功能。 JPEG 2000提供了这些可伸缩性功能,但是在强烈的不连续性附近遭受了较差的压缩性能。我们为深度图提出了一种新颖的压缩策略,该策略在保留JPEG 2000高度可扩展编码特性的同时,还包含了几何信息。我​​们的方案涉及两个单独的图像金字塔结构,一个用于弧断点,另一个用于断点自适应产生的子带样本。转变。断点捕获几何属性,并且也适用于可伸缩编码。我们为断点数据开发了R-D优化框架。我们还使用EBCOT方案的一种变体为断点和子带数据生成嵌入式位流,从而允许它们根据R-D考虑因素独立地进行增量排序。

著录项

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

    Mathew R.;

  • 作者单位

    Univ. of New South, Sydney, NSW, Australia;

  • 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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