...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Computers >A Content-based Classified Hierarchical Vector Quantization Algorithm for Volume Compression
【24h】

A Content-based Classified Hierarchical Vector Quantization Algorithm for Volume Compression

机译：基于内容的分类层次向量量化算法

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

An improved volumetric compression algorithm is presented in this paper. Histogram technique is used for analyzing the trait of volume data. The volume data is then partitioned into volume bricks which will be classified into two groups, the blocks with meaningless information as one group(also called empty blocks), and those with meaningful information as the other group(also called object blocks). An efficient hierarchical VQ is applied to compress object blocks while for empty blocks, nothing is saved. Compare with analogous Volume Compression algorithm, experimental results demonstrate the proposed algorithm not only can improve the compression rate significantly on the premise of the good quality of reconstruction image, but also can obtain fast decoding speed.
机译：本文提出了一种改进的体积压缩算法。直方图技术用于分析体数据的特征。然后，将体数据划分为体砖，将体砖分为两类，将无意义信息的块作为一组（也称为空块），将具有有意义信息的块作为另一组（也称为对象块）。应用有效的分层VQ压缩对象块，而对于空块，则不保存任何内容。与类似的体积压缩算法相比，实验结果表明该算法不仅可以在重建图像质量良好的前提下显着提高压缩率，而且可以获得较快的解码速度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号