首页> 外文会议>Visual Communications and Image Processing '95 >Improved minimum distortion encoding algorithm for image vector quantization
【24h】

Improved minimum distortion encoding algorithm for image vector quantization

机译:用于图像矢量量化的改进的最小失真编码算法

获取原文

摘要

Abstract: An improved minimum distortion encoding method called predictive mean search (PMS) algorithm is proposed for image vector quantization in this paper. With the proposed method, the minimum distortion codeword can be found by searching only a portion of the codebook and its relative address to the origin of search is sent instead of absolute address. Two schemes are proposed to transmit the relative address of the minimum distortion codeword. Simulation results show that a significant reduction in both computations and bit-rates is achieved by using the proposed methods.!7
机译:摘要:提出了一种改进的最小失真编码方法,称为预测均值搜索(PMS)算法,用于图像矢量量化。利用所提出的方法,可以通过仅搜索码本的一部分来找到最小失真码字,并且发送其相对于搜索源的相对地址而不是绝对地址。提出了两种方案来发送最小失真码字的相对地址。仿真结果表明,使用所提出的方法,可以显着降低计算量和比特率!7

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