.png){kind=icon}
.png){kind=icon}
返回
A differential-index assignment scheme for tree-structured vector quantization
.png){kind=icon}
PRE
AI
DOI：10.1109/42.774171.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A differential index (DI) assignment scheme is proposed for the image encoding system in which a variable-length tree-structured vector quantizer (VLTSVQ) is adopted. Each source vector is quantized into a terminal node of VLTSVQ and each terminal node is represented as a unique binary vector. The proposed index assignment scheme utilizes the correlation between interblocks of the image to increase the compression ratio with the image quality maintained; Simulation results show that the proposed scheme achieves a much higher compression ratio than the conventional one does and that the amount of the bit rate reduction of the proposed scheme becomes large as the correlation: of the image becomes large. The proposed encoding scheme can be effectively used to encode MR images whose pixel values are, in:general, highly correlated with those of the neighbor pixels.
Keyword:
differential index (DI) assignment
medical image
TSVQ
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。