.png){kind=icon}
返回
A new dynamic finite-state vector quantization algorithm for image compression
.png){kind=icon}
PRE
AI
DOI：10.1109/83.877206.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The picture quality of conventional memory vector quantization techniques is limited by their supercodebooks. This paper presents a new dynamic finite-state vector quantization (DFSVQ) algorithm which provides better quality than the best quality that the supercodebook can offer. The new DFSVQ exploits the global interblock correlation of image blocks instead of local correlation in conventional DFSVQs, For an input block, we search the closest block from the previously encoded data using side-match technique. The closest block is then used as the prediction of the input block, or used to generate a dynamic codebook, The input block is encoded by the closest block, dynamic codebook or supercodebook. Searching for the closest block from the previously encoded data is equivalent to expand the codevector space; thus the picture quality achieved is not limited by the supercodebook, Experimental results reveal that the new DFSVQ reduces bit rate significantly and provides better visual quality, as compared to the basic VQ and other DFSVQs.
Keyword:
codebook
dynamic finite-state vector quantization
image compression
next-state function
vector quantization
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。
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
机构
暂无机构信息
引用论文
Applied land classification for surface water quality management: II. Land process classification
PREAI
分享收藏Integrative assessment of climate change for fast-growing urban areas: Measurement and recommendations for future research.png)
PLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏
分享收藏VECTOR-BASED SIGNAL-PROCESSING AND QUANTIZATION FOR IMAGE AND VIDEO COMPRESSIONPROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏
查看更多内容