A Fast Fuzzy Vector Quantization Algorithm for Image Coding

Zhang Jihong; Xie Weixin

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A Fast Fuzzy Vector Quantization Algorithm for Image Coding

更新时间：2025-12-08

- A Fast Fuzzy Vector Quantization Algorithm for Image Coding
- Acta Electronica Sinica Issue 2, (1999)
- 作者机构：
  
  深圳大学信息工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.8
- Published：1999
- 稿件说明：
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[1]张基宏,谢维信.一种快速模糊矢量量化图像编码算法[J].电子学报,1999(02):107-109.

Zhang Jihong, Xie Weixin. A Fast Fuzzy Vector Quantization Algorithm for Image Coding[J]. Acta Electronica Sinica, 1999, (2).
[1]张基宏,谢维信.一种快速模糊矢量量化图像编码算法[J].电子学报,1999(02):107-109. DOI：

Zhang Jihong, Xie Weixin. A Fast Fuzzy Vector Quantization Algorithm for Image Coding[J]. Acta Electronica Sinica, 1999, (2). DOI：

摘要

本文在学习矢量量化（ＬＶＱ）和模糊矢量量化（ＦＶＱ）算法的基础上，设计了一种新的训练矢量超球体收缩方案和码书学习公式，提出了一种快速模糊矢量量化算法（ＦＦＶＱ）．该算法具有对初始码书选取依赖性小，不会陷入局部最小和运算量小的优点．实验表明，ＦＦＶＱ设计的图像码书性能与ＦＶＱ算法相比，训练时间大大缩短，峰值信噪比也有改善．

Abstract

In this paper

we design a new approach of the training vector hypersphere shrinking and codebook learning formula

and present a fast fuzzy vector quantization algorithm （FFVQ） based on the learning vector quantization （LVQ） and fuzzy vector quantization （FVQ） technique.It can reduce the dependence of resulting codebook on the initial codebook selection

is not trapped in local minimum and has low operational complexity.Simulation results show that as the image coding performance of FFVQ is compared with that of FVQ

the training time is reduced more

and the PSNR value is also improved.

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