A New Vector Quantization Image Coding Algorithm Based on Evolutionary Simulated Annealing

YONG Zheng-zheng; LUO Ping; Q.H.Wu; L.Meng

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A New Vector Quantization Image Coding Algorithm Based on Evolutionary Simulated Annealing

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- A New Vector Quantization Image Coding Algorithm Based on Evolutionary Simulated Annealing
- Acta Electronica Sinica Vol. 29, Issue 5, Pages: 653-656(2001)
- 作者机构：
  
  1. 深圳大学信息工程学院,深圳,518060
  2. 英国利物浦大学电气与电子工程系,利物浦,L63 3GL
  3. 深圳大学信息工程学院深圳,518060
  4. 英国利物浦大学电气与电子工程系利物浦,L63 3GL
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.81
- Published Online：25 May 2001，
  
  Published：2001
- 稿件说明：
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YONG Zheng-zheng, LUO Ping, Q.H.Wu, et al. A New Vector Quantization Image Coding Algorithm Based on Evolutionary Simulated Annealing[J]. Acta Electronica Sinica, 2001, 29(5): 653-656.
DOI：

YONG Zheng-zheng, LUO Ping, Q.H.Wu, et al. A New Vector Quantization Image Coding Algorithm Based on Evolutionary Simulated Annealing[J]. Acta Electronica Sinica, 2001, 29(5): 653-656. DOI：

摘要

模拟进化和模拟退火是解决全局优化问题的随机搜索技术

它们在工程领域有着广泛的应用.本文将这两种技术有机结合

提出了一种进化模拟退火算法

并用其解决图像编码矢量量化码书设计问题.实验表明

算法具有收敛速度快、码书性能佳等优点.

Abstract

Simulated evolution and simulated annealing are two stochastic search algorithms for solving the global optimization problems.They have been widely used in different engineering areas.An evolutionary simulated annealing algorithm has been proposed in this paper which combines simulated evolution with simulated annealing to solve the codebook design problems of vector quantization for image coding.The simulation results show the algorithm has fast convergence rate and excellent performance for codebook.

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