Displacement Estimation by 2-D Genetic Optimizer Algorithm for Image Sequence Coding

Chang Yilin; Li Feipeng & Hu Zheng

您当前的位置：

首页 >

文章列表页 >

Displacement Estimation by 2-D Genetic Optimizer Algorithm for Image Sequence Coding

更新时间：2025-12-08

- Displacement Estimation by 2-D Genetic Optimizer Algorithm for Image Sequence Coding
- Acta Electronica Sinica Issue 1, Pages: 61-66(1992)
- 作者机构：
  
  1. 西安电子科技大学
  2. 西安电子科技大学西安 710071
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：1992
- 稿件说明：
移动端阅览
[1]常义林,李飞鹏,胡征.序列图象编码中位移估值新算法——二维遗传优化算法[J].电子学报,1992,{4}(01):61-66.

Chang Yilin, Li Feipeng & Hu Zheng. Displacement Estimation by 2-D Genetic Optimizer Algorithm for Image Sequence Coding[J]. Acta Electronica Sinica, 1992, (1): 61-66.
[1]常义林,李飞鹏,胡征.序列图象编码中位移估值新算法——二维遗传优化算法[J].电子学报,1992,{4}(01):61-66. DOI：

Chang Yilin, Li Feipeng & Hu Zheng. Displacement Estimation by 2-D Genetic Optimizer Algorithm for Image Sequence Coding[J]. Acta Electronica Sinica, 1992, (1): 61-66. DOI：

摘要

本文分析了块匹配算法中几种快速搜索算法存在的问题

基于全局最优化思想提出一种新的位移估值算法——二维遗传优化算法。对帧间差值信号采用相同的编码方法时

该算法和二维对数搜索算法比较

所需编码比特数减少

恢复图象信噪比有所提高

运算复杂度也得到下降。

Abstract

In this paper

the weakness of several fast search algorithms is analysed and a new search algorithm called two dimention genetic optimizer algorithm （2-D GOA） is proposed based on global optimization. The computer simulation shows that the performance of 2-D GOA is better than that of other methods.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰