›› 2015, Vol. 28 ›› Issue (12): 100-.

• 论文 • 上一篇    下一篇

基于冗余小波变换的灰度多聚焦图像融合方法

董佳鹏,何建忠   

  1.  (上海理工大学 光电信息与计算机学院,上海 200093)
  • 出版日期:2015-12-15 发布日期:2015-12-15
  • 作者简介:董佳鹏(1991—),男,硕士研究生。研究方向:计算机模式识别图像处理。E-mail:814805205@qq.com

Gray Multi-Focus Image Fusion Based on Redundant Wavelet Transform

DONG Jiapeng,HE Jianzhong   

  1. (School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
  • Online:2015-12-15 Published:2015-12-15

摘要:

为弥补Mallat算法正交变换的缺陷以及获得更为有效的图像融合方法。文中给出了一种基于冗余小波变换的灰度多聚焦图像融合算法进行图像融合,选取不同焦点的灰度源图进行冗余小波变换。根据高低频系数特点,分别引入区域向量范数和局部对比度的概念,构建新的融合规则的算法。实验证明与其他融合算法相比文中算法具有更好的有效性与准确性。

关键词: 图像融合, 冗余小波变换, 多聚焦, 区域向量范数, 局部对比

Abstract:

This paper presents a gray multi-focus image fusion algorithm based on redundant wavelet transform for more efficient image fusion.Different focus gray source images are selected for redundant wavelet transform.The concepts of regional and local contrast vector norm of the construction of new fusion rules of arithmetic are introduced according to the characteristics of frequency coefficients respectively.Experiments show that the proposed method offers better efficiency and accuracy than other fusion algorithms.

Key words: image fusion;redundant wavelet transform;multi-focus;regional vector norm;local contrast

中图分类号: 

  • TP391.41