Image fusion based on neighborhood features of wavelet coefficients

CHEN Hong-bo; WANG Qiang; ZHANG Xiao-fei; WEI Chun-rong; ZHANG Chao-ying

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Image fusion based on neighborhood features of wavelet coefficients

更新时间：2020-08-12

- Image fusion based on neighborhood features of wavelet coefficients
- Optics and Precision Engineering Vol. 11, Issue 5, Pages: 516-522(2003)
- 作者机构：
  
  广西师范大学, 物理与信息工程学院,广西桂林,541004
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.74;TP391.7
- Received：16 March 2003，
  
  Revised：17 August 2003，
  
  Published Online：15 October 2003，
  
  Published：15 October 2003
- 稿件说明：
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陈洪波, 王强, 张孝飞, 韦春荣, 张超英. 基于小波系数邻域特征的图像融合[J]. 光学精密工程, 2003,(5): 516-522

CHEN Hong-bo, WANG Qiang, ZHANG Xiao-fei, WEI Chun-rong, ZHANG Chao-ying. Image fusion based on neighborhood features of wavelet coefficients[J]. Editorial Office of Optics and Precision Engineering, 2003,(5): 516-522
陈洪波, 王强, 张孝飞, 韦春荣, 张超英. 基于小波系数邻域特征的图像融合[J]. 光学精密工程, 2003,(5): 516-522 DOI：

CHEN Hong-bo, WANG Qiang, ZHANG Xiao-fei, WEI Chun-rong, ZHANG Chao-ying. Image fusion based on neighborhood features of wavelet coefficients[J]. Editorial Office of Optics and Precision Engineering, 2003,(5): 516-522 DOI：

摘要

在利用小波变换进行图像融合的基础上

研究了融合因子的选取方法。由于小波变换在时域和频域中同时具有良好的局部特性

为了很好地利用小波变换的这种特征

提出了利用小波系数的邻域特征(邻域方差)来定义融合因子的思想。评价融合算法的性能应该从融合图像的信息增加量和融合图像的失真度两个方面来评价

融合图像的熵用来描述融合图像的信息含量

相对熵可以描述融合图像的失真度

评价结果显示出其方法的实用性。实验表明该算法用于医学图像的融合能得到很好的效果。

Abstract

Selection of fusion-factors is essential for an image fusion process

and it is therefore studied by using wavelet transformation to do image fusion. In order to make better use of the excellent spatial-frequency characteristics of wavelet transformation

it is suggested to use the neighboring region features of wavelet coefficients

such as variance

to define the fusion factors. The performance of fusion algorithm should be evaluated by both the increase in information and the distortion degree of fused images

the entropy of fused image is used to express the amount of information contained in the image

and the crossing-entropy of fused image is used to express the distortion degree of fused image. Experimental results indicate that the algorithm proposed is excellent

and can be used to obtain very good fused medical images.

关键词

Keywords

references

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Related Institution

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