Image Fusion Combining Contrast Pyramid with Clonal Selection Based on Weighed Wedgelets

金海燕; 焦李成; 刘芳

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Image Fusion Combining Contrast Pyramid with Clonal Selection Based on Weighed Wedgelets

更新时间：2025-12-08

- Image Fusion Combining Contrast Pyramid with Clonal Selection Based on Weighed Wedgelets
- Vol. 41, Issue 10, Pages: 1170-1174(2007)
- 作者机构：
  
  西安电子科技大学智能信息处理研究所,西安,710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP751
- Online First：10 October 2007，
  
  Published：2007
- 稿件说明：
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金海燕, 焦李成, 刘芳. Image Fusion Combining Contrast Pyramid with Clonal Selection Based on Weighed Wedgelets[J]. 2007, 41(10): 1170-1174.
DOI：

金海燕, 焦李成, 刘芳. Image Fusion Combining Contrast Pyramid with Clonal Selection Based on Weighed Wedgelets[J]. 2007, 41(10): 1170-1174. DOI：

摘要

为增强融合图像的效果

提出了一种图像融合新方法.先利用对比度塔分解得到多分辨序列

然后利用加权Wedgelets变换和小波变换在图像序列相应尺度上融合源图像细节

并采用免疫克隆选择算法优化权值.新方法不仅有效保留了图像的细节和纹理

改善了视觉效果

而且使融合图像信息熵保持在较高水平.仿真实验结果表明

采用新方法所得到的图像像素平均梯度值比小波和Wedgelets方法分别提高了0.31和3.27

图像灰度值标准差分别提高了2.27和3.93.

Abstract

In order to improve the effect of fusion images

a novel image scheme is proposed

which uses weighed wedgelets and wavelet transform to fuse the details in corresponding image sequences of multiple scale obtained by the contrast pyramid data structure

and trains the weight by utilizing clonal selection algorithm. The proposed method improves the visual effects such as retaining the details and textures effectively and keeping the information entropy values of fused images at a high level. Simulation results show that compared with the conventional wavelet transform and wedgelets method

the average grad values of the image pixel is increased averagely by about 0.31 and 3.27 respectively

and 2.27 and 3.93 for the standard differences values.

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references

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