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计算机工程 ›› 2006, Vol. 32 ›› Issue (21): 22-24,3. doi: 10.3969/j.issn.1000-3428.2006.21.008

• 博士论文 • 上一篇    下一篇

基于局部信息熵及其分布特性的图像融合算法

张易凡,何明一   

  1. (西北工业大学电子信息学院,陕西省信息获取与处理重点实验室,西安 710072)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-11-05 发布日期:2006-11-05

Image Fusion Algorithm Based on Local Information Entropy and Its Distribution Property

ZHANG Yifan, HE Mingyi   

  1. (Shanxi Key Laboratory of Information Acquisition and Processing, School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072)
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-11-05 Published:2006-11-05

摘要: 提出了一种新的基于HIS模型的图像融合算法,根据源图像在有向梯度域中的局部信息熵及其分布情况确定融合准则。对实验结果的主观定性评价和客观定量分析说明,新算法在有效保持空间信息的同时,产生的光谱畸变较小,对全色图像中的噪声有一定的免疫力,从而克服了现有同类算法光谱失真严重和对源图像中噪声敏感的缺点。

关键词: 多光谱, 全色, 图像融合, 有向梯度塔形结构

Abstract: This paper proposes a new multispectral and panchromatic image fusion algorithm based on HIS model. The new algorithm determines fusion rule according to local information entropy and its distribution property in orientated gradient domain. The subjective qualitative evaluation and objective quantitative analysis of experiment results prove that this new algorithm can produce fusion image that preserves spatial characteristics effectively and introduces less spectral distortion. It is also less sensitive to the noise in source panchromatic image compared with some existing algorithms.

Key words: Multispectral, Panchromatic, Image fusion, Orientated gradient pyramid structure

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