Multi-Spectral Image Fusion Method Based on Sampled Two Channel Non-Separable Wavelets

LIU Bin; ZHU Qing; HU Fu-qiang; LIU Wei-jie

doi:10.3969/j.issn.0372-2112.2013.04.014

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Multi-Spectral Image Fusion Method Based on Sampled Two Channel Non-Separable Wavelets

更新时间：2025-07-16

- Multi-Spectral Image Fusion Method Based on Sampled Two Channel Non-Separable Wavelets
- Acta Electronica Sinica Vol. 41, Issue 4, Pages: 710-716(2013)
- 作者机构：
  
  1. 湖北大学数学与计算机科学学院,湖北,武汉,430062
  2. 武汉大学计算机学院,湖北,武汉,430072
  3. 湖北大学数学与计算机科学学院湖北武汉,430062
  4. 武汉大学计算机学院湖北武汉,430072
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2013.04.014
  CLC： TP391.4
- Published：2013
- 稿件说明：
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LIU Bin, ZHU Qing, HU Fu-qiang, et al. Multi-Spectral Image Fusion Method Based on Sampled Two Channel Non-Separable Wavelets[J]. Acta Electronica Sinica, 2013, 41(4): 710-716.
DOI：

LIU Bin, ZHU Qing, HU Fu-qiang, et al. Multi-Spectral Image Fusion Method Based on Sampled Two Channel Non-Separable Wavelets[J]. Acta Electronica Sinica, 2013, 41(4): 710-716. DOI： 10.3969/j.issn.0372-2112.2013.04.014.

摘要

针对基于非下采样不可分小波图像融合方法空间分辨率不高、基于张量积小波融合方法会出现方块效应的不足

提出了一种基于伸缩矩阵为[1

1;1

-1]的二通道采样不可分小波的多光谱图像和全色图像融合方法.利用矩阵扩充方法

构造了一组新的不可分低通滤波器和高通滤波器组

利用所设计滤波器组分别对多光谱图像的亮度分量和全色图像作下采样的多尺度不可分小波分解

分别对分解后的低频子图像和高频子图像按不同的融合规则进行融合.实验结果表明

其保持光谱信息的能力和保持空间分辨率信息的能力比基于IHS变换融合方法、基于DWT的融合方法、基于IHS-DWT的融合方法、基于IHS-Contourlet变换的融合方法、基于IHS-Curvelet变换的融合方法、SRF方法都强

与基于非下采样的二通道不可分正交小波和不可分双正交小波融合方法相比

该方法能保持较好的整体光谱信息和较高的空间分辨率信息.

Abstract

In order to solve the problems that the image fusion method based on separable discrete wavelet transform has block effect in the fused image and the spatial resolution is lower in the fusion result image of nonsubsampled non-separable wavelet transform

a new multispectral image fusion method based on sampled two channel non-separable wavelets is proposed.The filter banks relating to this kind ofwavelet are constructed.The multi-resolution decompositions of the intensity of the multispectral image and panchromatic image are performed in sampled mode using the constructed filter bank.The low frequency and high frequency coefficients are fused by different fusion rules.The experiment results show that this method has good visual effect.The fusion performance outperforms the IHS fusion method

the fusion method based on DWT

IHS-DWT

IHS-Contourlet transform

IHS-Curvelet transform and SRF in preserving spectral quality and high spatial resolution information.When compared with the fusion method based on nonsubsampled two-channel non-separable wavelet

the proposed method has been observed to have higher spatial resolution and good global spectral information.

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