Image fusion based on CS of DWT-IRLS

Zun LI; Tong-Jun MIAO

doi:10.3788/YJYXS20173201.0035

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Image fusion based on CS of DWT-IRLS

Display and Image | 更新时间：2020-07-07

- Image fusion based on CS of DWT-IRLS
- Chinese Journal of Liquid Crystals and Displays Vol. 32, Issue 1, Pages: 35-39(2017)
- 作者机构：
  
  新乡学院物理与电子工程学院, 河南新乡 453000
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20173201.0035
  CLC： TP391.41
- Received：08 July 2016，
  
  Accepted：09 September 2016，
  
  Published：2017-01
- 稿件说明：
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Zun LI, Tong-Jun MIAO. Image fusion based on CS of DWT-IRLS[J]. Chinese journal of liquid crystals and displays, 2017, 32(1): 35-39.
DOI：

Zun LI, Tong-Jun MIAO. Image fusion based on CS of DWT-IRLS[J]. Chinese journal of liquid crystals and displays, 2017, 32(1): 35-39. DOI： 10.3788/YJYXS20173201.0035.

摘要

基于压缩感知的图像融合属于像素级层次的图像融合。传统的DWT压缩感知图像融合研究对象是整个稀疏系数，但小波系数中低频系数并非稀疏，因此影响融合质量。针对此，提出一种基于DWT-IRLS的压缩感知图像融合。首先对图像进行DWT转换，针对高频系数采样测量；然后对高频系数和低频系数进行融合，并且引入迭代权重最小二乘法（IRLS）算法，重构高频系数；最后经DWT逆转换，得到融合图像。实验证明：通过4个客观评价指标和主观评价对比，2组实验融合效果均得到提高。此方法在一定程度上可提高图像融合效果，具有一定的实用价值。

Abstract

Image fusion based on compressed sensing belongs to the level of image fusion at pixel level.Traditional image fusion based on DWT compressed sensing is for whole sparse coefficient.Because the coefficient of low frequency is not sparse

the quality of image fusion is bad.Aiming at this problem

this paper proposes the image fusion based on CS of DWT-IRLS.First

the image is decomposed by DWT and the coefficient of high frequency is measured;Then

the coefficient of low frequency and the coefficient of high frequency are fused in different domain

the coefficient of high frequency is reconstructed by IRLS algorithm;Finally

the fused image is obtained through inverse DWT. The experiment shows the fusion effect of 2 group is improved by comparison with four objective evaluation and subjective evaluation.This method can improve the image fusion

it has practical value.

关键词

Keywords

references

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