吉林大学学报(理学版)

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基于小波变换的多聚焦图像融合方法

管飚   

  1. 阜阳师范学院 计算机与信息工程学院, 安徽 阜阳 236000
  • 收稿日期:2016-07-07 出版日期:2017-07-26 发布日期:2017-07-13
  • 通讯作者: 管飚 E-mail:110503402@qq.com

Multi-focus Image Fusion Method Based on Wavelet Transform

GUAN Biao   

  1. College of Computer and Information Engineering, Fuyang Normal University, Fuyang 236000, Anhui Province, China
  • Received:2016-07-07 Online:2017-07-26 Published:2017-07-13
  • Contact: GUAN Biao E-mail:110503402@qq.com

摘要: 为了改善图像融合效率, 针对当前图像融合方法存在的局限性, 提出一种基于小波变换的多聚焦图像融合方法. 首先确定最优的小波分解层数, 采用小波变换对图像进行多次分解; 然后考虑低频子带与高频子带各自的特点, 选择局部平均梯度准则作为高频子带的融合规则, 低频子带采用3个系数的平均值作为融合规则; 最后通过仿真实验对图像融合的有效性进行测试. 实验结果表明, 该方法获得了更理想的图像融合结果, 提高了融合后的图像质量, 且融合效果明显优于对比图像融合方法.

关键词: 图像融合, 融合规则, 多聚焦图像, 小波变换, 峰值信噪比

Abstract: In order to improve the efficiency of image fusion, aiming at the limitation of current image fusion methods, the author proposed a multifocus image fusion method based on wavelet transform. Firstly, the optimal wavelet decomposition level was determined, and wavelet transform was used to decompose image. Secondly, considering the characteristics of low frequency subband and highfrequency subband, the local average gradient criterion was chosen as the fusion rule of highfrequency subband, and the average value of three coefficients was used as the fusion rule of lowfrequency subband. Finally, the validity of image fusion was tested by simulation experiment. Experimental results show that the proposed method achieves more ideal image fusion results, and improves the quality of fused image. The fusion effect is better than the contrast image fusion method.

Key words: image fusion, fusion rule, multi-focus image, wavelet transform, peak signal to noise ratio

中图分类号: 

  • TP391.41