[1]郭凌鑫,袁丽英,王飞越. 非下采样离散小波变换多聚焦图像融合[J].哈尔滨理工大学学报,2018,(02):17-22.[doi:10. 15938 /j. jhust. 2018. 02. 004]
 GUO Ling-xin,YUAN Li-ying,WANG Fei-yue. Multi-focus Image Fusion Based on Non-subsampledDiscrete Wavelet Transform[J].哈尔滨理工大学学报,2018,(02):17-22.[doi:10. 15938 /j. jhust. 2018. 02. 004]
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 非下采样离散小波变换多聚焦图像融合()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2018年02期
页码:
17-22
栏目:
材料科学与工程
出版日期:
2018-04-25

文章信息/Info

Title:
 Multi-focus Image Fusion Based on Non-subsampled
Discrete Wavelet Transform
文章编号:
1007- 2683( 2018) 02- 0018- 05
作者:
 郭凌鑫 袁丽英 王飞越
 ( 哈尔滨理工大学自动化学院,黑龙江哈尔滨150080)
Author(s):
 GUO Ling-xin YUAN Li-ying WANG Fei-yue
 ( School of Automation,Harbin University of Science and Technology,Harbin 150080,China)
关键词:
 关键字: 图像融合 离散小波变换 非下采样离散小波变换
Keywords:
 image fusion discrete wavelet transform non-subsampled discrete wavelet transform
分类号:
TN911. 73
DOI:
10. 15938 /j. jhust. 2018. 02. 004
文献标志码:
A
摘要:
 图像融合在军事、医疗等领域有广泛的应用,图像融合技术是指采用特定的算法将两
幅或者多幅图像融合成为一幅新的图像。针对离散小波变换图像融合算法中下采样环节在每次滤
波后一半的系数被丢弃导致缺乏平移不变性,使得融合算法易受到源图像误配准影响的问题,提出
了一种基于非下采样离散小波变换的图像融合算法,采用窗口融合规则,并对融合系数进行一致性
检测,弥补下采样环节的不足,提高融合效果。通过对基于离散小波变换和基于非下采样离散小波
算法的图像多聚焦融合仿真研究表明,非下采样离散小波变换算法具有平移不变性,而且具有较高
融合图像互信息和峰值信噪比,融合效果优于离散小波变换图像融合算法。
Abstract:
 Image fusion is widely used in military,medical and other fields. Image fusion technology is to use
a specific algorithm to synthesize two or more images into a new image. Because of down sampling link of discrete
wavelet transform image fusion algorithm,half of the coefficients are discarded,resulting in the lack of translation
invariance. It makes the fusion algorithm easily affected by the error of source image registration. Due to these
shortcomings,an image fusion algorithm based on non-sampling discrete wavelet transform is proposed and window
fusion rule is also applied. The coefficient consistency detection makes up for the lack of sampling link and improve
the fusion effect. Through discrete wavelet transform and non-sampling discrete wavelet algorithm are applied to
image fusion respectively. Non-sampled discrete wavelet transform algorithm has translation invariance and it has
high mutual information and peak signal to noise ratio of fusion image. Non-sampled discrete wavelet transform
algorithm fusion effect is better than discrete wavelet transform image fusion algorithm.

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更新日期/Last Update: 2018-06-09