新型优化小波变换的多聚焦图像融合研究
A Study on Novel Optimization Wavelet Transform for Multi-Focus Image Fusion
胡保玲 1解思博 2周祎2
作者信息
- 1. 巢湖学院计算机与人工智能学院,安徽巢湖 238024;巢湖学院电子工程学院,安徽巢湖 238024
- 2. 巢湖学院电子工程学院,安徽巢湖 238024
- 折叠
摘要
针对多聚焦图像融合效果不佳的问题,提出了一种新型优化小波变换的多聚焦图像融合方法,以改善图像的融合效果.根据小波变换将两张待融合图像A、B分解为低频/高频分量信息,分别利用优化的低频/高频分量融合规则对分解的低频/高频分量进行融合计算.在此基础上,采用小波反变换将融合后的低频/高频信息进行逆变换,以得到融合后的清晰图像信息.同时,利用融合质量评价指标来评估融合后图像的效果.结果表明,新型优化小波变换的多聚焦图像融合方法可有效地提高图像的融合效果.
Abstract
A multi-focus image fusion method based on novel optimization wavelet transform is proposed to improve the visual effect of image fusion.Two original fusion images A/B are decomposed into low-frequency/high-frequency components according to the wavelet transform,and the decomposed low-frequency/high-frequency components are calculated by using the improved fusion rules of low-frequency/high-frequency components,respectively.Based on this,the fusion information of the low-frequency/high-frequency component is replaced with clear image information.At the same time,the effect of the fusion image is analyzed by the fusion evaluation indicators.The experimental results show that the proposed method can effectively improve the fusion effect of the image.
关键词
小波变换/低频分量/高频分量/图像融合Key words
wavelet transform/low-frequency component/high-frequency component/image fusion引用本文复制引用
出版年
2024
NETL
NSTL
万方数据