现代电子技术2018，Vol.41Issue(7)：71-74,79,5.DOI:10.16652/j.issn.1004-373x.2018.07.018
基于小波变换的图像融合算法研究
Research on image fusion algorithm based on wavelet transform
摘要
Abstract
The image fusion is an important way to improve the image quality,but the traditional algorithm is difficult to fuse the image effectively. In order to improve the quality of image fusion,an image fusion algorithm based on wavelet transform is proposed. Wavelet transform is performed for two original images to extract their wavelet coefficients. The different rules are used to fuse the wavelet coefficients at different levels,and then the wavelet transform is used to fuse the fused coefficients. The images with different types are adopted to test and analyze the image fusion results. The results show that the image after wavelet transform fusion is more natural and clearer,the proposed algorithm can improve the signal-to-noise ratio of the image,quicken the speed of image fusion,and can obtain more satisfactory image fusion effect than the comparing algorithms.关键词
图像质量/小波变换/神经网络/加权融合/信噪比/图像融合Key words
image quality/wavelet transform/neural network/weighted fusion/signal-to-noise ratio/image fusion分类
信息技术与安全科学引用本文复制引用
刘娜,田大为..基于小波变换的图像融合算法研究[J].现代电子技术,2018,41(7):71-74,79,5.基金项目
湖北省高校人文社科重点研究基地开放基金资助(2015YB005) Project Supported by the Open Foundation of Key Research Center for Humanities and Social Sciences in Hubei Province(2015YB005) （2015YB005）
