摘要
图像融合规则对融合的质量起着主要的作用,但目前大部分基于小波变换的融合规则中,都是在输入图像的单一分解层上独立进行的。提出了一种基于互带能量和小波变换的图像融合方法。该方法在融合输入图像的细节信息时,同时考虑了输入图像的多个分解层的小波系数。实验结果表明,无论是依据均方根误差、信噪比、灰度平均误差等客观评价标准,还是视觉的主观评价,所提出的融合方法都能取得较好的性能。
Image fusion rule is the key that influences the quality of image fusion.At present,most of the rules which based on wavelet transform operate independently upon the single decomposition level of input images.This paper proposes a fusion rule based on the energy of cross band and wavelet transform.The method takes a number of decomposition levels＇ wavelet coefficients into account in the detail information fusion.The experimental results show that the proposed method can obtain good performance in terms of both objective evaluation criteria such as root-mean-square error,signal-to-noise ratio,mean error and visual subjective evaluation criteria.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第14期164-166,共3页
Computer Engineering and Applications
关键词
图像融合
互带能量
小波变换
主成分分析
image fusion
energy of cross band
wavelet transform
Principle Component Analysis（PCA）
