摘要
图像融合是图像处理中的关键技术之一。它在军事和民用图像处理领域获得了广泛的应用。提出了一种新的基于小波变换多尺度积的图像融合算法,小波变换多尺度积具有放大信号边缘特征和降低信号噪声的特点,有利于在融合图像中保持图像的细节特征。利用统计分析的评判准则,如熵、标准偏差评价图像的融合效果。实验结果表明该方法提高了图像的熵和标准偏差。在保留原图像信息的情况下增强了融合图像的细节信息。
Image fusion is the one of the key technologies in image processing. It can be used widely in the field of image processing of modem military and civilian. In this paper, a novel image fusion algorithm based on multiscale products of wavelet transform is proposed. The multiscale products of wavelet transform can magnify edge structure features and supress noises. It is beneficial to preserve detail of fusion image by using multiscale products.Entropy and standard deviation are used to evaluate image fusion performance. The results show the effectiveness of the method, which preserves the information of the original images and enhances their detail.
出处
《红外与激光工程》
EI
CSCD
北大核心
2007年第3期391-394,共4页
Infrared and Laser Engineering
基金
国家自然科学基金重点资助项目(10234070)
关键词
小波变换
多尺度积
图像融合
Wavelet transform
Multiscale product
Image fusion
