摘要
提出了一种基于小波域的多尺度图像融合方法.对于高频细节部分和低频近似部分采用不同的融合规则,有效地克服了以往图像融合时容易受噪声干扰、空间细节信息丢失的缺点.通过计算机仿真,将融合结果与传统小波融合方法以及基于PCA的融合方法进行比较,该方法获得了更好的图像融合效果,是一种有效的图像融合算法.
A muhiscale image fusion method based on wavelet-domain is presented. Different fusion rules are adopted in high-frequency detailed parts and low-frequency approximate parts to overcome the disadvantages in image fusion which are easily disturbed by noise and subjected to loss of detailed imformation. At last , this paper compares the image fusion result with traditional wavelet image fusion and image fusion based on PCA methods through simulation, proving the effectiveness of the new algorithm.
出处
《应用科技》
CAS
2006年第10期1-4,共4页
Applied Science and Technology
基金
哈尔滨市学科后备带头人基金资助项目(2004AFXXJ033)
哈尔滨工程大学基础研究基金资助项目(HEUF04098)
黑龙江省杰出青年科学基金资助项目(JC-02-07)
关键词
小波域
小波变换
多尺度
图像融合
wavelet domain
wavelet transformation
multiscale
image fusion
