摘要
提出了一种新的多算子小波分解图像融合算法,算法对输入图像进行多尺度小波分解,综合考虑同层各子带及相邻层子带小波系数图像特征描述的相关一致性,基于局部空间复合能量和局部相对能量差特征测度,采用多算子自适应融合规则构造融合图像,得到含有丰富细节特征的融合图像。
A new multi-operator wavelet-based decomposition image fusion algorithm is proposed.The new algorithm performs multi-scale wavelet decomposition.According to the relativity of the wavelet decomposition coefficients from multisub bands in a single wavelet pyramid level and more than a single wavelet pyramid level describing image feature,the new algorithm constructs fused image based on spatial local complex energy and relative difference measure in local energy,and adaptive multi-operator fusion rule.The fused image contains abundant detail feature.
出处
《光学技术》
CAS
CSCD
北大核心
2008年第1期85-88,91,共5页
Optical Technique
关键词
小波分解
特征提取
图像融合
wavelet decomposition
feature extraction
image fusion
