摘要
对矩形和圆形区域中各像素进行亚像素划分,确定各亚像素的权值,得到基于亚像素的综合加权区域能量。融合算法首先对源图像进行金字塔分解,然后对金字塔的高频细节分量使用基于亚像素加权区域能量特征的融合规则取大,对低频粗糙分量取平均,得到融合图像的塔形分解,最后重构融合图像。仿真结果表明,新算法融合效果较常规的区域能量特征作为融合规则的多分辨率图像融合算法效果更好,从清晰度和熵的评价来看,提高了融合图像的品质。
Dividing pixels in rectangular and circular regions into subpixels and determining weight of each subpixel the composite weighted region energy of each pixel is obtained in the region. The source images are decomposed into multiresolution representation firstly. Then we select average of the coarse parts and maximal parts of the detail components based on the new weighted region energy as the fusion coefficients. Experimental results show that the proposed method has better fusion effects than traditional image fusion schemes based on the traditional region energy. From the evaluation of image definition and entropy,this method improves the quality of the fusion image.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2009年第10期2732-2737,共6页
Acta Optica Sinica
基金
国家自然科学基金(60672140)
教育部新世纪优秀人才支持计划(NCET-05-0912)资助课题
关键词
图像处理
图像融合
亚像素
区域能量
多尺度
image processing image fusion subpixel region energy multiscale
