摘要
为了综合多个合成规则的优点,取得更好的双色中波红外图像融合效果,提出了基于变换域多合成规则的融合方法。采用支持度变换分别获得两个中波细分波段图像的低频成分图像和支持度图像序列;根据像素值最大法、区域特征最大法、区域特征加权法等合成规则的特点,提出了低频成分图像三个合成规则的组合方法;根据支持度图像的能量最大法、区域特征加权法等合成规则的特点,提出了支持度图像序列两个合成规则的组合方法。与单一合成规则的方法相比,融合后的图像局部标准偏差、局部粗糙度和融合质量参数分别提高了6.77%、4.86%和9.59%,实验结果证明了该融合方法的有效性。
To merge the merits of several diverse rules and product better fusion effectiveness of dual color mid- wave infrared images, a novel fusion scheme was presented based on multiple combination rules of transform domain coefficients. A low- frequency component image and a sequence of support value images of two subdivision band images of mid- wave infrared were obtained respectively with support value transform （SVT）. According to the characterizations of pixel value maximum rule, region feature maximum rule and region feature weighting rule, a combination method of multiple rules of low-frequency component images was presented. Meanwhile, according to the characterizations of energy maximum rule and region feature weighting rule, a combination method of multiple rules was presented for support value image sequence. Compared with the method based on single combination rule, local standard deviation, local coarseness and fusion quality metric of images fused by proposed method increased 6.77%, 4.86% and 9.59% respectively. The validity of fusion method proposed is proved by experimental results.
出处
《红外与激光工程》
EI
CSCD
北大核心
2014年第11期3663-3669,共7页
Infrared and Laser Engineering
基金
国家自然科学基金项目(6117105)
高等学校博士学科点专项科研基金(博导类)(20121420110004)
