西安电子科技大学学报（自然科学版）2019，Vol.46Issue(1)：27-32,38,7.DOI:10.19665/j.issn1001-2400.2019.01.005
视觉显著性指导的红外与可见光图像融合算法
Fusion of infrared and visual images guided by visual saliency
摘要
Abstract
To obtain a high quality fused image consistent with characteristics of human vision,a novel image fusion method for infrared and visual images guided by visual saliency is proposed.First of all,for the given infrared and visible images,the modified Manifold Ranking algorithm is utilized to extract their visual salient areas respectively.Then,source images are decomposed in different scales and directions by Non-subsampled Contourlet Transform to obtain low frequency information and high frequency information. And results of visual saliency detection are used to guide the fusion rule of low frequency subband coefficients.Besides,the high frequency subband coefficients are fused owing to the local standard deviation criterion.Finally,the fused image is obtained by performing inverse Non-subsampled Contourlet Transform.Experimental results demonstrate that the proposed algorithm can not only assure the final fused images with clear detail information,but also highlight the infrared objects accurately,which presents agood vision effect and effectively enhances recognition probability of infrared and visible compound systems.关键词
图像融合/红外与可见光图像/非下采样轮廓波/视觉显著性Key words
image fusion/infrared and visible images/non-subsampled contourlet/visual saliency分类
信息技术与安全科学引用本文复制引用
易翔,王炳健..视觉显著性指导的红外与可见光图像融合算法[J].西安电子科技大学学报（自然科学版）,2019,46(1):27-32,38,7.基金项目
国家自然科学基金(61675160,61401343) （61675160,61401343）
高等学校学科创新引智计划(B17035) （B17035）
