东南大学学报（自然科学版）2017，Vol.47Issue(6)：1101-1106,6.DOI:10.3969/j.issn.1001-0505.2017.06.004
基于MSTO的含噪声多传感器图像融合算法
Fusion algorithm with multi-sensor noisy image based on MSTO
摘要
Abstract
In the multi-sensor noisy image fusion,it was easy to obtain the fused images with loss of image edges and low image contrast based on the general filter methods.A novel fusion algorithm with noisy infrared and visible light images was proposed based on a multi-scale sequential toggle operator (MSTO) and an improved bilateral filter method.First,the energy component and the detail component were obtained by MSTO multi-scale decomposition.The detail component was processed by Beamlet operator to filter noises while keeping edge information on the images.Then,the bright edge image and dark edge image with the energy image were calculated by MSTO,and added to the detail component to enhance edges.The maximum rule was used in the energy component fusion.MSTO inverse transform was used to decompose the fused detail component and the energy component.The experimental results show that method filters the noise,and extracts and enhances the contour and the edge details.The image fusion algorithm is effective in the multi-sensor noisy image fusion.关键词
多尺度顺序开关算子/Beamlet算子/融合/多传感器图像Key words
multi-scale sequential toggle operator/Beamlet operator/fusion/multi-sensor image分类
信息技术与安全科学引用本文复制引用
沈瑜,党建武,王阳萍,王小鹏,郭瑞..基于MSTO的含噪声多传感器图像融合算法[J].东南大学学报（自然科学版）,2017,47(6):1101-1106,6.基金项目
国家自然科学基金资助项目(61562057,61761027,51541902,51669010,61202314)、甘肃省自然科学基金资助项目(17JR5RA101)、长江学者和创新团队发展计划资助项目(IRT_16R36)、甘肃省“十三五”教育科学规划课题资助项目(GS[2016]GHB0217)、兰州交通大学教学改革资助项目(101004JGY201615). （61562057,61761027,51541902,51669010,61202314）
