摘要
针对高动态范围(14 bit)红外图像融合后并不能直接用于显示的问题,设计了一种用于增强红外图像可视性的融合框架。利用数字全变分滤波器对图像分层处理,然后对每一层进行动态范围压缩,自适应的合成低动态范围图像(8 bit),再通过传统融合算法进行融合,得到可视性增强的低动态范围融合图像。实验结果表明,相较于目前已有的方法,该框架融合得到的信息量大,在增强对比度的同时能有效抑制噪声,明显改善融合图像的视觉效果。
Aiming at the problem that high dynamic range(14 bit) IR image cannot directly be used for displaying,a new fusion framework for enhancing visibility is proposed.Firstly the original image is separated into base-layer and detail-layer by digital total variation filter,then dynamic range is compressed and every single layer are recombined adaptively into low dynamic range(8 bit) IR image.Finally,through conventional fusion methods,image with enhanced visibility is obtained.Experimental results show that compared with the existing methods,the new approach can get more amount of information,effectively suppress noise with contrast-enhanced,and greatly improve the visual effect of fusion image.
出处
《红外技术》
CSCD
北大核心
2014年第5期365-371,共7页
Infrared Technology
基金
国家863计划资助项目
基金号:2011AA7031002G
国家十二五国防预研项目
基金号:41101050501
关键词
高动态范围
数字全变分滤波器
可视性
图像融合
high dynamic range
digital total variation filter
visibility
image fusion