西安科技大学学报Issue(4)：480-485,6.DOI:10.13800/j.cnki.xakjdxxb.2015.0413
基于NSCT变换和压缩感知的图像融合二
Image fusion based on NSCT trasformation and compressive sensing
摘要
Abstract
Through NSCT transformation,an image will be decomposed into a low-pass sub-band and K-direction sub-bands,but the sparsity is different for each direction. Therefore,this paper proposes an im-proved CS NSCT way for fusion of infrared and visible light images. First,making a NSCT decomposition to the infrared image and visible light image,next doing compression to high frequency sub-bands by a-daptive compressive sensing,and after that to fuse them. For the low-pass sub-band,it uses block DCT of high frequency energy rule to fuse them. Finally,it gets fusion image by reconstruction of compressive sensing and inverse NSCT transformation for data which has been fused. The simulation shows that it not only improves parameters,such as entropy,and standard deviation,average gradient,but reduces the a-mount of data effectively.关键词
图像融合/压缩感知/非下采样contourlet变换/可见光/红外Key words
image fusion/compressive sensing/Non-subsample contourlet transform/infrared images/visible light images分类
信息技术与安全科学引用本文复制引用
吴延海,张烨,马孟新..基于NSCT变换和压缩感知的图像融合二[J].西安科技大学学报,2015,(4):480-485,6.基金项目
国家自然科学基金资助项目（61302133）；陕西省科技厅科技攻关计划项目（2011K09－36&2012K06－16）；陕西省教育厅科学研究计划项目 （）
