… Infrared and visible image fusion based on latent low-rank representation decomposition …
general framework for image fusion based on multi-scale transform and sparse representation…

… Weighted sparse representation regularized graph learning for RGB-T object tracking[C]// …
A general framework for image fusion based on multi-scale transform and sparse represen…

… On the performance of image quality measures with application to multifocused image
fusion[J]. International Journal of Signal Processing, Image Processing and Pattern Recognition , …

… 为了解决上述问题, 本文提出了一种基于多尺度特征频域分解滤波(multi-scale feature frequency
domain decomposition filtering, MSFDF) 的医学图像融合方法. 该方法在避免大规模时空开销…

… image fusion algorithms to improve image quality. The original algorithm uses the
Laplacian-Gaussian pyramid and the weight map for multi-scale fusion… negative sparse …

… A general framework for image fusion based on multi-scale transform and sparse represen…
CUFD: an encoderdecoder network for visible and infrared image fusion based on common …

… Considering target size is usually unknown in practice, multi-scale detection is adopted in
this paper (see the Algorithm 2), then the optimization of the parameters K 1 , K 2 , ···, K L (L is …

… Accelerated reconstruction of electrical impedance tomography images via patch based
sparse representation[J]. Review of Scientific Instruments, 2016, 87(11): 114707, doi: 10.1063/…

… image fusion based on compressed sensing and RPCA. Firstly, the initial images are
decomposed into sparse … and analys is on multi-scale electromagnetic was achieved considering …

… Performance assessment of combinative pixel-level image fusion based on an abso⁃ lute
feature measurement[J]. International Journal of In⁃ novative Computing,Information and …