… image fusion method based on domain transform filtering (DTF) and sparse representation
(SR)… First, infrared and visible images are decomposed using a low-pass filter into base and …

… an image fusion technique based on shearlet transformation and sparse representation
is … use that hybrid model for shearlet transform and sparse representation and to use de-noising …

… They firstly encode a direct mapping from source images to the weight map by training CNN.
A pyramid based multi-scale decomposition is then adopted to make fusion process more …

… Traditional multi-scale transform (MST) based image fusion solutions have difficulties in the
… loss in fused image. At the same time, traditional sparse-representation based image fusion …

… , sparse representation of classified image patches-based medical image fusion algorithm is
… The NSCT transform has the characteristics of multi-scale, multi-direction and shift-invariant, …

… image (HR-HSI) has recently attracted more and more attention. We propose a novel
spatial-spectral sparse representation (SSSR) based approach for the fusion … the fusion problem …

… the key to a successful image fusion method of sparse representation based models. In this
… and effective multi-scale sampling to implement a multi-scale representation of patches while …

… Wavelet, multi-scale transform, and total variation-based algorithm are the three most
widely used methods in both image fusion and denoising [13,14,15]. Sparse representation (SR) …

… of fused images we introduce two multi-scale convolutional blocks in feature extraction
and one in reconstruction modules with a little modification which was used in image super-…

… image fusion algorithms, thus we compare our proposed model with one representative
transform-… of our proposed model, ie, multi-scale transform and sparse representation based …