… -based image fusion framework, in which each source image is decomposed into a base
layer and a detail layer, for multifocus image fusion … conventional multiscale transform based …

… about the multi-scale decomposition and sparse representation are … transform domain (NSST)
[41], a general framework for image fusion based on multi-scale transform and sparse …

… image fusion scheme is introduced based on two-scale image decomposition and sparse
representation. In the … Multi-scale transform (MST) fusion technique is popular in multimodality …

… Superiority over the latter SR-based methods is verified in the experimental results. … image
fusion. We will start by introducing some specific concepts related to sparse representation, so …

… represent the background and main structures information. Due to its high similarity, the sparse
representation is utilized based on … The multi-scale guided filter is designed with different …

… In our fusion framework, convolution sparse representation is computed by replacing the …
general framework for image fusion based on multi-scale transform and sparse representation…

… the feasibility of using image fusion to enhance the resolution of THz IC images. … algorithm,
sparse coding is usually used in local image blocks in SR-based image processing methods […

… multi-focus image fusion framework that … multi-scale sparse representation in gradient
domain (MSSRGD) that combines the advantages of the sparse representation and the multi-scale …

… energy, this paper proposes a new image fusion framework for nonsubsampled shearlet …
applied multi-scale decomposition to image fusion rather than sparse representation based …

… To get a merged image with improved graphical excellence … image fusion system based
on multi scale decomposition with convolutional neural network and sparse representation is …