… details from medical images by using multi-scale transform methods is a … fusion framework
for multimodal medical images to overcome the aforementioned limitation. In this framework…

… Then, sparse coding is carried out for each patch to learn an … image fusion method based
on multi-scale transformation by comprehensively considering optimization. The framework of …

… Multimodal medical image fusion technology … multi-scale decomposition based image
fusion methods exhibit low contrast and energy loss. And the sparse representation based fusion …

… fused coefficients and transform bases. Multi-scale transform(MST) is one of the most
popular fusion techniques in multi-modal image fusion. Starting with Discrete Wavelet …

… fostering this article are image fusion, filters, sparse representation. The underlying idea was
… Piella, ‘‘A general framework for multiresolution image fusion: From pixels to regions,’’ Inf. …

… based on multi-scale transform, sparse representation, edge-… have achieved remarkable
results in image fusion [16]. The … shearlet transforms [21,22,23] are widely used in multi-scale …

… Qiu, “Medical image fusion based on sparse representation of … , “A general framework for
image fusion based on multi-scale transform and sparse representation,” Information Fusion, vol…

… Based on multi-scale decomposition and anisotropic heat … -based multimodal image fusion
framework is presented in this section. As already mentioned, multimodal image fusion can …

… of sparse coding in classification, we propose a new approach for multi-focus image fusion
based … More specifically, we use one multi-scale decomposition based methods: Multi-scale …

… the field of image fusion. Panigrahy et al. [43] proposed a novel multi-focus image fusion
technique … neural network and multi-scale morphological gradient combining fractal dimension …