In this study, we propose a target-enhanced multiscale transform (MST) decomposition
model for infrared and visible image fusion to simultaneously enhance the thermal target in …

In image fusion literature, multi-scale transform (MST) and sparse representation (SR) are
two most widely used signal/image representation theories. This paper presents a general …

To obtain an image with every object in focus, we always need to fuse images taken from the
same view point with different focal settings. Multiresolution transforms, such as pyramid …

Pixel-level image fusion integrates the information from multiple images of one scene to get
an informative image which is more suitable for human visual perception or further image …

Several remote sensing based indices have been developed for studying vegetation using
varied combinations of spectral bands. However, for regions like Gautam Buddha Nagar …

Multi-scale transform (MST) is an efficient tool for image fusion. Recently, many fusion
methods have been developed based on different MSTs, and they have shown potential …

Image fusion can produce a single image that describes the scene better than the individual
source image. One of the keys to image fusion algorithm is how to effectively and completely …

Multi-scale-based image fusion is one of main fusion methods, in which multi-scale
decomposition tool and feature extraction play very important roles. The quaternion wavelet …

Various fusion methods have been developed for improving data spatial resolution. The
methods most encountered in the literature are the intensity‐hue‐saturation (IHS) transform …

Medical image fusion increases accuracy of clinical diagnosis and analysis through
integrating complementary information of multi-modality medical images. A novel multi …