Multi-focus image fusion is an effective technique to extend the depth-of-field of optical
lenses by creating an all-in-focus image from a set of partially focused images of the same …

Hyperspectral images (HSIs) have a cube form containing spatial information in two
dimensions and rich spectral information in the third one. The high volume of spectral bands …

Dynamic threshold neural P systems (DTNP systems) are a distributed parallel computing
model with an interesting mechanism involving the cooperative spiking of neurons in a local …

Multi-focus image fusion methods can be mainly divided into two categories: transform
domain methods and spatial domain methods. Recent emerged deep learning (DL)-based …

Abstract Multi-Focus Image Fusion (MFIF) is a method that combines two or more source
images to obtain a single image which is focused, has improved quality and more …

As an important branch in the field of image fusion, the multi-focus image fusion technique
can effectively solve the problem of optical lens depth of field, making two or more partially …

Multi-focus image fusion is an important way to obtain all-in-focus images. The goal is to
reconstruct all the focused pixels in the source image into the fused image. Generally, in …

Image fusion techniques have been widely used for multi-modal medical image fusion tasks.
Most existing methods aim to improve the overall quality of the fused image and do not focus …

Over the last two decades, radiologists have been using multi-view images to detect tumors.
Computer Tomography (CT) imaging is considered as one of the reliable imaging …

Image fusion is a long-established and well-known study area of digital image processing.
The reason is its substantial approach in several practical applications in which multi-focus …