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 …

Pixel-level image fusion is designed to combine multiple input images into a fused image,
which is expected to be more informative for human or machine perception as compared to …

<? Pub Dtl=""?> Multimodal medical image fusion, as a powerful tool for the clinical
applications, has developed with the advent of various imaging modalities in medical …

Image fusion combines information from multiple images of the same scene to get a
composite image that is more suitable for human visual perception or further image …

Image fusion is a well-recognized and a conventional field of image processing. Image
fusion provides an efficient way of enhancing and combining pixel-level data resulting in …

Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and
parallel computing model, combining the spiking and coupled mechanisms of neurons. This …

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 …

Multimodal medical image fusion plays a vital role in different clinical imaging sensor
applications. This paper presents a novel multimodal medical image fusion method that …

In this paper, we address the problem of fusing multi-focus images in dynamic scenes. The
proposed approach consists of three main steps: first, the focus information of each source …

The goal of multi-focus image fusion is to integrate all focus pixels from the source images
into the fused result and simultaneously avoid the introduction of defocused pixels …