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 …

Homogeneous regions, which are smooth areas that lack blur clues to discriminate if they
are focused or non-focused. Therefore, they bring a great challenge to achieve high …

Modern developments in image technology enabled easy access to an innovative type of
sensor-based networks, Camera or Visual Sensor Networks (VSN). Nevertheless, more …

Image fusion is the process of integrating several source images into a single image that
provides more reliable information along with reduced redundancy. In this paper, a hybrid …

At present, infrared polarization and intensity image fusion algorithms often cause fused
images to appear fuzzy, making the fused image unable to be processed further. In this …

Medical image fusion presents the information given by different imaging modalities in a
single composite image. Fused image provides more clinical information useful for the …

The end-to-end approach that directly learns the mapping from multi-focus images to fused
images has been widely used recently, which achieves excellent performance in dealing …

One of the main drawbacks of the imaging systems is limited depth of field which prevents
them from obtaining an all-in-focus image of the environment. This paper presents an …

Multi-focus image fusion is a technique that merges partially focused images to create a
totally focused image. However, most existing focus measures suffer from inaccurate …

A novel image fusion technique is presented, aiming at resolving the fusion problem of noisy
images. In this paper, a new activity level measurement based on consecutive pixel intensity …