By integrating the information contained in multiple images of the same scene into one
composite image, pixel-level image fusion is recognized as having high significance in a …

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 …

In an image captured by a CCD/CMOS sensor with an optical lens, only the objects within
the depth of field are sharply focused. One way to get an everywhere-in-focus image is to …

Multi-focus image fusion technology is to extract different focused regions of the same scene
among partially focused images and merge them together to generate a composite image …

In this paper we propose image fusion algorithm using hierarchical PCA. Image fusion is a
process of combining two or more images (which are registered) of the same scene to get …

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

This paper proposed a novel fusion method for the infrared and visible image based on the
accurate extraction of the target region. Firstly, the super-pixels-based saliency analysis …

The effective measurement of pixel's sharpness is a key factor in multi-focus image fusion. In
this paper, a gray image is considered as a two-dimensional surface, and the neighbor …

Multi-focus image fusion is a technique of combining two images of the same scene with
diverse focuses into a single image. The single fused image has greater depth of field than …

This paper proposes a multi-spectral (MS) and panchromatic (Pan) image fusion approach
based on the flower pollination algorithm optimization (FPA). The FPA is used to get an …