An effective multi-focus image fusion method is proposed to generate an all-in-focus image
with all objects in focus by merging multiple images. The proposed method first estimates …

This paper presents a novel region-based framework for multifocus image fusion. The core
idea is to segment the in-focus regions from the input images and merge them up to produce …

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 …

Being an efficient method of information fusion, multi-focus image fusion has attracted
increasing interests in image processing and computer vision. This paper proposes a multi …

Multi-focus image fusion is a common approach for extending the limited depth of field of
cameras. However, existing focus measures cannot accurately identify focused pixels in …

In conventional fusion methods for multi-focus images, the focus map generated by a focus
measure would usually be sensitive to mis-registration and noise, or produce badly-aligned …

Multi-focus image fusion aims to produce an all-in-focus image by integrating a series of
partially focused images of the same scene. A small defocused (focused) region is usually …

Multi-focus image fusion aims to extract the focused regions from multiple partially focused
images of the same scene and then combine them together to produce a completely focused …

Multi-focus image fusion integrates images from multiple focus regions of the same scene in
focus to produce a fully focused image. However, the accurate retention of the focused …

Focus detection based fusion algorithm is a vital alternative in multi-focus image fusion
applications. In this kind of fusion algorithms, focus detection measure is a key factor …