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 …

Nowadays image processing and machine vision fields have become important research
topics due to numerous applications in almost every field of science. Performance in these …

In this paper, a Hessian matrix based multi-focus image fusion method is proposed. First, the
integral map is introduced for fast compute the Hessian matrix of source images at different …

The aim of multi-focus image fusion technology is to acquire an image of every scene all
focused on the same visual point at different focal settings. To achieve this goal, we propose …

Image fusion is a process of combining complementary information from multiple images of
the same scene into an image, so that the resultant image contains a more accurate …

In this study, we propose a new method for multifocus image fusion by combining with the
structure tensors of mixed order differentials and the multiscale neighborhood. In this …

In image fusion domain, generic pixel-based image fusion methods are sensitive to
imperfections of source images, and it therefore has much influence on the quality of the …

This paper focuses on developing an improved multi-focus image fusion (MFIF) algorithm.
Existing spatial domain algorithms dependent on the obtained fusion decision map still lead …

In multifocus image fusion, accurate detection of the focused pixel from source images is
crucial to improve the quality of fused result. Traditionally, the method developed in spatial …

In multiscale transform (MST)-based multifocus image fusion, the fusion rules of different
subbands are a significant factor that affects the fusion performance. However, dependence …