The same sensor or a number of image sensors are used to take a series of photographs in
order to gather as much data as possible about the scene. Several imaging techniques are …

Image fusion is the process in which substantial information taken through different sensors,
different exposure values and at different focus points is integrated together to generate a …

Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth
recovery and 3D reconstruction method. One of the main stages in SFF is the computation of …

In this article, a novel low-light image enhancement (LIME) using reflection model and
principal component analysis (PCA) has been proposed. The proposed algorithm works …

Wavelet transform using Haar filter is a fast process for decomposing an image into low and
high frequency sub-bands, which is an important step in multi-focus image fusion. This …

In this paper, we propose a multi-focus image fusion approach based on Stationary Wavelet
Transform (SWT) and extended the Spatial Frequency Measurements (SFM). Our proposed …

Multi-focus image fusion (MIF) uses fusion rules to combine two or more images of the same
scene with various focus values into a fully focused image. An all-in-focus image refers to a …

Multi-focus image fusion (MFIF) has attracted considerable interests due to its numerous
applications. While much progress has been made in recent years with efforts on developing …

Multifocus image fusion is the process for enhancing the perception of a vision by combining
substantial information captured by the camera from different focus points. It is very difficult to …

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 …