Multi-exposure image fusion (MEF) is an important area in computer vision and has attracted
increasing interests in recent years. Apart from conventional algorithms, deep learning …

Multi-scale exposure fusion is an effective image enhancement technique for a high
dynamic range (HDR) scene. In this paper, a new multi-scale exposure fusion algorithm is …

In this paper, a novel multi-exposure image fusion method based on generative adversarial
networks (termed as GANFuse) is presented. Conventional multi-exposure image fusion …

This paper presents a new multi-exposure fusion algorithm. The conventional approach is to
define a weight map for each of the multi-exposure images, and then obtain the fusion …

The visual appearance of images changes in line with varying environmental light
conditions. Adjusting the exposure of various distorted images is a highly complex process …

Images captured by cameras in low-light conditions have low quality and appear dark due to
insufficient light exposure, which critically affects the view. Most of the traditional …

Image distortion during multiple-exposure capture is a common scenario, and most of the
existing legacy image content is in the low dynamic range (LDR). For both of these …

Traditional microscope imaging techniques are unable to retrieve the complete dynamic
range of a diatom species with complex silica-based cell walls and multi-scale patterns. In …

This paper presents an algorithm to produce ghosting-free High Dynamic Range (HDR)
image by fusing set of multiple exposed images in gradient domain. Recently proposed …

Modern imaging applications have increased the demand for High-Definition Range (HDR)
imaging. Nonetheless, HDR imaging is not easily available with low-cost imaging sensors …