Multi-exposure image fusion (MEF) is emerging as a research hotspot in the fields of image
processing and computer vision, which can integrate images with multiple exposure levels …

Deep learning networks have recently demonstrated yielded impressive progress for multi-
exposure image fusion. However, how to restore realistic texture details while correcting …

High Dynamic Range (HDR) images can be recovered from several Low Dynamic Range
(LDR) images by existing Deep Neural Networks (DNNs) techniques. Despite the …

Generating high-quality high dynamic range (HDR) images in dynamic scenes is particularly
challenging due to the influence of large motion. Despite the effectiveness of existing deep …

Nowadays, deep learning has made rapid progress in the field of multi-exposure image
fusion. However, it is still challenging to extract available features while retaining texture …

Underwater images regularly exhibit color deviation and low contrast attributed to
attenuation and scattering associated with wavelength and distance. For solving these two …

High Dynamic Range (HDR) imaging via multi-exposure fusion is an important task for most
modern imaging platforms. In spite of recent developments in both hardware and algorithm …

Multi-scale exposure fusion (MEF) is an efficient way to fuse differently exposed low dynamic
range (LDR) images of a high dynamic range (HDR) scene into an information enriched …

Recently, learning-based multi-exposure fusion (MEF) methods have made significant
improvements. However, these methods mainly focus on static scenes and are prone to …

Guided image filter (GIF) is an edge-preserving smoothing operator with low time
complexity; However, it does not preserve sharp edges, and therefore exhibits halo artifacts …