High dynamic range (HDR) imaging is widely used in consumer photography, computer
game rendering, autonomous driving, and surveillance systems. Reconstructing ghosting …

Brightness order reversal could happen among shadow regions in a bright image and high-
light regions in a dark image if two large-exposure-ratio images are fused directly by using …

Single-image high dynamic range (SI-HDR) reconstruction has recently emerged as a
problem well-suited for deep learning methods. Each successive technique demonstrates …

In this paper, an unsupervised learning-based approach is presented for fusing bracketed
exposures into high-quality images that avoids the need for interim conversion to …

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 …

The captured images under low-light conditions often suffer insufficient brightness and
notorious noise. Hence, low-light image enhancement is a key challenging task in computer …

Existing works on exposure correction have exclusively focused on either underexposure or
over-exposure. Recent work targeting both under-, and over-exposure achieved state of the …

Multi-frame high dynamic range (HDR) reconstruction methods try to expand the range of
illuminance with differently exposed images. They suffer from ghost artifacts when camera …

Existing methods can generate a high dynamic range (HDR) image from a single low
dynamic range (LDR) image using convolutional neural networks (CNNs). However, they …

Backlit images are usually taken when the light source is opposite to the camera. The
uneven exposure (eg, underexposure on the foreground and overexposure on the …