Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

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 …

High dynamic range (HDR) deghosting algorithms aim to generate ghost-free HDR images
with realistic details. Restricted by the locality of the receptive field, existing CNN-based …

Standard digital cameras typically take images with under/overexposed regions because of
their sensors' limited dynamic range. The most common way to capture high dynamic range …

Ghosting artifacts caused by moving objects or misalignments is a key challenge in high
dynamic range (HDR) imaging for dynamic scenes. Previous methods first register the input …

We propose a simple yet effective structural patch decomposition approach for multi-
exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image …

In this paper, we present an attention-guided deformable convolutional network for hand-
held multi-frame high dynamic range (HDR) imaging, namely ADNet. This problem …

Exposure bracketing is crucial to high dynamic range imaging, but it is prone to halos for
static scenes and ghosting artifacts for dynamic scenes. The recently proposed structural …

High dynamic range (HDR) imaging from a set of sequential exposures is an easy way to
capture high-quality images of static scenes, but suffers from artifacts for scenes with …

Abstract Mapping Low Dynamic Range (LDR) images with different exposures to High
Dynamic Range (HDR) remains nontrivial and challenging on dynamic scenes due to …