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 …

Due to the poor lighting condition and limited dynamic range of digital imaging devices, the
recorded images are often under-/over-exposed and with low contrast. Most of previous …

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 …

Multi-exposure image fusion (MEF) is considered an effective quality enhancement
technique widely adopted in consumer electronics, but little work has been dedicated to the …

In this paper, we present an end-to-end architecture for multi-exposure image fusion based
on generative adversarial networks, termed as MEF-GAN. In our architecture, a generator …

It is known that local filtering-based edge preserving smoothing techniques suffer from halo
artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating …

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 …

Guided image filter (GIF) is a well-known local filter for its edge-preserving property and low
computational complexity. Unfortunately, the GIF may suffer from halo artifacts, because the …

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 …

Image fusion is capable of processing multiple heterogeneous images acquired by single or
multi-sensor imaging systems for an improved interpretation of the targeted object or scene …