Deep learning for pixel-level image fusion: Recent advances and future prospects

Y Liu, X Chen, Z Wang, ZJ Wang, RK Ward, X Wang - Information fusion, 2018 - Elsevier
By integrating the information contained in multiple images of the same scene into one
composite image, pixel-level image fusion is recognized as having high significance in a …

Pixel-level image fusion: A survey of the state of the art

S Li, X Kang, L Fang, J Hu, H Yin - information Fusion, 2017 - Elsevier
Pixel-level image fusion is designed to combine multiple input images into a fused image,
which is expected to be more informative for human or machine perception as compared to …

Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

JI Orlando, H Fu, JB Breda, K Van Keer… - Medical image …, 2020 - Elsevier
Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …

Infrared and visible image fusion methods and applications: A survey

J Ma, Y Ma, C Li - Information fusion, 2019 - Elsevier
Infrared images can distinguish targets from their backgrounds based on the radiation
difference, which works well in all-weather and all-day/night conditions. By contrast, visible …

Image denoising review: From classical to state-of-the-art approaches

B Goyal, A Dogra, S Agrawal, BS Sohi, A Sharma - Information fusion, 2020 - Elsevier
At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Color balance and fusion for underwater image enhancement

CO Ancuti, C Ancuti… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
We introduce an effective technique to enhance the images captured underwater and
degraded due to the medium scattering and absorption. Our method is a single image …

Structure-revealing low-light image enhancement via robust retinex model

M Li, J Liu, W Yang, X Sun, Z Guo - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Low-light image enhancement methods based on classic Retinex model attempt to
manipulate the estimated illumination and to project it back to the corresponding reflectance …

Learning a deep single image contrast enhancer from multi-exposure images

J Cai, S Gu, L Zhang - IEEE Transactions on Image Processing, 2018 - ieeexplore.ieee.org
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 …

LIME: Low-light image enhancement via illumination map estimation

X Guo, Y Li, H Ling - IEEE Transactions on image processing, 2016 - ieeexplore.ieee.org
When one captures images in low-light conditions, the images often suffer from low visibility.
Besides degrading the visual aesthetics of images, this poor quality may also significantly …

LR3M: Robust low-light enhancement via low-rank regularized retinex model

X Ren, W Yang, WH Cheng, J Liu - IEEE Transactions on Image …, 2020 - ieeexplore.ieee.org
Noise causes unpleasant visual effects in low-light image/video enhancement. In this paper,
we aim to make the enhancement model and method aware of noise in the whole process …