Deep learning for pixel-level image fusion: Recent advances and future prospects
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 …
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
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 …
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
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 …
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
Infrared and visible image fusion methods and applications: A survey
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 …
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
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 …
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …
Color balance and fusion for underwater image enhancement
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 …
degraded due to the medium scattering and absorption. Our method is a single image …
Structure-revealing low-light image enhancement via robust retinex model
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 …
manipulate the estimated illumination and to project it back to the corresponding reflectance …
Learning a deep single image contrast enhancer from multi-exposure images
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 …
recorded images are often under-/over-exposed and with low contrast. Most of previous …
LIME: Low-light image enhancement via illumination map estimation
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 …
Besides degrading the visual aesthetics of images, this poor quality may also significantly …
LR3M: Robust low-light enhancement via low-rank regularized retinex model
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 …
we aim to make the enhancement model and method aware of noise in the whole process …