Image fusion meets deep learning: A survey and perspective
Image fusion, which refers to extracting and then combining the most meaningful information
from different source images, aims to generate a single image that is more informative and …
from different source images, aims to generate a single image that is more informative and …
An experiment-based review of low-light image enhancement methods
W Wang, X Wu, X Yuan, Z Gao - Ieee Access, 2020 - ieeexplore.ieee.org
Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …
Learning to see in the dark
Imaging in low light is challenging due to low photon count and low SNR. Short-exposure
images suffer from noise, while long exposure can lead to blurry images and is often …
images suffer from noise, while long exposure can lead to blurry images and is often …
Deep image prior
Deep convolutional networks have become a popular tool for image generation and
restoration. Generally, their excellent performance is imputed to their ability to learn realistic …
restoration. Generally, their excellent performance is imputed to their ability to learn realistic …
Deep image prior
Deep convolutional networks have become a popular tool for image generation and
restoration. Generally, their excellent performance is imputed to their ability to learn realistic …
restoration. Generally, their excellent performance is imputed to their ability to learn realistic …
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 …
LLNet: A deep autoencoder approach to natural low-light image enhancement
In surveillance, monitoring and tactical reconnaissance, gathering visual information from a
dynamic environment and accurately processing such data are essential to making informed …
dynamic environment and accurately processing such data are essential to making informed …
Infrared and visible image fusion based on visual saliency map and weighted least square optimization
The goal of infrared (IR) and visible image fusion is to produce a more informative image for
human observation or some other computer vision tasks. In this paper, we propose a novel …
human observation or some other computer vision tasks. In this paper, we propose a novel …
Deep video deblurring for hand-held cameras
Motion blur from camera shake is a major problem in videos captured by hand-held devices.
Unlike single-image deblurring, video-based approaches can take advantage of the …
Unlike single-image deblurring, video-based approaches can take advantage of the …