Dual-attention-guided network for ghost-free high dynamic range imaging
Ghosting artifacts caused by moving objects and misalignments are a key challenge in
constructing high dynamic range (HDR) images. Current methods first register the input low …
constructing high dynamic range (HDR) images. Current methods first register the input low …
Progressive joint low-light enhancement and noise removal for raw images
Low-light imaging on mobile devices is typically challenging due to insufficient incident light
coming through the relatively small aperture, resulting in low image quality. Most of the …
coming through the relatively small aperture, resulting in low image quality. Most of the …
Diverse image enhancer for complex underexposed image
The visual appearance of images changes in line with varying environmental light
conditions. Adjusting the exposure of various distorted images is a highly complex process …
conditions. Adjusting the exposure of various distorted images is a highly complex process …
Low-light image enhancement for UAVs with multi-feature fusion deep neural networks
A Singh, A Chougule, P Narang… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Object detection in low-light aerial images is a challenging problem due to considerable
variation in brightness and varying contrast. Deep learning-based approaches have recently …
variation in brightness and varying contrast. Deep learning-based approaches have recently …
Exploring and evaluating image restoration potential in dynamic scenes
In dynamic scenes, images often suffer from dynamic blur due to superposition of motions or
low signal-noise ratio resulted from quick shutter speed when avoiding motions. Recovering …
low signal-noise ratio resulted from quick shutter speed when avoiding motions. Recovering …
多尺度融合残差编解码器的低照度图像增强方法.
潘晓英， 魏苗， 王昊， 贾丰竹 - Journal of Computer-Aided …, 2022 - search.ebscohost.com
在低光照环境下, 由于光子数极少且噪声较大, 线阵相机的感光源不能充分曝光,
从而导致图像的质量下降. 为此, 提出一种多尺度融合的残差编解码器的低照度图像增强方法 …
从而导致图像的质量下降. 为此, 提出一种多尺度融合的残差编解码器的低照度图像增强方法 …
Low-light image enhancement network based on recursive network
F Liu, Z Hua, J Li, L Fan - Frontiers in Neurorobotics, 2022 - frontiersin.org
In low-light environments, image acquisition devices do not obtain sufficient light sources,
resulting in low brightness and contrast of images, which poses a great obstacle for other …
resulting in low brightness and contrast of images, which poses a great obstacle for other …
Attention-based broad self-guided network for low-light image enhancement
Z Chen, Y Liang, M Du - 2022 26th International Conference on …, 2022 - ieeexplore.ieee.org
Low-light image enhancement is widely used in many fields, such as target detection, face
recognition, and image segmentation. In recent years, Deep Learning methods have …
recognition, and image segmentation. In recent years, Deep Learning methods have …
End‐to‐End Retinex‐Based Illumination Attention Low‐Light Enhancement Network for Autonomous Driving at Night
R Zhao, Y Han, J Zhao - Computational Intelligence and …, 2022 - Wiley Online Library
Low‐light image enhancement is a preprocessing work for many recognition and tracking
tasks for autonomous driving at night. It needs to handle various factors simultaneously …
tasks for autonomous driving at night. It needs to handle various factors simultaneously …
Lightweight hdr camera isp for robust perception in dynamic illumination conditions via fourier adversarial networks
The limited dynamic range of commercial compact camera sensors results in an inaccurate
representation of scenes with varying illumination conditions, adversely affecting image …
representation of scenes with varying illumination conditions, adversely affecting image …