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Low Light Image Enhancement Based on Multi-Scale Network Fusion
IEEE Access, 2022 At present, researchers have made great progress in the research of object detection, however, these studies mainly focus on the object detection of images under normal lighting, ignoring the target detection under low light.
Xuan Liu +8 more
doaj +1 more source
Low Light Image Enhancement using MIRNet
International Journal For Multidisciplinary Research, 2023 With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing. Recently, convolutional neural networks (CNNs) have achieved dramatic improvements over conventional approaches for image restoration ...
MD Sana Meharaj - +4 more
openaire +1 more source
Attention-Based Network For Low-Light Image Enhancement [PDF]
2020 IEEE International Conference on Multimedia and Expo (ICME), 2020 The captured images under low light conditions often suffer insufficient brightness and notorious noise. Hence, low-light image enhancement is a key challenging task in computer vision. A variety of methods have been proposed for this task, but these methods often failed in an extreme low-light environment and amplified the underlying noise in the ...
Zhang, Cheng +5 more
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Making color infrared film a more effective high altitude sensor [PDF]
, 1968 Infrared color film for remote sensors at high ...
Bowden, L. W., Pease, R. W.
core +2 more sources
Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model [PDF]
IEEE International Conference on Computer Vision, 2023 In this paper, we rethink the low-light image enhancement task and propose a physically explainable and generative diffusion model for low-light image enhancement, termed as Diff-Retinex.
Xunpeng Yi +4 more
semanticscholar +1 more source
Gradient-Based Low-Light Image Enhancement [PDF]
2019 IEEE International Conference on Consumer Electronics (ICCE), 2019 A low-light image enhancement is a highly demanded image processing technique, especially for consumer digital cameras and cameras on mobile phones. In this paper, a gradient-based low-light image enhancement algorithm is proposed. The key is to enhance the gradients of dark region, because the gradients are more sensitive for human visual system than ...
Tanaka, Masayuki +2 more
openaire +2 more sources
Light field super resolution through controlled micro-shifts of light field sensor [PDF]
, 2018 Light field cameras enable new capabilities, such as post-capture refocusing and aperture control, through capturing directional and spatial distribution of light rays in space.
Gunturk, Bahadir K., Mukati, M. Umair
core +2 more sources
SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement [PDF]
Port Said Engineering Research Journal, 2021 The images taken in low-light conditions often have many flaws such as, color vividness and low visibility which negatively affects the performance of many vision-based systems.
Ghada Sandoub +3 more
doaj +1 more source
Characterisation of slow light in a waveguide grating [PDF]
, 2006 A grating was defined in a silicon nitride waveguide, using a combination of both conventional lithography and laser interference lithography. The structure was optically characterized in the 1520 – 1560 nm wavelength range by combining transmission ...
Hoekstra, Hugo J.W.M. +2 more
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LLNet: A deep autoencoder approach to natural low-light image enhancement [PDF]
Pattern Recognition, 2015 In surveillance, monitoring and tactical reconnaissance, gathering visual information from a dynamic environment and accurately processing such data are essential to making informed decisions and ensuring the success of a mission.
Kin Gwn Lore +2 more
semanticscholar +1 more source