LiCENt: Low-Light Image Enhancement Using the Light Channel of HSL
IEEE Access, 2022 Images captured in low-brightness environments often lead to poor visibility and exhibit artifacts such as low brightness, low contrast, and color distortion.
Atik Garg, Xin-Wen Pan, Lan-Rong Dung
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Latitudinal variation of the solar photospheric intensity [PDF]
, 2007 We have examined images from the Precision Solar Photometric Telescope (PSPT) at the Mauna Loa Solar Observatory (MLSO) in search of latitudinal variation in the solar photospheric intensity.
Ada Ortiz +7 more
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Low-Illumination Image Enhancement Based on Deep Learning Techniques: A Brief Review
Photonics, 2023 As a critical preprocessing technique, low-illumination image enhancement has a wide range of practical applications. It aims to improve the visual perception of a given image captured without sufficient illumination.
Hao Tang +5 more
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Video enhancement using adaptive spatio-temporal connective filter and piecewise mapping [PDF]
, 2008 This paper presents a novel video enhancement system based on an adaptive spatio-temporal connective (ASTC) noise filter and an adaptive piecewise mapping function (APMF).
A Polesel +31 more
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Channel splitting attention network for low‐light image enhancement
IET Image Processing, 2022 Low‐light enhancement is a crucial task in computer vision because of the limited dynamic range of digital imaging devices in poor lighting conditions. Images taken under low‐light conditions often suffer from insufficient brightness and severe noise. At
Bibo Lu +3 more
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MAGAN: Unsupervised Low-Light Image Enhancement Guided by Mixed-Attention
Big Data Mining and Analytics, 2022 Most learning-based low-light image enhancement methods typically suffer from two problems. First, they require a large amount of paired data for training, which are difficult to acquire in most cases.
Renjun Wang +4 more
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Endoscopic image enhancement with noise suppression
Healthcare Technology Letters, 2018 Stereoscopic endoscopes have been used increasingly in minimally invasive surgery to visualise the organ surface and manipulate various surgical tools. However, insufficient and irregular light sources become major challenges for endoscopic surgery.
Wenyao Xia +2 more
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Enhancement of dronogram aid to visual interpretation of target objects via intuitionistic fuzzy hesitant sets [PDF]
, 2019 In this paper, we address the hesitant information in enhancement task often caused by differences in image contrast. Enhancement approaches generally use certain filters which generate artifacts or are unable to recover all the objects details in images.
Bhattacharyya, Siddhartha +3 more
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Semantically Contrastive Learning for Low-Light Image Enhancement
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images. In this paper, we respond to the intriguing learning-related question -- if leveraging both accessible unpaired over/underexposed images and high-level semantic guidance, can improve the performance of ...
Liang, Dong +7 more
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Focusing and Compression of Ultrashort Pulses through Scattering Media [PDF]
, 2011 Light scattering in inhomogeneous media induces wavefront distortions which pose an inherent limitation in many optical applications. Examples range from microscopy and nanosurgery to astronomy.
A Assion +46 more
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