Results 31 to 40 of about 12,335,378 (248)
Adaptive Enhancement of Extreme Low-Light Images
, 2023 Existing methods for enhancing dark images captured in a very low-light environment assume that the intensity level of the optimal output image is known and already included in the training set. However, this assumption often does not hold, leading to output images that contain visual imperfections such as dark regions or low contrast.
Evgeny Hershkovitch Neiterman +2 more
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Low-Light Video Enhancement with Synthetic Event Guidance
, 2023 Low-light video enhancement (LLVE) is an important yet challenging task with many applications such as photographing and autonomous driving. Unlike single image low-light enhancement, most LLVE methods utilize temporal information from adjacent frames to
An, Junfeng +8 more
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Improved Retinex-Theory-Based Low-Light Image Enhancement Algorithm
Applied Sciences, 2023 Researchers working on image processing have had a hard time handling low-light images due to their low contrast, noise, and brightness. This paper presents an improved method that uses the Retinex theory to enhance low-light images, with a network model
Jiarui Wang +3 more
doaj +1 more source
Low-light Image Enhancement Using the Cell Vibration Model [PDF]
, 2022 Low light very likely leads to the degradation of an image's quality and even causes visual task failures. Existing image enhancement technologies are prone to overenhancement, color distortion or time consumption, and their adaptability is fairly ...
Lei, Xiaozhou +9 more
core
Edge and Color Information Guided High-resolution Low-light Image Enhancement Algorithm [PDF]
Jisuanji kexueThe ability of the device to capture high-resolution images poses a new challenge to image processing,and most of the existing low-light image enhancement algorithms are designed for low-resolution images,and there are problems such as unclear details ...
ZHANG Ling, LI Zhenyu
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LoLTV: A Low Light Two-Wheeler Violation Dataset With Anomaly Detection Technique
IEEE Access, 2023 Detecting traffic violations is essential for improving road safety, ensuring rule compliance, and maintaining smooth traffic flow. It also aids in holding violators accountable and supports data-driven decision-making for infrastructure enhancements. To
Samprit Bose +3 more
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Convolutional Neural Network-Based Low Light Image Enhancement Method
Компьютерная оптикаWith advances in science and technology, remote sensing images are vital for vegetation monitoring. The use of remote sensing allows for the collection of widespread, multi-temporal data on vegetation, leading to a better comprehension and management of ...
M.X. Li, C.J. Xu
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A Comprehensive Study of Object Tracking in Low-Light Environments
SensorsAccurate object tracking in low-light environments is crucial, particularly in surveillance, ethology applications, and biometric recognition systems.
Anqi Yi, Nantheera Anantrasirichai
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Specularity Factorization for Low-Light Enhancement
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)CVPR 2024, Pages: 8(main)+4(references)+17(supp ...
Saurabh Saini, P. J. Narayanan
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Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Frontiers in Marine Science, 2022 Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie +5 more
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