Results 31 to 40 of about 23,389,624 (289)
Low-Light Image Enhancement with Normalizing Flow
Proceedings of the AAAI Conference on Artificial Intelligence, 2022 To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many. Previous works based on the pixel-wise reconstruction losses and deterministic processes fail to capture the complex conditional distribution of normally exposed images, which results in improper brightness ...
Yufei Wang 0006 +5 more
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Retinex Low-Illumination Image Enhancement Algorithm Based on Light Image Estimation [PDF]
Jisuanji gongcheng, 2021 The images collected in low-illumination environment are limited in the contrast, and suffer from detail loss and noise interference.To address the problem, a Retinex-based method is proposed to improve illumination map estimation and realize low ...
HAN Mengyan, LI Liangrong, JIANG Kai
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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 ...
Masayuki Tanaka 0001 +2 more
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Low-Light Homomorphic Filtering Network for integrating image enhancement and classification
, 2021 Low-light image (LLI) enhancement techniques have recently demonstrated remarkable progress especially with the use of deep learning approaches. However, most existing techniques are developed as standalone solutions and do not take into account the ...
Tekli, Joe, Al Sobbahi, Rayan
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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
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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 ...
Cheng Zhang +5 more
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Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer [PDF]
, 2023 Image captured under low-light conditions presents unpleasing artifacts, which debilitate the performance of feature extraction for many upstream visual tasks.
Tang, Jiahui +4 more
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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
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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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
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