Results 11 to 20 of about 842,500 (318)
Towards Low Light Enhancement With RAW Images [PDF]
IEEE Transactions on Image Processing, 2022 In this paper, we make the first benchmark effort to elaborate on the superiority of using RAW images in the low light enhancement and develop a novel alternative route to utilize RAW images in a more flexible and practical way. Inspired by a full consideration on the typical image processing pipeline, we are inspired to develop a new evaluation ...
Haofeng Huang +4 more
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Low-light Image Enhancement Model with Low Rank Approximation [PDF]
Jisuanji kexue, 2022 Due to the influence of low lightness,the images acquired at dim or backlight conditions tend to have poor visual quality.Retinex-based low-light enhancement models are effective in improving the scene lightness,but they are often limited in hand-ling ...
WANG Yi-han, HAO Shi-jie, HAN Xu, HONG Ri-chang
doaj +1 more source
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method [PDF]
AAAI Conference on Artificial Intelligence, 2022 As the quality of optical sensors improves, there is a need for processing large-scale images. In particular, the ability of devices to capture ultra-high definition (UHD) images and video places new demands on the image processing pipeline.
Tao Wang +5 more
semanticscholar +1 more source
Low-Light Image Enhancement with Normalizing Flow [PDF]
AAAI Conference on Artificial Intelligence, 2021 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 ...
Yufei Wang +5 more
semanticscholar +1 more source
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement [PDF]
Computer Vision and Pattern Recognition, 2020 The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network.
Chunle Guo +6 more
semanticscholar +1 more source
Low-Light Image Enhancement with Wavelet-Based Diffusion Models [PDF]
ACM Transactions on Graphics, 2023 Diffusion models have achieved promising results in image restoration tasks, yet suffer from time-consuming, excessive computational resource consumption, and unstable restoration.
Hailin Jiang +4 more
semanticscholar +1 more source
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement [PDF]
Computer Vision and Pattern Recognition, 2020 Low-light image enhancement plays very important roles in low-level vision areas. Recent works have built a great deal of deep learning models to address this task.
Risheng Liu +4 more
semanticscholar +1 more source
Enhancing Low-Light Images Using Infrared Encoded Images
2023 IEEE International Conference on Image Processing (ICIP), 2023 Low-light image enhancement task is essential yet challenging as it is ill-posed intrinsically. Previous arts mainly focus on the low-light images captured in the visible spectrum using pixel-wise loss, which limits the capacity of recovering the brightness, contrast, and texture details due to the small number of income photons.
Tian, Shulin +5 more
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Low-Light Hyperspectral Image Enhancement
IEEE Transactions on Geoscience and Remote Sensing, 2022 Due to inadequate energy captured by the hyperspectral camera sensor in poor illumination conditions, low-light hyperspectral images (HSIs) usually suffer from low visibility, spectral distortion, and various noises. A range of HSI restoration methods have been developed, yet their effectiveness in enhancing low-light HSIs is constrained.
Xuelong Li, Guanlin Li, Bin Zhao
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Low Light Image Enhancement for Dark Images [PDF]
International Journal of Data Science and Analysis, 2020 Image plays an important role in this present technological world and leads to progress in multimedia communication, various research fields related to image processing, etc. Low-light image enhancement specifically addresses images captured in low-light conditions such as nighttime, where the common goal is to brighten and improve the contrast of the ...
Akshay Patil +4 more
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