Results 1 to 10 of about 21,901,458 (195)
Generative adversarial network for low‐light image enhancement [PDF]
IET Image Processing, 2021 Low‐light image enhancement is rapidly gaining research attention due to the increasing demands of extreme visual tasks in various applications. Although numerous methods exist to enhance image qualities in low light, it is still undetermined how to ...
Fei Li +2 more
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A Survey of Deep Learning-Based Low-Light Image Enhancement
Sensors, 2023 Images captured under poor lighting conditions often suffer from low brightness, low contrast, color distortion, and noise. The function of low-light image enhancement is to improve the visual effect of such images for subsequent processing.
Zhen Tian +6 more
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Low-light Image Enhancement Using Cell Vibration Model
, 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 ...
X Lei (8002874) +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
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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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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
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RESTORATION OF LOW-LIGHT IMAGE BASED ON DEEP RESIDUAL NETWORKS [PDF]
ICTACT Journal on Image and Video Processing, 2023 Images captured in low-light conditions usually suffer from very low contrast, which increases the difficulty of computer vision tasks in a great extent.
Song Jun Ri +3 more
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Multiple scattering of light in optical diagnostics of dense sprays and other complex turbid media [PDF]
, 2006 Sprays and other industrially relevant turbid media can be quantitatively and qualitatively characterized using modern optical diagnostics. However, current laser based techniques generate errors in the dense region of sprays due to the multiple ...
Berrocal, Edouard
core +7 more sources
Low‐light image haze removal with light segmentation and nonlinear image depth estimation
IET Image Processing, 2022 Hazy image obtained in the low‐light environment has the characteristics of low contrast, non‐uniform illumination, color cast and much noise. In this paper, a method is put forward which can be properly applied to recover low‐light hazy images.
Jianwei Lv, Feng Qian, Bao Zhang
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Low‐light image enhancement for infrared and visible image fusion
IET Image Processing, 2023 Infrared and visible image fusion (IVIF) is an essential branch of image fusion, and enhancing the visible image of IVIF can significantly improve the fusion performance. However, many existing low‐light enhancement methods are unsuitable for the visible
Yiqiao Zhou +5 more
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