Results 11 to 20 of about 21,901,458 (195)
Multi-Feature Guided Low-Light Image Enhancement
Applied Sciences, 2021 Due to the characteristics of low signal-to-noise ratio and low contrast, low-light images will have problems such as color distortion, low visibility, and accompanying noise, which will cause the accuracy of the target detection problem to drop or even ...
Hong Liang +3 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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Hierarchical guided network for low‐light image enhancement
IET Image Processing, 2021 Due to insufficient illumination in low‐light conditions, the brightness and contrast of the captured images are low, which affect the processing of other computer vision tasks.
Xiaomei Feng, Jinjiang Li, Hui Fan
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Retinex-Based Fast Algorithm for Low-Light Image Enhancement
Entropy, 2021 We proposed the Retinex-based fast algorithm (RBFA) to achieve low-light image enhancement in this paper, which can restore information that is covered by low illuminance. The proposed algorithm consists of the following parts.
Shouxin Liu +4 more
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Nonlinear Deblurring for Low-Light Saturated Image
Sensors, 2023 Single image deblurring has achieved significant progress for natural daytime images. Saturation is a common phenomenon in blurry images, due to the low light conditions and long exposure times.
Shuning Cao +4 more
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A degradation model for simultaneous brightness and sharpness enhancement of low-light image
, 2021 Although a large number of methods have been proposed for low-light image enhancement, there still remain challenges for these methods to simultaneously achieve excellent sharpness/resolution, high calculation efficiency as well as visual pleasure ...
Li, Pengliang +2 more
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Enhancement of Low-Light Images Using Illumination Estimate and Local Steering Kernel
Applied Sciences, 2023 Images acquired in low-light conditions often have poor visibility. These images considerably degrade the performance of algorithms when used in computer vision and multi-media systems.
Bong-Won Cheon, Nam-Ho Kim
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Exploring the Contributions of Low-Light Image Enhancement to Network-Based Object Detection
, 2021 Low-light is a challenging environment for both human and computer vision to perform tasks such as object classification and detection. Recent works have shown potential in employing enhancements algorithms to support and improve such tasks in low-light,
Yuen Peng Loh, Loh, Yuen Peng
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Low-Light Image Enhancement Based on Multi-Path Interaction
Sensors, 2021 Due to the non-uniform illumination conditions, images captured by sensors often suffer from uneven brightness, low contrast and noise. In order to improve the quality of the image, in this paper, a multi-path interaction network is proposed to enhance ...
Bai Zhao +3 more
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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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