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A variational framework for single low light image enhancement using bright channel prior
2013 IEEE Global Conference on Signal and Information Processing, 2013Low light image enhancement is prerequisite in many fields, such as surveillance systems, road safety and waterway transport. In this paper, a new variational framework using bright channel prior is proposed to address the low light image enhancement problem within a single image.
Xueyang Fu +4 more
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Single image haze removal using integrated dark and bright channel prior
Modern Physics Letters B, 2018In recent years, the dark channel prior (DCP) has been proven to be an adequate haze removal model. However, its procedure causes annoying halo and gradient reversal artifacts. To remove these issues, numerous filtering techniques have been designed and integrated with DCP.
Dilbag Singh, Vijay Kumar
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2020 IEEE Bombay Section Signature Conference (IBSSC), 2020
The image took in the dark light has low contrast, which affects the clarity of details in it. This results in the loss of information and details in poorly illuminated images. Such images are not suitable for computer vision analysis and observations. In many places, images taken in the dark light like CCTV images at night, military, satellite images,
Sudeep D. Thepade, Mrunal E. Idhate
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The image took in the dark light has low contrast, which affects the clarity of details in it. This results in the loss of information and details in poorly illuminated images. Such images are not suitable for computer vision analysis and observations. In many places, images taken in the dark light like CCTV images at night, military, satellite images,
Sudeep D. Thepade, Mrunal E. Idhate
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Computers and Electronics in Agriculture, 2018
Abstract Remote sensing technology has been widely used for monitoring crop fields and other agricultural applications. However, the clarity of remote sensing images is often affected by clouds and chaotic media in the atmosphere. Image dehazing can be achieved through the dark channel prior method (DCP), but there is always a brightness distortion ...
Jiawei Zhang +5 more
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Abstract Remote sensing technology has been widely used for monitoring crop fields and other agricultural applications. However, the clarity of remote sensing images is often affected by clouds and chaotic media in the atmosphere. Image dehazing can be achieved through the dark channel prior method (DCP), but there is always a brightness distortion ...
Jiawei Zhang +5 more
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Single Image Dehazing Based on Bright Channels Prior Compensation
2021 4th International Conference on Robotics, Control and Automation Engineering (RCAE), 2021Chen Deng +3 more
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A Hybrid L2 −LP Variational Model For Single Low-Light Image Enhancement With Bright Channel Prior
2019 IEEE International Conference on Image Processing (ICIP), 2019In this paper, we consider and study the norm variable and propose a hybrid L2−L p variational model with bright channel prior based on Retinex to decompose an observed image into a reflectance layer and an illumination layer. Different from the existing methods, our proposed model can preserve the reflectance layer with more fine details while ...
Gang Fu 0003, Lian Duan, Chunxia Xiao
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2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon), 2022
Sudeep D. Thepade, Mrunal Idhate
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Sudeep D. Thepade, Mrunal Idhate
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Nighttime Image Dehazing based on Bright and Dark Channel Prior and Gaussian Mixture Model
Proceedings of the 2023 6th International Conference on Image and Graphics Processing, 2023Jiazhi Yu +4 more
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Illumination compensation using Retinex model based on bright channel prior
Optics and Precision Engineering, 2018李赓飞 LI Geng-fei +4 more
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