Results 21 to 30 of about 3,318 (186)

SIDE—A Unified Framework for Simultaneously Dehazing and Enhancement of Nighttime Hazy Images

Sensors, 2020
Single image dehazing is a difficult problem because of its ill-posed nature. Increasing attention has been paid recently as its high potential applications in many visual tasks. Although single image dehazing has made remarkable progress in recent years,
Renjie He, Xintao Guo, Zhongke Shi
doaj   +1 more source

Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation

Sensors, 2021
Haze is a term that is widely used in image processing to refer to natural and human-activity-emitted aerosols. It causes light scattering and absorption, which reduce the visibility of captured images. This reduction hinders the proper operation of many
Dat Ngo, Gi-Dong Lee, Bongsoon Kang
doaj   +1 more source

Zero-Shot Remote Sensing Image Dehazing Based on a Re-Degradation Haze Imaging Model

Remote Sensing, 2022
Image dehazing is crucial for improving the advanced applications on remote sensing (RS) images. However, collecting paired RS images to train the deep neural networks (DNNs) is scarcely available, and the synthetic datasets may suffer from domain-shift ...
Jianchong Wei, Yi Wu, Liang Chen, Kunping Yang, Renbao Lian   +4 more
doaj   +1 more source

Improved dehazing techniques for maritime surveillance image enhancement [PDF]

Serbian Journal of Electrical Engineering, 2018
The subjective quality of images (human interpretation) is very important in long-range imaging systems, where the presence of haze directly influences visibility of the scene, by reducing contrast and obscuring objects.
Stojanović Branka, Milićević Saša, Stanković Srđan   +2 more
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An efficient single image dehazing algorithm based on transmission map estimation with image fusion

Engineering Science and Technology, an International Journal, 2022
Single image dehazing is always the focus of attention in the field of image processing. The major improvements in most optical scattering model based dehazing algorithms focused on the transmission map estimation since that the improper of transmission ...
Shuangyu Cheng, Bin Yang
doaj   +1 more source

A Nighttime and Daytime Single-Image Dehazing Method

Applied Sciences, 2022
In this study, the requirements for image dehazing methods have been put forward, such as a wider range of scenarios in which the methods can be used, faster processing speeds and higher image quality.
Yunqing Tang, Yin Xiang, Guangfeng Chen
doaj   +1 more source

Enhance Low Visibility Image Using Haze-Removal Framework

IEEE Access, 2023
We proposed a novel image enhancement framework to raise the visibility of the image’s content. Our primary concern is eliminating haze-like effects and simultaneously increasing images’ brightness.
Ping Juei Liu
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NTIRE 2020 Challenge on NonHomogeneous Dehazing

, 2020
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze ...
Ancuti, Codruta O., Ancuti, Cosmin, Chang, Jerome, Chang, Yu-Bang, Chao, Ju-Chin, Chen, Peng-Wen, Chen, Siyi, Cherukuri, Venkateswararao, Chuang, Shiue-Yuan, Das, Sourya Dipta, de Dravo, Vincent Whannou, Deng, Qili, Do, Jeonghyeok, Dong, Yu, Dutta, Saikat, Estrada, Dennis, Guo, Tiantong, Hsu, Po-Min, Huang, Ziling, Kim, Munchurl, Kong, Xiangzhen, Lee, David, Li, Xuelu, Liao, Tzu-Yi, Lin, Chang-Hong, Lin, Tsung-Nan, Liu, Jing, Ma, Lizhuang, Mandal, Murari, Mehra, Aryan, Metwaly, Kareem, Monga, Vishal, Narang, Pratik, Ouyang, Bing, Park, Jongmin, Qu, Yanyun, Raghunath, Navaneeth, Su, Tianqi, Sun, Bangyong, Sun, Chung-En, Timofte, Radu, Vasluianu, Florin-Alexandru, Wang, Meiqi, Wang, Zhan-Han, Wu, Haiyan, Wu, Pei-Yuan, Xie, Yuan, Yang, Tsung-Shan, Yu, Mingzhao, Yu, Zhe, Zhao, Xuan, Zhou, Hongyu   +51 more
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Underwater Single Image Dehazing Using the Color Space Dimensionality Reduction Prior

IEEE Access, 2020
Underwater images suffer from low visibility and contrast caused by absorption and scattering, which leads to haze and some further limitations. The existing underwater single image dehazing methods cannot achieve a balance between the performance and ...
Yongbin Liu, Shenghui Rong, Xueting Cao, Tengyue Li, Bo He   +4 more
doaj   +1 more source

Single Image Dehazing Using End-to-End Deep-Dehaze Network [PDF]

Electronics, 2020
Haze is a natural distortion to the real-life images due to the specific weather conditions. This distortion limits the perceptual fidelity, as well as information integrity, of a given image. Image dehazing for the observed images is a complicated task because of its ill-posed nature.
Masud An-Nur Islam Fahim, Ho Yub Jung
openaire   +1 more source