Results 81 to 90 of about 3,318 (186)

Refining Transmission Map and Air Light for Efficient Single Image Dehazing

IEEE Access
Many dehazing methods have been presented by many researchers either on single hazy images or multiple images like videos. Single image dehazing is a very challenging problem, since there is no ground truth image and/or depth map. Beyond many traditional
Yucel Cimtay, Gokce Nur Yilmaz
doaj   +1 more source

WaveLiteDehaze‐Network: A Low‐Parameter Wavelet‐Based Method for Real‐Time Dehazing

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1033-1048, August 2025.
ABSTRACT Although the image dehazing problem has received considerable attention over recent years, the existing models often prioritise performance at the expense of complexity, making them unsuitable for real‐world applications, which require algorithms to be deployed on resource constrained‐devices.
Ali Murtaza, Uswah Khairuddin, Ahmad ’Athif Mohd Faudzi, Kazuhiko Hamamoto, Yang Fang, Zaid Omar   +5 more
wiley   +1 more source

Image Dehazing Using Residual-Based Deep CNN

IEEE Access, 2018
There is a series of image degradation in the image acquired in haze and other weather. The single image dehazing is a challenging and ill-posed problem.
Jinjiang Li, Guihui Li, Hui Fan
doaj   +1 more source

Depth-Guided Bilateral Grid Feature Fusion Network for Dehazing

Sensors
In adverse foggy weather conditions, images captured are adversely affected by natural environmental factors, resulting in reduced image contrast and diminished visibility.
Xinyu Li, Zhi Qiao, Gang Wan, Sisi Zhu, Zhongxin Zhao, Xinnan Fan, Pengfei Shi, Jin Wan   +7 more
doaj   +1 more source

Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework

, 2017
Deep learning models have gained great success in many real-world applications. However, most existing networks are typically designed in heuristic manners, thus lack of rigorous mathematical principles and derivations.
Cheng, Shichao, Fan, Xin, Liu, Risheng, Luo, Zhongxuan, Wang, Xiangyu   +4 more
core   +1 more source

End-to-End United Video Dehazing and Detection

, 2017
The recent development of CNN-based image dehazing has revealed the effectiveness of end-to-end modeling. However, extending the idea to end-to-end video dehazing has not been explored yet.
Feng, Dan, Li, Boyi, Peng, Xiulian, Wang, Zhangyang, Xu, Jizheng   +4 more
core   +1 more source

Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing. [PDF]

Sensors (Basel), 2023
Dong W, Wang C, Sun H, Teng Y, Xu X.
europepmc   +1 more source

Online knowledge distillation network for single image dehazing. [PDF]

Sci Rep, 2022
Lan Y, Cui Z, Su Y, Wang N, Li A, Zhang W, Li Q, Zhong X.   +7 more
europepmc   +1 more source

Combined constraint for single image dehazing

Electronics Letters, 2015
Existing single image dehazing techniques have limitations on estimating accurate transmission maps for pixels which do not meet the assumption of the dark channel prior. A combined constraint is presented for single image dehazing by taking both geometric and natural characteristics of outdoor images into consideration.
Renjie He, Zhiyong Wang, Yangyu Fan, David Dagan Feng   +3 more
openaire   +1 more source

A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images

Journal of Imaging, 2019
Underwater images are often acquired in sub-optimal lighting conditions, in particular at profound depths where the absence of natural light demands the use of artificial lighting.
Tunai Porto Marques, Alexandra Branzan Albu, Maia Hoeberechts   +2 more
doaj   +1 more source