Results 101 to 110 of about 18,768,334 (232)
Real-time image dehazing by superpixels segmentation and guidance filter
Haze and fog had a great influence on the quality of images, and to eliminate this, dehazing and defogging are applied. For this purpose, an effective and automatic dehazing method is proposed.
Ali Kashif Bashir (11350188) +6 more
core
Unsupervised Dehazing on Real-World Images Using GANs [PDF]
Dehazing is an important pre-processing step in almost all computer vision systems deployed in outdoor settings. Existing dehaze methods are either based on heuristic image priors, or on models trained with hazy-clear image pairs of the same scene.
Chadha, Anjali
core
Enhanced DCP filter for Real-World Hazy Scenes [PDF]
Haze is an atmospheric phenomenon that considerably degrades the visibility of out- door scenes. This happens due to atmosphere particles that absorb and disperse the sunshine.
, Sanjay Sharma, Padma J Bonde
core +1 more source
Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing [PDF]
Although synthetic data can alleviate acquisition challenges in image dehazing tasks, it also introduces the problem of domain bias when dealing with small-scale data.
Xue, Minglong +3 more
core +1 more source
Single Image Dehazing and Edge Preservation Based on the Dark Channel Probability-Weighted Moments
The method of single image-based dehazing is addressed in the last two decades due to its extreme variating properties in different environments. Different factors make the image dehazing process cumbersome like unbalanced airlight, contrast, and ...
R. Yousaf +5 more
semanticscholar +1 more source
Road Object Detection in Foggy Complex Scenes Based on Improved YOLOv8
Focusing on the challenges of vehicle detection in foggy weather, especially the algorithm of low accuracy caused by small and incomplete targets in adverse weather conditions, a foggy weather vehicle detection algorithm based on improved lightweight ...
Long Cheng, Dan Zhang, Yan Zheng
doaj +1 more source
Improving Generative Adversarial Network on Subaqueous Dehazing System
We introduce our machine-learning method to remove the fog and haze in subaqueous image. Our model is based on CycleGAN, an ingenious unpaired image-to-image translation model, which can be applied to de-hazing task.
Chen, Yi-Fan
core
Equivariant Learning for Unsupervised Image Dehazing
Technical ...
Zhang Wen, Jiangwei Xie, Dongdong Chen
openaire +2 more sources
Single-image dehazing through non-homogeneous fog is an ill-posed inverse problem at the interface of imaging through scattering media and real-time perception.
Yicheng Ou +3 more
doaj +1 more source
Image Processing merupakan salah satu metode yang dapat membantu memperjelas visibilitas hilal dengan bantuan teleskop dan perangkat software. Metode pengolahan citra digital yang dihasilkan terdapat dua jenis, Tone Curve dan Dehaze.
Kusuma, Mochammad Yusuf Indra
core

