Results 81 to 90 of about 303 (154)
Weighted Dark Channel Dehazing
CoRR, 2019 In dark channel based methods, local constant assumption is widely used to make the algorithms invertible. It inevitably introduces defects since the assumption can not perfectly avoid depth discontinuities and meanwhile cover enough pixels. Unfortunately, because of the limitation of the prior, which only confirms the existence of dark things but does
Mingzhu Zhu, Bing-Wei He, Jiantao Liu
openaire +3 more sources
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
Anomaly Detection of Small Targets in PBF Powder Spreading Process Based on Mask Fusion
IEEE AccessEnhancing the accuracy of anomaly detection in powder bed fusion, particularly for small-scale defects, remains an open challenge in additive manufacturing.
Peiyuan Li, Fei Xing, Weijun Liu
doaj +1 more source
LKD-Net: Large Kernel Convolution Network for Single Image Dehazing
, 2022 The deep convolutional neural networks (CNNs)-based single image dehazing methods have achieved significant success. The previous methods are devoted to improving the network's performance by increasing the network's depth and width.
Luo, Pinjun +3 more
core
A fast image dehazing method that does not introduce color artifacts
, 2020 We propose a method for color dehazing with four main characteristics: it does not introduce color artifacts, it does not depend on inverting any physical equation, it is based on models of visual perception, and it is fast, potentially real time.
Cyriac, Praveen +3 more
core +1 more source
Improving Generative Adversarial Network on Subaqueous Dehazing System
, 2020 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
MathematicsSingle-image dehazing of high-voltage power transmission lines (HPTLs) using deep learning methods confronts two critical challenges: the non-homogeneous haze distribution in HPTL images and the unavailability of paired clear images for supervised ...
Xiaoyi Cuan +4 more
doaj +1 more source
Customized m-RCNN and hybrid deep classifier for liver cancer segmentation and classification
HeliyonDiagnosing liver disease presents a significant medical challenge in impoverished countries, with over 30 billion individuals succumbing to it each year.
Rashid Khan +5 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
, 2016 Quality enhancement of images acquired in hazy conditions is a significant research area in civil and military applications. The polarimetric dehazing methods have been exploited to dehaze hazy images and have proven to be effective in enhancing their ...
Zhang, Wenfei +6 more
core +1 more source