Results 101 to 110 of about 11,754,470 (203)

Spatial-frequency complementary fusion network for dehazing with multi-scale and attention modules

Scientific Reports
Single image dehazing is a challenging ill-posed problem. It aims to estimate the latent haze-free image from the observed hazy image. In recent years, learning-based methods have demonstrated their superiority in single image dehazing.
Chenguang Yan, Gang Liu
doaj   +1 more source

An image dehazing method combining adaptive dual transmissions and scene depth variation

Journal of Measurement Science and Instrumentation, 2023
Aiming at the problems of imprecise transmission estimation and color cast in single image dehazing algorithms, an image dehazing method combining adaptive dual transmissions and scene depth variation is proposed.
LIN Lei, YANG Yan
doaj  

Multi-level fusion dehazing network based on learning of hazy layers

Journal of Measurement Science and Instrumentation, 2023
Aiming at the problems such as color cast and incomplete haze removal in dehazing algorithms, a multi-level feature fusion network based on the learning of hazy layers is proposed for single image dehazing.
WANG Rong, YANG Yan
doaj  

Haze-Aware Attention Network for Single-Image Dehazing

Applied Sciences
Single-image dehazing is a pivotal challenge in computer vision that seeks to remove haze from images and restore clean background details. Recognizing the limitations of traditional physical model-based methods and the inefficiencies of current ...
Lihan Tong, Yun Liu, Weijia Li, Liyuan Chen, Erkang Chen   +4 more
doaj   +1 more source

DehazeMamba: large multi-modal model guided single image dehazing via mamba

Visual Intelligence
Deep neural networks have achieved significant success in image dehazing. However, existing backbones face an irreconcilable trade-off between the global receptive field and computational efficiency, hindering further applications.
Ruikun Zhang, Zhiyuan Yang, Liyuan Pan
doaj   +1 more source

Enhance Dehazed Images Rapidly Without Losing Restoration Accuracy

IEEE Access
We proposed a novel image-enhancing framework to ensure consolidated restoration accuracy when remedying the visual quality of dehazed images, such as over-saturation, color deviation, or luminance issues. Conventionally, the dehazing process was usually
Ping-Juei Liu
doaj   +1 more source

Equivariant Learning for Unsupervised Image Dehazing

CoRR
Technical ...
Zhang Wen, Jiangwei Xie, Dongdong Chen
openaire   +2 more sources

Dehazing quality evaluation algorithm integrating dark channel theory and image depth estimation [PDF]

Image dehazing is an important research topic and hotspot in the fields of image processing and computer vision. Therefore, evaluating the performance of image dehazing algorithms has become an import research issue.
Zhao, Wan Qi, Guerra Paradas, Edmundo, Huang, Jiayan, Luo, Shao Ye, Grau Saldes, Antoni, Fan, Haoyi, Wang, Chuansheng, Zhang, Fuquan, Xu, Xin Xin   +8 more
core   +1 more source

MCADNet: A Multi-Scale Cross-Attention Network for Remote Sensing Image Dehazing

Mathematics
Remote sensing image dehazing (RSID) aims to remove haze from remote sensing images to enhance their quality. Although existing deep learning-based dehazing methods have made significant progress, it is still difficult to completely remove the uneven ...
Tao Tao, Haoran Xu, Xin Guan, Hao Zhou
doaj   +1 more source

Remote Sensing Image Dehazing via RGB-Space Physical Constraints. [PDF]

Sensors (Basel)
Shen M, Jiang X, Shao C, Zhang H, Ju M.
europepmc   +1 more source