Results 111 to 120 of about 11,243,828 (208)

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

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

Perceptual evaluation of single image dehazing algorithms

, 2015
Images captured in outdoor scenes often suffer from poor visibility and color shift due to the presence of haze. Although many algo-rithms have been proposed to remove the haze, not much effort has been made on quality assessment of dehazed images.
Zhou Wang, Wentao Liu, Kede Ma
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

Hierarchical Semantic-Guided Contextual Structure-Aware Network for Spectral Satellite Image Dehazing

Haze or cloud always shrouds satellite images, obscuring valuable geographic information for military surveillance, natural calamity surveillance and mineral resource exploration.
Hua Wang, Jianzhong Cao, Sen Dong, Lei Yang, Hailong Ning   +4 more
core   +1 more source

Nighttime Image Dehazing

, 2014
Image surveillance is the major means of security monitoring. Image sequences obtained through surveillance cameras are vital sources for tracking criminal incidents and causes of accident, happening mostly at night due to lacking of light and obscurity ...
Han, Che
core  

Non-aligned supervision for Real Image Dehazing [PDF]

Removing haze from real-world images is challenging due to unpredictable weather conditions, resulting in the misalignment of hazy and clear image pairs.
Li, Jun, Yang, Jian, Guo, Fei, Li, Xiang, Qian, Jianjun, Fan, Junkai   +5 more
core   +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

DCAF-Net: Density-Conditioned Attention Fusion Network for Single-Image Dehazing. [PDF]

Sensors (Basel)
Li N, Liu S, Ding H, Gao S, Xiao Z, Liu Q.   +5 more
europepmc   +1 more source

ADPCNet: Adaptive Deformable Peripheral Convolution for Efficient Image Dehazing. [PDF]

J Imaging
Wang Z, Zhu Y, Zheng X, Yang S, Hu C.
europepmc   +1 more source