DMSH-Net: Depth-aware multi-scale hybrid vision network for image dehazing. [PDF]
PLoS OneZhao C, Li J, Wang Y, Guo Z, Li X.
europepmc +1 more source
DCAF-Net: Density-Conditioned Attention Fusion Network for Single-Image Dehazing. [PDF]
Sensors (Basel)Li N +5 more
europepmc +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
FSSM: Frequency-Enhanced State Space Modeling with FFT-Based Two-Sided Non-Causal Convolution for Image Dehazing. [PDF]
J ImagingZeng L, Huang Y.
europepmc +1 more source
Enhanced CycleGAN Dehazing Network
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021 Zahra Anvari, Vassilis Athitsos
openaire +2 more sources
Intelligent Analysis of Medical Images Based on Improved U-Net and SIFT Algorithms for Pre-Hospital Emergency Care. [PDF]
Diagnostics (Basel)Han W, Yang L, Chen Z, Ma J, Li Q.
europepmc +1 more source
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 +8 more
core +1 more source
Vision-Based Perception of UAV Targets Under Synthetic Fog: A Task-Oriented Evaluation. [PDF]
J ImagingPouladi A +4 more
europepmc +1 more source
FF-DEIM: DEIM with Image Dehazing and Self-Supervised Pretraining for Catenary Support Component Detection. [PDF]
Sensors (Basel)Zhang L +6 more
europepmc +1 more source
CL-ODGAN: an unpaired attention-guided GAN framework for remote sensing image dehazing. [PDF]
Sci RepZhang H, Mu X, Yin B.
europepmc +1 more source