Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion
Image dehazing is one of the problems that need to be solved urgently in the field of computer vision. In recent years, more and more algorithms have been applied to image dehazing and achieved good results. However, the image after dehazing still has color distortion, contrast and saturation disord...
Saved in:
Main Authors: | Shaojin Ma, Weiguo Pan, Hongzhe Liu, Songyin Dai, Bingxin Xu, Cheng Xu, Xuewei Li, Huaiguang Guan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
|
Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2023/8891239 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing
by: Qianru Liu, et al.
Published: (2025-01-01) -
A dehazing and enhancement algorithm for heterogeneous images of underground mining environments in coal mines
by: Xuhui ZHANG, et al.
Published: (2025-01-01) -
Remote sensing image dehazing using a wavelet-based generative adversarial networks
by: Guangda Chen, et al.
Published: (2025-01-01) -
Deep Learning-Enabled Variational Optimization Method for Image Dehazing in Maritime Intelligent Transportation Systems
by: Xianjun Hu, et al.
Published: (2021-01-01) -
Clinical study of colorViz fusion image vascular grading based on multi-phase CTA reconstruction in acute ischemic stroke
by: Qi Wang, et al.
Published: (2025-01-01)