Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors. It simulates the characteristics of visual perception in blurred scenes and...
Main Authors: | Mingming Tan, Tao Fang, Yingle Fan, Wei Wu, Qingshan She, Haitao Gan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8854800/ |
Similar Items
-
Single Image Dehazing Method Based on Densely Connected Dilated Convolutional Neural Network
by: LIU Guangzhou, LI Jinbao, REN Dongdong, SHU Minglei
Published: (2021-01-01) -
Photo-Realistic Image Dehazing and Verifying Networks via Complementary Adversarial Learning
by: Joongchol Shin, et al.
Published: (2021-09-01) -
Single Image Dehazing via NIN-DehazeNet
by: Kangle Yuan, et al.
Published: (2019-01-01) -
A new end-to-end image dehazing algorithm based on residual attention mechanism
Published: (2021-08-01) -
A Novel Transformer-Based Attention Network for Image Dehazing
by: Bao, C., et al.
Published: (2022)