MMP-Net: A Multi-Scale Feature Multiple Parallel Fusion Network for Single Image Haze Removal
Reducing the impact of hazy images on subsequent visual information processing is a challenging problem. In this paper, combining with atmospheric scattering model, we propose an end-to-end multi-scale feature multiple parallel fusion network called MMP-Net for single image haze removal. The MMP-Net...
Main Authors: | Jiajia Yan, Chaofeng Li, Yuhui Zheng, Shoukun Xu, Xiaoyong Yan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8978695/ |
Similar Items
-
Haze Removal Using Aggregated Resolution Convolution Network
by: Linyuan He, et al.
Published: (2019-01-01) -
Frequency-Based Haze and Rain Removal Network (FHRR-Net) with Deep Convolutional Encoder-Decoder
by: Dong Hwan Kim, et al.
Published: (2021-03-01) -
Hardware Implementation for Haze Removal With Adaptive Filtering
by: Bin Zhang, et al.
Published: (2019-01-01) -
Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
by: Mingming Tan, et al.
Published: (2019-01-01) -
Integrating Haze Density Features for Fast Nighttime Image Dehazing
by: Wenhua Lou, et al.
Published: (2020-01-01)