ASCNet

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[IEEE TGRS 2025] ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping

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최종 버전 다운로드 (.zip)

- Building.png
- Car.png
- Fig0.png
- Fig1.png
- Fig2.png
- Fig3.png
- Fig4.png
- Mars.png
- Road.png
- ASCNet.py
- cbam.py
- 044.png
- 045.png
- 046.png
- 047.png
- 048.png
- 049.png
- 050.png
- 051.png
- 052.png
- 053.png
- 054.png
- 055.png
- 056.png
- 057.png
- 058.png
- 059.png
- 060.png
addnoise_clip_cycle.py
addnoise_clip_gauss.py
addnoise_clip_mixer.py
addnoise_clip_uniform.py
dataset.py
demo.py
prepare_patches.py
README.md
requirements.txt
test.py
train.py
utils.py
warmup_scheduler.py

// repository documentation

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# This is the code of the paper "ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping".[[Paper]](https://ieeexplore.ieee.org/document/10855453) [[Weight]](https://drive.google.com/file/d/1zbBsWUbRVBjNckPg5DiCgKIKOKWnQ2N8/view?usp=sharing)
Shuai Yuan, Hanlin Qin, Xiang Yan, Shiqi Yang, Shuowen Yang, Naveed Akhtar, Huixin Zhou, IEEE Transactions on Geoscience and Remote Sensing 2025.

# Bilibili 视频分享⭐⭐⭐
Paper：https://www.bilibili.com/video/BV1udCRB1EH8/

Code：https://www.bilibili.com/video/BV1LQCiBiEuV/

# Real Destriping Examples

[<img src="https://github.com/xdFai/ASCNet/blob/main/Fig/Mars.png" width="385">](https://imgsli.com/MjkxNDU2) | [<img src="https://github.com/xdFai/ASCNet/blob/main/Fig/Building.png" width="385">](https://imgsli.com/MjkxNDU4)
:-------------------------:|:-------------------------:
Mars | Building

[<img src="https://github.com/xdFai/ASCNet/blob/main/Fig/Road.png" width="385">](https://imgsli.com/MjkxNDU5) | [<img src="https://github.com/xdFai/ASCNet/blob/main/Fig/Car.png" width="385">](https://imgsli.com/MjkxNDYx)
:-------------------------:|:-------------------------:
Road | Car

# Challenges and inspiration   
![Image text](https://github.com/xdFai/ASCNet/blob/main/Fig/Fig0.png)

# Structure
![Image text](https://github.com/xdFai/ASCNet/blob/main/Fig/Fig2.png)

![Image text](https://github.com/xdFai/ASCNet/blob/main/Fig/Fig3.png)

## Usage

#### 1. Dataset
Training dataset: [[Data]](https://drive.google.com/file/d/1o9BmWspPTJtFsBj66NN3FfM83cjp37IW/view?usp=sharing)

Training dataset augmentation: [[Data_AUG]](https://drive.google.com/file/d/1Iv4CoQiInFORYn1kHjJCCCeuy6LKvnIc/view?usp=sharing)

Validation dataset:  [[clean]](https://drive.google.com/file/d/1WYYZCoEooOXDG49YJXJiNkCtVFgGdx2J/view?usp=sharing), [[dirty]](https://drive.google.com/file/d/1D1NAyMLbso_UL-YRqYfPduFR-Zs8g2sx/view?usp=sharing)

Test dataset：[[Test Data]](https://drive.google.com/file/d/1HBE6WRzpDWdeYfNClQqZNFP2UZ3orxCY/view?usp=sharing)

##### 2. Train.
```bash
python train.py
```

#### 3. Test and demo. [[Weight]](https://drive.google.com/file/d/1zbBsWUbRVBjNckPg5DiCgKIKOKWnQ2N8/view?usp=sharing)
```bash
python test.py
```
If the implementation of this repo is helpful to you, just star it！⭐⭐⭐

If you find the code useful, please consider citing our paper using the following BibTeX entry.

```
@ARTICLE{10855453,
  author={Yuan, Shuai and Qin, Hanlin and Yan, Xiang and Yang, Shiqi and Yang, Shuowen and Akhtar, Naveed and Zhou, Huixin},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={ASCNet: Asymmetric Sampling Correction Network for Infrared Image Destriping}, 
  year={2025},
  volume={63},
  number={},
  pages={1-15},
  keywords={Noise;Discrete wavelet transforms;Semantics;Image reconstruction;Feature extraction;Neural networks;Filters;Crosstalk;Aggregates;Geoscience and remote sensing;Asymmetric sampling (AS);column correction;deep learning;infrared (IR) image destriping;wavelet transform},
  doi={10.1109/TGRS.2025.3534838}}
```

## Contact
**Welcome to raise issues or email to [yuansy@stu.xidian.edu.cn](yuansy@stu.xidian.edu.cn) for any question regarding our ASCNet.**

ASCNet

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