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https://github.com/tuvovan/enhancehdr

Enhancing low light images by bracketing low light image to generate HDR image
https://github.com/tuvovan/enhancehdr

hdr-image hdr-imaging low-light-image-enhancement

Last synced: 5 months ago
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Enhancing low light images by bracketing low light image to generate HDR image

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README

          

# Enhancing HDR
Enhancing low light image by bracketing virtual exposed images
## Content
- [Enhancing HDR](#enhancing-hdr)
- [Getting Started](#getting-tarted)
- [Running](#running)
- [References](#references)
- [Citations](#citation)

## Getting Started

- Clone the repository

### Prerequisites
- opencv
- Python 3.6+
- numpy

```python
pip install -r requirements.txt
```

## Running
### Training
```
python main.py
```
## Usage
### Training
```
usage: main.py [-h] [--image_path IMAGES_PATH]
[--filter True]
```

```
optional arguments: -h, --help show this help message and exit
--images_path path to image
--filter use guided filter or weighted least square filter
```

#### Result
![INPUT](imgs/Duck.png) | ![OUTPUT](imgs/rs_Duck.png) |
|:---:|:---:|
![INPUT](imgs/test2.jpg) | ![OUTPUT](imgs/rs_test2.jpg) |
![INPUT](imgs/test1.jpg) | ![OUTPUT](imgs/rs_test1.jpg) |
| input | output |

## License

This project is licensed under the MIT License - see the [LICENSE](https://github.com/tuvovan/NHDRRNet/blob/master/LICENSE) file for details

## Acknowledgments
- This work based on different scientific papers with the following modification:
- replacing the weighted least square filter by guided filter to enhance the speed.
- changing the weighting solution for merging images.
- Any ideas on updating or misunderstanding, please send me an email:
- If you find this repo helpful, kindly give me a star.