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https://github.com/ssarcandy/hdr-imaging
An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
https://github.com/ssarcandy/hdr-imaging
hdr-image image-processing ipython-notebook opencv3 python3
Last synced: 3 months ago
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An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
- Host: GitHub
- URL: https://github.com/ssarcandy/hdr-imaging
- Owner: SSARCandy
- Created: 2017-03-24T17:16:21.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2021-01-26T14:16:19.000Z (almost 4 years ago)
- Last Synced: 2024-10-11T15:40:59.903Z (3 months ago)
- Topics: hdr-image, image-processing, ipython-notebook, opencv3, python3
- Language: Jupyter Notebook
- Homepage: https://ssarcandy.tw/2017/04/16/High-Dynamic-Range-Imaging/
- Size: 63.3 MB
- Stars: 83
- Watchers: 8
- Forks: 17
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# HDR imaging
## Requirement
- python3 (or higher)
- opencv 3.0 (or higher)
You will need to install some package using `pip3`:
- numpy
- matplotlib
## Usage
```bash
$ python HDR-playground.py
# for example
$ python ./HDR-playground.py taipei taipei.hdr
```
I also provide an jupyter version(`HDR-playground.ipynb`), it’s function is same as `HDR-playground.py`. jupyter is really convenient for develop python program!
## Input format
The input dir should have:
- Some `.png` images
- A `image_list.txt`, file should contain:
- filename
- exposure
- 1/shutter_speed
This is an example for `image_list.txt`:
```
# Filename exposure 1/shutter_speed
DSC_0058.png 32 0.03125
DSC_0059.png 16 0.0625
DSC_0060.png 8 0.125
DSC_0061.png 4 0.25
DSC_0062.png 2 0.5
DSC_0063.png 1 1
DSC_0064.png 0.5 2
DSC_0065.png 0.25 4
DSC_0066.png 0.125 8
DSC_0067.png 0.0625 16
```
## Output
The program will output:
- A `.hdr` image
- A reconstruct RGB response curve plot
- A pseudo-color radiance map(with log value)
for sample output, you can see [HDR-playground.ipynb](https://github.com/SSARCandy/HDR-imaging/blob/master/HDR-playground.ipynb) as reference.
## Tonemap
I use tmo for tonemapping, it implement 24 algorithms.
I write a script `tonemap.bat` for auto-run all 24 algorithms.
```bash
$ tonemap.bat
```
Make sure all `tm_*.exe` is in your system PATH
## Environment
I test my code in Window10, but it should work fine in macOS/Linux(exclude tonemapping reference program need run in Windows)