##Dependencies
- pillow(~2.6.0)
- Numpy(~1.9.0)
If the scripts throw AttributeError: __float__
, make sure your pillow has jpeg support e.g. try:
$ sudo apt-get install libjpeg-dev
$ sudo pip uninstall pillow
$ sudo pip install pillow
##How to generate the results
Enter the src
directory, run python main.py
. It will use images under img
directory as default to produce the results. The results will show up in result
directory.
To test special configurations for a given image, for example, to test the image with index 0
(check IMG_NAMES
in util.py
for indexes) and tmin = 0.2
, Amax = 170
, w = 15
, r = 40
, run
$ python main.py -i 0 -t 0.2 -A 170 -w 15 -r 40
For input image name.jpg
using the default parameters, the naming convention is:
- dark channel:
name-dark.jpg
- raw transmission map:
name-rawt.jpg
- refined tranmission map:
name-refinedt.jpg
- image dehazed with the raw transmission map:
name-radiance-rawt.jpg
- image dehazed with the refined transmission map:
name-radiance-refinedt.jpg
If there are special configurations for the parameters, for example, , then the base name will be appended with -20-170-50-40
e.g. the dark channel is name-dark-20-170-50-40.jpg
##Directory structure
.
├─ README.md
├─ requirements.txt
├─ doc
│ └── report.pdf
├─ img (source images)
│ └── ... (input images from CVPR 09 supplementary materials)
├─ result (the results)
│ └── ...
└─ src (the python source code)
├── dehaze.py (dehazing using the dark channel prior)
├── main.py (generate the results for the report)
├── guidedfilter.py (guided filter)
└── util.py (utilities)
##About
- Github repository
- Author: Qiuyi Zhang
- Time: Jan. 2015