========= defogging

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Implement a robust and efficient defogging method with Python

Features

• Defogging a single foggy image

install

Use pip to install: ::

$ pip install defogging

Or you can install from source: ::

$ git clone [email protected]:scloudyy/Defogging.git
$ cd Defogging
$ python setup.py build
$ pip install .

Usage

Use defogging through command line: ::

$ defogging your_img.bmp

the result will be saved as your_img_defogging.bmp

And you can also use defogging in your own code:

.. code-block:: python

from defogging import Defog

in_name = "foggy.bmp" out_name = "defogged.bmp"

df = Defog() df.read_img(in_name) df.defog() df.save_img(out_name)

you can directly input a foggy object in the form of numpy.array :

.. code-block:: python

df.read_array(your_array, range)

where range indicates the value range of your array.The range has two options: the first is 1, which means the value range of your array is [0,1], and the second is 255, which means the value range is [0,255]

If you want to process the defogged object further, you can also get defogged array:

.. code-block:: python

dst = df.get_array(range)

also, range indicates the value range of returned array, either 1 or 255. If you choose 1, the range will lie in [0,1], and the type of it is float. Or if you choose 255, the range will be [0,255], and the type will be uint8.