Skip to content
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ python implementation of the paper: "Efficient Image Dehazing with Boundary Cons

### method 1
```
pip install image_dehazer
pip install git+https://github.com/XavierJiezou/Single-Image-Dehazing-Python.git
```

**Usage:**
Expand Down
14 changes: 7 additions & 7 deletions image_dehazer/__init__.py
Original file line number Diff line number Diff line change
Expand Up @@ -32,12 +32,12 @@ def __AirlightEstimation(self, HazeImg):
def __BoundCon(self, HazeImg):
if (len(HazeImg.shape) == 3):

t_b = np.maximum((self._A[0] - HazeImg[:, :, 0].astype(float)) / (self._A[0] - self.C0),
(HazeImg[:, :, 0].astype(float) - self._A[0]) / (self.C1 - self._A[0]))
t_g = np.maximum((self._A[1] - HazeImg[:, :, 1].astype(float)) / (self._A[1] - self.C0),
(HazeImg[:, :, 1].astype(float) - self._A[1]) / (self.C1 - self._A[1]))
t_r = np.maximum((self._A[2] - HazeImg[:, :, 2].astype(float)) / (self._A[2] - self.C0),
(HazeImg[:, :, 2].astype(float) - self._A[2]) / (self.C1 - self._A[2]))
t_b = np.maximum((self._A[0] - HazeImg[:, :, 0].astype(float)) / (self._A[0] - self.C0 + 1e-6),
(HazeImg[:, :, 0].astype(float) - self._A[0]) / (self.C1 - self._A[0] + 1e-6))
t_g = np.maximum((self._A[1] - HazeImg[:, :, 1].astype(float)) / (self._A[1] - self.C0 + 1e-6),
(HazeImg[:, :, 1].astype(float) - self._A[1]) / (self.C1 - self._A[1] + 1e-6))
t_r = np.maximum((self._A[2] - HazeImg[:, :, 2].astype(float)) / (self._A[2] - self.C0 + 1e-6),
(HazeImg[:, :, 2].astype(float) - self._A[2]) / (self.C1 - self._A[2] + 1e-6))

MaxVal = np.maximum(t_b, t_g, t_r)
self._Transmission = np.minimum(MaxVal, 1)
Expand Down Expand Up @@ -299,4 +299,4 @@ def remove_haze(HazeImg, airlightEstimation_windowSze=15, boundaryConstraint_win
regularize_lambda=regularize_lambda, sigma=sigma, delta=delta,
showHazeTransmissionMap=showHazeTransmissionMap)
HazeCorrectedImg, HazeTransmissionMap = Dehazer.remove_haze(HazeImg)
return (HazeCorrectedImg, HazeTransmissionMap)
return (HazeCorrectedImg, HazeTransmissionMap)
24 changes: 24 additions & 0 deletions setup.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,24 @@
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()

setup(
name='image_dehazer',
version='0.0.9',
author="utkarsh-deshmukh",
author_email="utkarsh.deshmukh@gmail.com",
description="remove haze from images",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/Utkarsh-Deshmukh/Single-Image-Dehazing-Python",
download_url="https://github.com/Utkarsh-Deshmukh/Single-Image-Dehazing-Python/archive/master.zip",
install_requires=['numpy', 'opencv-python', 'scipy'],
license='MIT',
keywords=['Single Image Dehazing', 'Haze Removal'],
packages=find_packages(),
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
)