Digital Image Processing Library.
Project description
ChitraPy
ChitraPy is a digital Image Processing Library in Python.
Installation
Install ChitraPy with:
pip install ChitraPy
Find the latest version on PyPi
https://pypi.org/project/ChitraPy
Install Dev version
git clone https://github.com/mgautam98/ChitraPy.git
cd ChitraPy
python3 setup.py install
Documentation
https://chitrapy.readthedocs.io/en/latest/
Usage
from ChitraPy import filters, helpers
import matplotlib.pyplot as plt
# Load a sample Image
!wget https://i.imgur.com/D24n5DL.png
img = plt.imread('./D24n5DL.png')
plt.imshow(img)
# invert an image
invert = filters.invert(img)
plt.imshow(invert)
Features
- Crop
- Grayscale
- Negative
- Sepia
- Hue
- Salt and Pepper
- Stretch
- Warp
- Rotate
- Invert
- Gaussian blur
- Quick Blur
- Contrast Enhancement (Histogram Equalization)
- Local Contrast Enhancement
- Add Watermark
- Sobel Edge detection
- Halftoning
- Dither
- resize
- sharpen
- Emboss
- Identity
- Outline
- Monochrome
- Zoom
- Contrast adjustment (Histogram sliding)
References
- https://en.wikipedia.org/wiki/Digital_image_processing
- http://setosa.io/ev/image-kernels/
- http://www.tannerhelland.com/3643/grayscale-image-algorithm-vb6/
- https://www.cs.princeton.edu/courses/archive/fall00/cs426/lectures/dither/dither.pdf
- https://hypjudy.github.io/2017/03/19/dip-histogram-equalization/
Project details
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