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Commit 8de6127

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Added Image Processing
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‎Image Processing/ImageCompressing.py‎

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# -*- coding: utf-8 -*-
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# Python Imaging Library PIL
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from PIL import Image as ig
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#open the image from directory , in my case its in same directory
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img=ig.open("default.jpg")
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#Apply the compressing
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img.save("Compressed.jpg",optimize=True,quality=30)
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print("Done!")

‎Image Processing/ImageTransposing.py‎

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# -*- coding: utf-8 -*-
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#Flipping the image
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from PIL import Image
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#opening the image
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img = Image.open('default.jpg')
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#transpose of the matrix
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transposed_img=img.transpose(Image.FLIP_LEFT_RIGHT)
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#save it in a new file
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transposed_img.save("Corrected.png")
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print("Done!")

‎Image Processing/ImgEnhancing.py‎

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# -*- coding: utf-8 -*-
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#image enhancement CLAHE - Contrast Limited Adaptive Histogram Equalization
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import cv2
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#read the image
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img = cv2.imread('default.jpg')
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#preparation for CLAHE
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clahe= cv2.createCLAHE()
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#COnvert to Gray Scale image
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gray_img= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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#Lets apply enhancement finally
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ench_img=clahe.apply(gray_img)
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#And save it into a file
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cv2.imwrite('enhanced.jpg',ench_img)
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print("Done!!")

‎Image Processing/README.md‎

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# Python Image Processing
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<h4>Python Imaging Library (PIL) is one of the popular libraries used for image processing. PIL can be used to display image, create thumbnails, resize, rotation, convert between file formats, contrast enhancement, filter and apply other digital image processing techniques etc.</h4><br>
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> Here are few things which you can implement using python
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<br>
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## 1. Image Enhancing
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<a href="https://ibb.co/7CDtTBT"><img width="40%" src="https://i.ibb.co/h9NFnrn/default.jpg" alt="default" border="0"></a><img src="https://img.icons8.com/carbon-copy/100/000000/arrow.png"/>
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<a href="https://ibb.co/51JhvX7"><img width="40%" src="https://i.ibb.co/j8jkG9p/enhanced.jpg" alt="enhanced" border="0"></a>
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<hr>
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## 2. Image Compressing
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<a href="https://ibb.co/7CDtTBT"><img width="40%" src="https://i.ibb.co/h9NFnrn/default.jpg" alt="default" border="0"></a><img src="https://img.icons8.com/carbon-copy/100/000000/arrow.png"/>
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<a href="https://ibb.co/BBJx5PM"><img width="40%" src="https://i.ibb.co/TtGSxT3/Compressed.jpg" alt="Compressed" border="0"></a>
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<hr>
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## 3. Image Transposing
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<a href="https://ibb.co/7CDtTBT"><img width="40%" src="https://i.ibb.co/h9NFnrn/default.jpg" alt="default" border="0"></a><img src="https://img.icons8.com/carbon-copy/100/000000/arrow.png"/>
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<a href="https://ibb.co/4KNZYG2"><img width="40%" src="https://i.ibb.co/JmkRy4q/Transposed.png" alt="Transposed" border="0"></a>
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<hr>
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## Libraries Required
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Instructions on how to use them in your own application are linked below.
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| Library | Documentation |
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| ------ | ------ |
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| CV2 | [https://pypi.org/project/opencv-python/][PlDb] |
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| PIL | [https://pypi.org/project/Pillow/][PlGh] |
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| CLAHE | [https://pypi.org/project/clahe/][PlGd] |
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## Author
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[Lakhan Kumawat](https://github.com/Lakhankumawat)
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[PlDb]: <https://pypi.org/project/opencv-python/>
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[PlGh]: <https://pypi.org/project/Pillow/>
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[PlGd]: <https://pypi.org/project/clahe/>
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‎Image Processing/default.jpg‎

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