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Computational-Photography

Photo Restoration Using Open CV

Photo Restoration is an application of Computational Photography.

WTF is Computational Photography?

It’s a digital image processing technique that helps to enhance images like removing noise, stabilising it and removing strokes and marks and blah-blah-blah!

It’s only because of many image processing techniques that you are able get quite good photos even with your smartphones. Computational photography is quite handy! Isn’t it?

#Requirements

  1. Open-cv
  2. Python 2.7

Let’s see what cv2.inpaint function parameters are :-

cv2.inpaint(input image, mask, inpaintRadius, Inpaint Method) inpaintRadius – Radius of a circular neighbourhood of each point in painted that is considered by the algorithm.

Smaller values look less blurred, while larger values look more pixelated or blurred.

Inpaint Methods - INPAINT_NS - Navier-Stokes based method [Navier01] - INPAINT_TELEA - Method by Alexandru Telea [Telea04] - Better as it integrates more seamlessly into the image.

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