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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Length 438 pages
Edition 1st Edition
Languages
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Image inpainting

Inpainting is the process of restoring the damaged or missing parts of an image. Suppose we have a binary input image, D, that specifies the location of the damaged pixels in the input image, f, as shown in the following equation:

Once the damaged regions in the image are located with the mask, the lost/damaged pixels have to be reconstructed with some algorithm (for example, total variation inpainting). The reconstruction is supposed to be performed fully automatically by exploiting the information presented in non-damaged regions. In this recipe, you will learn how to use OpenCV-Python library functions to implement image inpainting, using two different algorithms.

Getting ready

Import the following libraries...

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