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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 restoration with dictionary learning

Dictionary learning (also known as sparse coding) is a representation learning technique that tries to find a sparse representation of the input data as a (sparse) linear combination of basis elements (known as atoms) that construct an over-complete spanning set (known as a dictionary). The mammalian primary visual cortex also works in the same way by exploiting the redundancy and flexibility of this type of representation. In image processing, dictionary learning has been applied on the image patches and it has shown promising results in different image processing problems such as image inpainting, image completion, and denoising. In this recipe, you will learn how to use dictionary learning for image denoising.

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