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Python Image Processing Cookbook

You're reading from Python Image Processing Cookbook

Product type Book

Published in Apr 2020

Publisher Packt

ISBN-13 9781789537147

Pages 438 pages

Edition 1st Edition

Languages

Concepts

Computer Vision

Author (1):

Sandipan Dey

Table of Contents (11) Chapters

Preface

1. Image Manipulation and Transformation

2. Image Enhancement

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

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Restoring an image with the constrained least squares filter

In this recipe, we shall demonstrate yet another filter named the Constrained Least Squares (CLS) filter in the frequency-domain. As the name of the filter suggests, it's an inverse (least squares) filter with an additional smoothness constraint that does not allow arbitrary high-frequency fluctuation in the restored image by imposing a smoothness constraint. You shall now learn how to implement a CLS filter and how to restore a degraded image by applying the filter on the image. Also, you shall compare the qualities of the restored images using different frequency-domain filter implementations such as inverse, Wiener, and CLS.

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Authors (1)

Sandipan Dey

Sandipan Dey is a data scientist with a wide range of interests, covering topics such as machine learning, deep learning, image processing, and computer vision. He has worked in numerous data science fields, working with recommender systems, predictive models for the events industry, sensor localization models, sentiment analysis, and device prognostics. He earned his master's degree in computer science from the University of Maryland, Baltimore County, and has published in a few IEEE Data Mining conferences and journals. He has earned certifications from 100+ MOOCs on data science, machine learning, deep learning, image processing, and related courses. He is a regular blogger (sandipanweb) and is a machine learning education enthusiast.

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