You're reading from Hands-On Image Processing and Computer Vision with Python From image processing fundamentals to modern computer vision and generative AI

Product type Paperback

Published in Jun 2026

Publisher Packt

ISBN-13 9781837636235

Length 770 pages

Edition 2nd Edition

Concepts

Data Science

Author (1):

Sandipan Dey

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Table of Contents (20) Chapters

Preface

1. Part 1: Foundations of Digital Image Processing

2. Getting Started with Digital Image Processing FREE CHAPTER

3. Image Manipulation

4. More Image Manipulation

5. Sampling and Fourier Transform

6. Convolution and Spatial/Frequency Domain Filtering

7. Frequency Domain Filtering

8. Part 2: Image Enhancement and Restoration Techniques

9. Image Enhancement

10. Image Enhancements Using Derivatives

11. Image Restoration: Inverse Problems in Imaging

12. Part 3: Computer Vision and Generative AI

13. Image Segmentation: From Classical Methods to Deep Learning

14. More Deep Learning Methods for Image Segmentation

15. Image Classification and Object Detection

16. Generative AI in Image Processing and Computer Vision

17. Unlock Your Exclusive Benefits

Unlock this Book’s Free Benefits in 3 Easy Steps

18. Other Books You May Enjoy

19. Index

Basic image manipulation

Different Python libraries can be used for basic image manipulation. Almost all the libraries store an image in a NumPy ndarray (2D array for grayscale, 3D array for RGB image, for example). As explained earlier, the following image shows the positive x and y directions (origin being the top-left corner of the image 2D array) for the colored Mona Lisa image:

Figure 1.33 – Image versus NumPy 2D array coordinates

Common image manipulation operations

Digital image manipulation involves modifying images to enhance appearance, change composition, or create visual effects. Common operations include cropping, resizing, rotating, color adjustment, sharpening, blurring, warping, and applying filter effects such as sepia or grayscale. More advanced manipulations include adding text, removing objects, cloning image regions, and merging multiple images into composite scenes. Many of these techniques will be implemented throughout this book using...

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Published in: Jun 2026

Publisher: Packt

ISBN-13: 9781837636235

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Authors (1)

Sandipan Dey

Sandipan Dey is a Data Scientist with a wide range of interests in related areas, including machine learning, computer vision, image processing, and deep learning. He has been working in several areas of applied machine learning for the past few years. Sandipan earned his MS in Computer Science from UMBC and his BE in Computer Science from JU. He has published papers in several international data mining conferences and journals. He has authored several books on image processing with Python. He has also completed online specializations in machine learning, image processing, AI, and related areas through MOOCs.

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