English | 2025 | ISBN: 9365898919 | 420 pages | PDF
“Digital Image Processing Using Python” offers a comprehensive guide to mastering image processing techniques through practical Python implementations. It equips you with the essential tools and knowledge to manipulate, analyze, and transform digital images using the powerful programming language, Python.
This book offers a comprehensive exploration of digital image processing, combining theoretical foundations with practical applications. Starting with fundamental concepts like image representation and pixel neighborhoods, the book teaches Python programming and essential libraries for image manipulation. The book provides practical examples and exercises to reinforce learning and equip readers with the skills needed to effectively process and analyze digital images for various applications.
By integrating Python code with visual examples, you will gain practical experience and insights that are directly applicable to your work.
Who this book is for
This book is perfect for undergraduate and master’s level students seeking to grasp image processing concepts or professionals working in fields like computer vision, artificial intelligence, or medical imaging.
Table of Contents
1. Introduction to Digital Images
2. Python Fundamentals and Related Libraries
3. Playing with Digital Images
4. Spatial Domain Processing
5. Frequency Domain Image Processing
6. Non-linear Image Processing and the Issue of Phase
7. Noise and Image Restoration
8. Wavelet Transform and Multi-resolution Analysis
9. Binary Morphology
