Hands-On Image Processing and Computer Vision with Python: From image processing fundamentals to modern computer vision and generative AI , Second Edition

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Key benefits

Master end-to-end image processing and computer vision workflows using Python

Build visual AI systems with classical, deep learning, and generative AI techniques

Apply theory with production-ready implementations using leading Python libraries

Purchase of the print or Kindle book includes a free PDF eBook

Description

Analyzing and understanding visual data has become essential in modern applications such as healthcare, security, remote sensing, manufacturing, and digital media. This book provides a hands-on guide to image processing and computer vision using Python, following a practical approach that bridges theory with implementation. As you progress through the chapters, you will develop proficiency in Python 3 and implement algorithms spanning classical image processing, modern computer vision, and state-of-the-art (SOTA) deep learning and generative AI. The book covers image enhancement, restoration, filtering, segmentation, feature extraction, classification, and object detection using libraries including NumPy, OpenCV, PIL, SciPy, scikit-image, scikit-learn, TensorFlow, Keras, and PyTorch. Advanced chapters introduce CNNs, Vision Transformers, transformer-based segmentation, modern detection frameworks, GANs, diffusion models, foundation models, image-to-image translation, super-resolution, and multimodal vision-language understanding. Real-world applications span medical imaging, remote sensing, banking, augmented reality, autonomous driving, industrial inspection, and intelligent visual analytics. By the end of the book, you will be equipped to design and implement real-world visual computing solutions. *Email sign-up and proof of purchase required

Who is this book for?

Python developers, engineers, applied researchers, students, and AI practitioners who want to build end-to-end image processing and computer vision systems. A working knowledge of Python is required, while familiarity with linear algebra, calculus, and basic machine learning concepts will help you get the most from the advanced topics.

What you will learn

Build image processing and computer vision pipelines

Apply image enhancement, restoration, and segmentation

Implement image classification and object detection models

Explore CNNs, Vision Transformers, and attention models

Generate and edit images using GANs and diffusion models

Develop multimodal vision-language AI applications

Apply visual AI across diverse real-world domains

Implement super-resolution, style transfer, and image-to-image translation

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Hands-On Image Processing and Computer Vision with Python: From image processing fundamentals to modern computer vision and generative AI , Second Edition

What do you get with eBook?