Hands-On Image Processing and Computer Vision with Python

Explore the world of image processing, computer vision, and generative AI with Python—from fundamental concepts and classical methods to deep learning, modern vision systems, and real-world visual content generation.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*

Key Features
Build end-to-end image processing and computer vision pipelines with PythonMaster image enhancement, restoration, filtering, segmentation, classification, and object detectionExplore CNNs, Vision Transformers, diffusion models, foundation models, and vision-language AIPurchase of the print or Kindle book includes a free PDF eBook
Book 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
What you will learn
Build image processing and computer vision pipelinesApply image enhancement, restoration, and segmentationImplement image classification and object detection modelsExplore CNNs, Vision Transformers, and attention modelsGenerate and edit images using GANs and diffusion modelsDevelop multimodal vision-language AI applicationsApply visual AI across diverse real-world domainsImplement super-resolution, style transfer, and image-to-image translation
Who this book is for
This book is for computer vision engineers, machine learning engineers, AI engineers, Python developers, data scientists, and applied researchers building real-world visual AI systems. It is ideal for professionals working in image analysis, medical imaging, remote sensing, industrial inspection, autonomous systems, surveillance, augmented reality, and visual analytics. Students and software engineers seeking hands-on experience with classical image processing, deep learning, modern vision models, and generative AI will also benefit.  A working knowledge of Python is required.