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

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

Author(s): Sandipan Dey (Author)

• ISBN-10: 1837636230

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{"@context":"https://schema.org","@type":"Book","name":"Hands-On Image Processing and Computer Vision with Python: From image processing fundamentals to modern computer vision and generative AI","image":"https://m.media-amazon.com/images/I/71FzSaJAxNL._SY342_.jpg","author":{"@type":"Person","name":"Sandipan Dey (Author)"},"description":"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 FeaturesMaster end-to-end image processing and computer vision workflows using PythonBuild visual AI systems with classical, deep learning, and generative AI techniquesApply theory with production-ready implementations using leading Python librariesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAnalyzing 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 requiredWhat you will learnBuild 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 translationWho this book is forPython 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.Table of ContentsGetting Started with Digital Image ProcessingImage ManipulationMore Image ManipulationSampling and Fourier TransformConvolution and Spatial/Frequency Domain FilteringFrequency Domain FilteringImage EnhancementImage Enhancements Using DerivativesImage Restoration: Inverse Problems in ImagingImage Segmentation: From Classical Methods to Deep LearningMore Deep Learning Methods for Image SegmentationImage Classification and Object DetectionGenerative AI in Image Processing and Computer Vision","url":"https://www.amazon.es/dp/1837636230/","bookFormat":"http://schema.org/EBook","additionalType":"http://schema.org/PDF","fileSize":"30 MB","accessibilityFeature":["login required","member access only"],"accessibilitySummary":"PDF version available to authenticated members only. File size: 30 MB."}