"Enhancing Visuals with Python: Image Denoising and Restoration Strategies" introduces a comprehensive exploration into the powerful realm of image processing, focusing on the art and science of denoising and restoring images using Python. This book embarks on a journey to demystify the intricacies of image denoising and restoration, demonstrating how Python, with its versatile libraries and frameworks, can be wielded as a potent tool for achieving remarkable results.The journey unfolds with a detailed exploration of image denoising strategies. Various noise types, such as Gaussian, salt-and-pepper, and Poisson noise, are demystified, and readers are equipped with the insights needed to identify and characterize these nuisances within images. Leveraging the power of Python's renowned libraries, including NumPy, OpenCV, and scikit-image, readers delve into hands-on exercises, mastering techniques such as mean filtering, median filtering, and wavelet-based denoising. The book's approach is meticulously structured, offering a blend of conceptual understanding and practical implementation that caters to diverse learning preferences.
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Ms. Jyoti Chaudhary is an Assistant Professor at K.R. Mangalam University, Gurugram.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 84 pp. Englisch. Bestandsnummer des Verkäufers 9786209627682
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Enhancing Visuals with Python: Image Denoising and Restoration Strategies' introduces a comprehensive exploration into the powerful realm of image processing, focusing on the art and science of denoising and restoring images using Python. This book embarks on a journey to demystify the intricacies of image denoising and restoration, demonstrating how Python, with its versatile libraries and frameworks, can be wielded as a potent tool for achieving remarkable results.The journey unfolds with a detailed exploration of image denoising strategies. Various noise types, such as Gaussian, salt-and-pepper, and Poisson noise, are demystified, and readers are equipped with the insights needed to identify and characterize these nuisances within images. Leveraging the power of Python's renowned libraries, including NumPy, OpenCV, and scikit-image, readers delve into hands-on exercises, mastering techniques such as mean filtering, median filtering, and wavelet-based denoising. The book's approach is meticulously structured, offering a blend of conceptual understanding and practical implementation that caters to diverse learning preferences. Bestandsnummer des Verkäufers 9786209627682
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Enhancing Visuals with Python: Image Denoising and Restoration Strategies' introduces a comprehensive exploration into the powerful realm of image processing, focusing on the art and science of denoising and restoring images using Python. This book embarks on a journey to demystify the intricacies of image denoising and restoration, demonstrating how Python, with its versatile libraries and frameworks, can be wielded as a potent tool for achieving remarkable results.The journey unfolds with a detailed exploration of image denoising strategies. Various noise types, such as Gaussian, salt-and-pepper, and Poisson noise, are demystified, and readers are equipped with the insights needed to identify and characterize these nuisances within images. Leveraging the power of Python's renowned libraries, including NumPy, OpenCV, and scikit-image, readers delve into hands-on exercises, mastering techniques such as mean filtering, median filtering, and wavelet-based denoising. The book's approach is meticulously structured, offering a blend of conceptual understanding and practical implementation that caters to diverse learning preferences.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Bestandsnummer des Verkäufers 9786209627682
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Taschenbuch. Zustand: Neu. Enhancing Visuals with Python: Image Denoising and Restoration | Second Edition | Jyoti Chaudhary | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209627682 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Bestandsnummer des Verkäufers 134600718
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