The Image Processing Cookbook
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Python Image Processing Cookbook
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Author : Sandipan Dey
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-04-17
Python Image Processing Cookbook written by Sandipan Dey and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-17 with Computers categories.
Explore Keras, scikit-image, open source computer vision (OpenCV), Matplotlib, and a wide range of other Python tools and frameworks to solve real-world image processing problems Key FeaturesDiscover solutions to complex image processing tasks using Python tools such as scikit-image and KerasLearn popular concepts such as machine learning, deep learning, and neural networks for image processingExplore common and not-so-common challenges faced in image processingBook Description With the advancements in wireless devices and mobile technology, there's increasing demand for people with digital image processing skills in order to extract useful information from the ever-growing volume of images. This book provides comprehensive coverage of the relevant tools and algorithms, and guides you through analysis and visualization for image processing. With the help of over 60 cutting-edge recipes, you'll address common challenges in image processing and learn how to perform complex tasks such as object detection, image segmentation, and image reconstruction using large hybrid datasets. Dedicated sections will also take you through implementing various image enhancement and image restoration techniques, such as cartooning, gradient blending, and sparse dictionary learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this book will help you apply deep learning techniques such as transfer learning and fine-tuning to solve real-world problems. By the end of this book, you'll be proficient in utilizing the capabilities of the Python ecosystem to implement various image processing techniques effectively. What you will learnImplement supervised and unsupervised machine learning algorithms for image processingUse deep neural network models for advanced image processing tasksPerform image classification, object detection, and face recognitionApply image segmentation and registration techniques on medical images to assist doctorsUse classical image processing and deep learning methods for image restorationImplement text detection in images using Tesseract, the optical character recognition (OCR) engineUnderstand image enhancement techniques such as gradient blendingWho this book is for This book is for image processing engineers, computer vision engineers, software developers, machine learning engineers, or anyone who wants to become well-versed with image processing techniques and methods using a recipe-based approach. Although no image processing knowledge is expected, prior Python coding experience is necessary to understand key concepts covered in the book.
The Image Processing Cookbook
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Author : John C. Russ
language : en
Publisher: CreateSpace
Release Date : 2011-01-14
The Image Processing Cookbook written by John C. Russ and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-14 with Science categories.
The book leads the reader through a practical step-by-step workflow for processing images to correct defects and enhance the details for maximum visibility and presentation, and to isolate features for measurement of structural, object or geometric information in the images, using Adobe Photoshop with free and commercially available plugins. Intended for college students, forensic technicians, research scientists, and others who rely upon images as a source of information, the text includes procedures appropriate for light and electron microscopy, crime scene photographs, surveillance video, and other applications. The author is a retired university professor who has taught thousands of students these methods in a 50-year career, has written several widely used reference and textbooks on the subject, and is frequently called upon as an expert witness. This text is an outgrowth of his teaching, and uses a rich set of example images to illustrate the various algorithms that are described and applied.
The Image Processing Handbook
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Author : John C. Russ
language : en
Publisher: CRC Press
Release Date : 2016-04-19
The Image Processing Handbook written by John C. Russ and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Technology & Engineering categories.
Whether obtained by microscopes, space probes, or the human eye, the same basic tools can be applied to acquire, process, and analyze the data contained in images. Ideal for self study, The Image Processing Handbook, Sixth Edition, first published in 1992, raises the bar once again as the gold-standard reference on this subject. Using extensive new illustrations and diagrams, it offers a logically organized exploration of the important relationship between 2D images and the 3D structures they reveal. Provides Hundreds of Visual Examples in FULL COLOR! The author focuses on helping readers visualize and compare processing and measurement operations and how they are typically combined in fields ranging from microscopy and astronomy to real-world scientific, industrial, and forensic applications. Presenting methods in the order in which they would be applied in a typical workflow—from acquisition to interpretation—this book compares a wide range of algorithms used to: Improve the appearance, printing, and transmission of an image Prepare images for measurement of the features and structures they reveal Isolate objects and structures, and measure their size, shape, color, and position Correct defects and deal with limitations in images Enhance visual content and interpretation of details This handbook avoids dense mathematics, instead using new practical examples that better convey essential principles of image processing. This approach is more useful to develop readers’ grasp of how and why to apply processing techniques and ultimately process the mathematical foundations behind them. Much more than just an arbitrary collection of algorithms, this is the rare book that goes beyond mere image improvement, presenting a wide range of powerful example images that illustrate techniques involved in color processing and enhancement. Applying his 50-year experience as a scientist, educator, and industrial consultant, John Russ offers the benefit of his image processing expertise for fields ranging from astronomy and biomedical research to food science and forensics. His valuable insights and guidance continue to make this handbook a must-have reference.
The Image Processing Cookbook
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Author : John C. Russ
language : en
Publisher:
Release Date : 2009
The Image Processing Cookbook written by John C. Russ and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Adobe Photoshop categories.
The book leads the reader through a step-by-step workflow for processing images to correct defects and enhance the details for maximum visibility and presentation, and to isolate features for measurement of structural, object or geometric information in the images, using Adobe Photoshop and commercially available plugins. Intended for college students, forensic technicians, research scientists, and others who rely upon images as a source of information, the text includes procedures appropriate for light and electron microscopy, crime scene photographs, surveillance video, and other applications. The author is a retired university professor who has taught thousands of students these methods in a 50-year career, has written several widely used reference and textbooks on the subject, and is frequently called upon as an expert witness. This text is an outgrowth of his teaching, and uses a rich set of example images to illustrate the various algorithms that are described and applied.
The Image Processing Cookbook
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Author : John C. Russ
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-04-20
The Image Processing Cookbook written by John C. Russ and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-20 with categories.
This book leads the reader on a guided tour of the practical methods that can reveal the most important information in the digital images used for scientific, forensic and technical purposes, using richly illustrated examples that show the reader the step-by-step procedures for correcting problems in recorded images, enhancing the critical details, isolating objects and structures for measurement, and deriving the quantitative data useful for subsequent analysis. The emphasis in the book is on teaching by example, and providing visual comparisons of the various tools that can be applied, following the typical workflow needed to correct imaging defects, enhance details, isolate objects and structures, and perform measurements. The examples are purposely taken from a wide range of subjects, including various kinds of microscopy, medical imaging, forensic photography, and astronomy.
Fundamentals Of Digital Image Processing
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Author : Dandak Kaniyar
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Fundamentals Of Digital Image Processing written by Dandak Kaniyar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Fundamentals of Digital Image Processing" is a comprehensive guide that delves into the intricacies of manipulating and analyzing digital images. We provide a thorough exploration of fundamental concepts, techniques, and applications in digital image processing. Catering to both beginners and seasoned professionals, the content spans a wide spectrum. Starting with the basics, we introduce core principles of digital image representation, pixel operations, and color models. We then progress into advanced topics such as image enhancement, filtering, and transformation, offering a deep understanding of the algorithms involved. The book covers image segmentation, a crucial aspect of image analysis, discussing various segmentation techniques and their applications in fields like medical imaging, computer vision, and pattern recognition. We also address the evolving field of image compression, highlighting methods to reduce image size without compromising essential information. One notable strength is our practical approach, integrating theory with hands-on examples and real-world applications. We equip readers with tools to implement image processing algorithms using popular programming languages and software. Case studies illustrate digital image processing's impact in diverse fields, including medicine, remote sensing, and multimedia. "Fundamentals of Digital Image Processing" is an indispensable resource for academics, researchers, and practitioners, offering theoretical knowledge and practical insights.
Amateur Telescope Making
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Author : Stephen Tonkin
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Amateur Telescope Making written by Stephen Tonkin and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Many amateur astronomers make their own instruments, either because of financial considerations or because they are just interested. Amateur Telescope Making offers a variety of designs for telescopes, mounts and drives which are suitable for the home-constructor. The designs range from simple to advanced, but all are within the range of a moderately well-equipped home workshop. The book not only tells the reader what he can construct, but also what it is sensible to construct given what time is available commercially. Thus each chapter begins with reasons for undertaking the project, then looks at theoretical consideration before finishing with practical instructions and advice. An indication is given as to the skills required for the various projects. Appendices list reputable sources of (mail order) materials and components. The telescopes and mounts range from "shoestring" (very cheap) instruments to specialist devices that are unavailable commercially.
Python For Scientific Computing And Artificial Intelligence
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Author : Stephen Lynch
language : en
Publisher: CRC Press
Release Date : 2023-04-28
Python For Scientific Computing And Artificial Intelligence written by Stephen Lynch and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Computers categories.
Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI). This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required Online GitHub repository available with codes for readers to practice Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing Full solutions to exercises are available as Jupyter notebooks on the Web Support Material GitHub Repository of Python Files and Notebooks: https://github.com/proflynch/CRC-Press/ Solutions to All Exercises: Section 1: An Introduction to Python: https://drstephenlynch.github.io/webpages/Solutions_Section_1.html Section 2: Python for Scientific Computing: https://drstephenlynch.github.io/webpages/Solutions_Section_2.html Section 3: Artificial Intelligence: https://drstephenlynch.github.io/webpages/Solutions_Section_3.html
Hands On Image Generation With Tensorflow
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Author : Soon Yau Cheong
language : en
Publisher: Packt Publishing Ltd
Release Date : 2020-12-24
Hands On Image Generation With Tensorflow written by Soon Yau Cheong and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-24 with Computers categories.
Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch Key FeaturesUnderstand the different architectures for image generation, including autoencoders and GANsBuild models that can edit an image of your face, turn photos into paintings, and generate photorealistic imagesDiscover how you can build deep neural networks with advanced TensorFlow 2.x featuresBook Description The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you’ll not only develop image generation skills but also gain a solid understanding of the underlying principles. Starting with an introduction to the fundamentals of image generation using TensorFlow, this book covers Variational Autoencoders (VAEs) and GANs. You’ll discover how to build models for different applications as you get to grips with performing face swaps using deepfakes, neural style transfer, image-to-image translation, turning simple images into photorealistic images, and much more. You’ll also understand how and why to construct state-of-the-art deep neural networks using advanced techniques such as spectral normalization and self-attention layer before working with advanced models for face generation and editing. You'll also be introduced to photo restoration, text-to-image synthesis, video retargeting, and neural rendering. Throughout the book, you’ll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, CycleGAN, StyleGAN, GauGAN, and BigGAN. By the end of this book, you'll be well versed in TensorFlow and be able to implement image generative technologies confidently. What you will learnTrain on face datasets and use them to explore latent spaces for editing new facesGet to grips with swapping faces with deepfakesPerform style transfer to convert a photo into a paintingBuild and train pix2pix, CycleGAN, and BicycleGAN for image-to-image translationUse iGAN to understand manifold interpolation and GauGAN to turn simple images into photorealistic imagesBecome well versed in attention generative models such as SAGAN and BigGANGenerate high-resolution photos with Progressive GAN and StyleGANWho this book is for The Hands-On Image Generation with TensorFlow book is for deep learning engineers, practitioners, and researchers who have basic knowledge of convolutional neural networks and want to learn various image generation techniques using TensorFlow 2.x. You’ll also find this book useful if you are an image processing professional or computer vision engineer looking to explore state-of-the-art architectures to improve and enhance images and videos. Knowledge of Python and TensorFlow will help you to get the best out of this book.
State Of The Art In Digital Media And Applications
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Author : Rae Earnshaw
language : en
Publisher: Springer
Release Date : 2017-08-25
State Of The Art In Digital Media And Applications written by Rae Earnshaw and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-25 with Computers categories.
This book presents the user-facing aspects of digital media, from the web and computer games, to mobile technologies and social media, and demonstrates how these are continuously growing and developing. The convergence of IT, telecommunications, and media is bringing about a revolution in the way information is collected, stored, accessed and distributed. Rae Earnshaw's book explores the principal factors driving this and the ways in which social and cultural contexts are affected by media content. This is Professor Earnshaw's fourth book in a series that focuses on digital media and creativity, and through the use of Case Studies; the theoretical, practical and technical aspects of digital media are examined. Readers are informed about how the user as content creator, publisher and broadcaster is changing the traditional roles of news media, publishers and entertainment corporations. Topics such as the evolution of digital imaging and the phenomenon of social media are discussed in relation to this. Professor Earnshaw also demonstrates how changes in technology produce shifts in the ways that consumers utilize it, in an increasing variety of application domains such as e-books, digital cameras, Facebook and Twitter. State of the Art in Digital Media and Applications will be invaluable for readers that want a comprehensive look at how emerging digital media technologies are being used, and how they are transforming how we create, consume, exchange and manipulate media content.