Get in touch with your creative side using Photoshop Elements

Photoshop Elements 2024 For Dummies covers the newest version of Adobe's beginner-friendly photo editing software. With the help of this Dummies guide, you'll discover the ins and outs of Photoshop Elements, so you can transform your images from ordinary to extraordinary. The software is packed with all the photo editing tools you need to turn your images into showstoppers. With the help of the easy-to-understand instructions in this book, you'll learn how to use the editing tools, utilize layers, make one-click fixes, brighten colors, add filters, and beyond.

• Get started with Photoshop Elements and make basic edits in quick mode
• Create different views of an image and use the history panel to find the best version of your image
• Replace backgrounds, merge photos, and do other neat editing tricks
• Understand camera raw to turn your camera's image data into a stunning photo

This bestselling Dummies guide is the book you need to get started with Elements and learn the insider tips that will give your images that wow factor.

Customize and personalize programs built on the AutoCAD platform

AutoLISP is the key to unlocking the secrets of a more streamlined experience using industry leading software programs like AutoCAD, Civil 3D, Plant 3D, and more.

AutoCAD Platform Customization: AutoLISP provides real-world examples that show you how to do everything from modifying graphical objects and reading and setting system variables to communicating with external programs. It also features a resources appendix and downloadable datasets and customization examples--tools that ensure swift and easy adoption.

• Find out how to remove unused buttons from the ribbon to gain screen space
• Discover how to create macros for frequently performed actions, or add your company's logo to the bottom of every drawing
• Learn to perform more involved customizations, like communicating with a database to validate and update information entered in drawing layers
• Ideal for CAD administrators, senior drafters, savvy users, and other professionals and students

Through detailed discussions and tutorials that include real-world examples, this book gives you the power to enhance your program's experience and output.

Handbook of Diffusion MR Tractography: Imaging Methods, Biophysical Models, Algorithms and Applications presents methods and applications of MR diffusion tractography, providing deep insights into the theory and implementation of existing tractography techniques and offering practical advice on how to apply diffusion tractography to research projects and clinical applications. Starting from the design of MR acquisition protocols optimized for tractography, the book follows a pipeline approach to explain the main methods behind diffusion modeling and tractography, including advanced analysis of tractography data and connectomics.

An extensive section of the book is devoted to the description of tractography applications in research and clinical settings to give a complete picture of tractography practice today. By focusing on technology, models, and applications, this handbook will be an indispensable reference for researchers and students with backgrounds in computer science, mathematics, physics, neuroscience, and medical science.

Harness the power of Midjourney to create impactful and memorable artistic outputs and gain a distinctive edge in your professional endeavors

Key Features

• Master Midjourney prompting with the help of practical examples from an experienced communication and web design specialist
• Explore Midjourney's capabilities to create visually stunning art without prior design knowledge
• Gain practical insights into how to strategically apply AI-generated art in your work
• Purchase of the print or Kindle book includes a free PDF eBook

Book Description

Like various other fields, AI offers boundless possibilities when it comes to art. Midjourney is one of the leading AI art creation tools that can assist you in your artistic ideas, regardless of your technical skill level. Written by an accomplished communication and web design specialist, The Midjourney Expedition is your guide to harnessing the power of AI in your creative journey.

With this guide, you'll explore the extensive features of Midjourney and start creating compelling AI-generated art with ease. The first set of chapters will teach you how to set up and use Discord for personalized and seamless art creation, with a dedicated section that will help you understand the different versions of Midjourney and their capabilities. As you progress, you'll hone your prompt engineering skills, and eventually learn how to leverage the power of complex prompts. You'll also learn how Midjourney-generated images can be integrated into a multitude of workflows and domains through real-life case studies. In the last set of chapters, you'll get to grips with real-world applications of Midjourney for storytelling, creating moodboards, and more.

By the end of this book, you'll not only be proficient in using Midjourney, but also understand how to strategically apply AI-generated art in your projects.

What you will learn

• Navigate and master Midjourney's extensive features for AI art creation
• Apply practical techniques to create visually stunning AI-generated artwork
• Accelerate your creative process to produce captivating visual content
• Understand and master essential parameters to enhance your creations
• Create consistent characters for storytelling
• Incorporate AI-generated art into various work contexts

Who this book is for

The Midjourney Expedition is for creative individuals who are looking to visually express their ideas through the power of AI. While this book will certainly benefit designers, it's equally valuable for marketing professionals, brand strategists, content creators, media managers, and entrepreneurs. Those responsible for creating compelling visual content to represent a brand, product, or concept will also find this book useful. Basic knowledge of web user interfaces will be helpful, but not required.

Table of Contents

1. Exploring the Midjourney AI World
2. Embarking on a Journey - From Discord to Midjourney
3. Mastering Midjourney Versions - Quick Start Guide
4. Understanding and Learning Parameters
5. Navigating through Advanced Prompts
6. Upgrading Your Prompt for Optimal Results
7. Customizing Midjourney - Settings, Preferences, and Unleashing Creative Prompts
8. Exploring Practical Use Cases and Pushing Boundaries
9. Unlocking Tips and Tricks and Special Functions
10. Conclusion - Your Journey with Midjourney

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Youâ ll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.

Author Seth Weidman shows you how neural networks work using a first principles approach. Youâ ll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, youâ ll be set up for success on all future deep learning projects.

This book provides:

• Extremely clear and thorough mental modelsâ accompanied by working code examples and mathematical explanationsâ for understanding neural networks
• Methods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented framework
• Working implementations and clear-cut explanations of convolutional and recurrent neural networks
• Implementation of these neural network concepts using the popular PyTorch framework

Give life to your designs and keep your CAD skills fresh with Mastering AutoCAD 2021 and Mastering AutoCAD LT 2021

AutoCAD continues to be the tool of choice for architects, project managers, engineers, city planners, and other design professionals, and when the industry experts need to learn the latest CAD techniques and trends, they turn to Mastering AutoCAD and AutoCAD LT. Packed with real-world examples, straightforward instructions, and downloadable project files, this edition of this bestselling AutoCAD reference has been fully updated for the latest features from the 2021 version of AutoCAD and AutoCAD LT. From getting familiar with the interface to preparing for Autodesk AutoCAD certification, Mastering AutoCAD 2021 and AutoCAD LT 2021 gives CAD professionals command of the software's core functions and complex capabilities.

• Develop AutoCAD drawings from concept to creation
• Use hatches, fields, and tables
• Work with dynamic blocks, attributes, drawing curves, and solid fills
• Apply 3D modeling and imaging techniques
• Customize your interface and configure template settings and styles
• Get ready for the Autodesk AutoCAD Certification exam

Whether you're seeking on-the-job certification or just looking to dream big and draw, Mastering AutoCAD 2021 and AutoCAD LT 2021 is the ultimate guide to all things AutoCAD.

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 Features

• Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras
• Learn popular concepts such as machine learning, deep learning, and neural networks for image processing
• Explore common and not-so-common challenges faced in image processing

Book 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 learn

• Implement supervised and unsupervised machine learning algorithms for image processing
• Use deep neural network models for advanced image processing tasks
• Perform image classification, object detection, and face recognition
• Apply image segmentation and registration techniques on medical images to assist doctors
• Use classical image processing and deep learning methods for image restoration
• Implement text detection in images using Tesseract, the optical character recognition (OCR) engine
• Understand image enhancement techniques such as gradient blending

Who 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.

Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.

Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.

• Learn key concepts for data science, machine learning, and deep learning
• Explore tools like Video AI and AutoML Tables
• Build a simple language processor using deep learning systems
• Perform image recognition using CNNs, transfer learning, and GANs
• Use Google's Dialogflow to create chatbots and conversational AI
• Analyze video with automatic video indexing, face detection, and TensorFlow Hub
• Build a complete working AI agent application

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project.

Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. Youâ ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics.

This pocket reference includes sections that cover:

• Classification, using the Titanic dataset
• Cleaning data and dealing with missing data
• Exploratory data analysis
• Common preprocessing steps using sample data
• Selecting features useful to the model
• Model selection
• Metrics and classification evaluation
• Regression examples using k-nearest neighbor, decision trees, boosting, and more
• Metrics for regression evaluation
• Clustering
• Dimensionality reduction
• Scikit-learn pipelines

The complete SolidWorks reference-tutorial for beginner to advanced techniques

Mastering SolidWorks is the reference-tutorial for all users. Packed with step-by-step instructions, video tutorials for over 40 chapters, and coverage of little-known techniques, this book takes you from novice to power user with clear instruction that goes beyond the basics. Fundamental techniques are detailed with real-world examples for hands-on learning, and the companion website provides tutorial files for all exercises. Even veteran users will find value in new techniques that make familiar tasks faster, easier, and more organized, including advanced file management tools that simplify and streamline pre-flight checks.

SolidWorks is the leading 3D CAD program, and is an essential tool for engineers, mechanical designers, industrial designers, and drafters around the world. User friendly features such as drag-and-drop, point-and-click, and cut-and-paste tools belie the software's powerful capabilities that can help you create cleaner, more precise, more polished designs in a fraction of the time. This book is the comprehensive reference every SolidWorks user needs, with tutorials, background, and more for beginner to advanced techniques.

• Get a grasp on fundamental SolidWorks 2D and 3D tasks using realistic examples with text-based tutorials
• Delve into advanced functionality and capabilities not commonly covered by how-to guides
• Incorporate improved search, Pack-and-Go and other file management tools into your workflow
• Adopt best practices and exclusive techniques you won't find anywhere else

Work through this book beginning-to-end as a complete SolidWorks course, or dip in as needed to learn new techniques and time-saving tricks on-demand. Organized for efficiency and designed for practicality, these tips will remain useful at any stage of expertise. With exclusive coverage and informative detail, Mastering SolidWorks is the tutorial-reference for users at every level of expertise.

Deep Learning for Medical Image Analysis, Second Edition is a great learning resource for academic and industry researchers and graduate students taking courses on machine learning and deep learning for computer vision and medical image computing and analysis. Deep learning provides exciting solutions for medical image analysis problems and is a key method for future applications. This book gives a clear understanding of the principles and methods of neural network and deep learning concepts, showing how the algorithms that integrate deep learning as a core component are applied to medical image detection, segmentation, registration, and computer-aided analysis.

Comprehensive resource addressing the need for a quantum image processing machine learning model that can outperform classical neural networks

Quantum Image Processing in Practice explores the transformative potential of quantum color image processing across various domains, including biomedicine, entertainment, economics, and industry. The rapid growth of image data, especially in facial recognition and autonomous vehicles, demands more efficient processing techniques. Quantum computing promises to accelerate digital image processing (DIP) to meet this demand.

This book covers the role of quantum image processing (QIP) in quantum information processing, including mathematical foundations, quantum operations, image processing using quantum filters, quantum image representation, and quantum neural networks. It aims to inspire practical applications and foster innovation in this promising field.

Topics include:

• Qubits and Quantum Logic Gates: Introduces qubits, the fundamental data unit in quantum computing, and their manipulation using quantum logic gates like Pauli matrices, rotations, the CNOT gate, and Hadamard matrices. The concept of entanglement, where qubits become interconnected, is also explored, highlighting its importance for applications like quantum teleportation and cryptography.
• Two and Multiple Qubit Systems: Demonstrates the importance of using two qubits to process color images, enabling image enhancement, noise reduction, edge detection, and feature extraction. Covers the tensor product, Kronecker sum, SWAP gate, and local and controlled gates. Extends to multi-qubit superpositions, exploring local and control gates for three qubits, such as the Toffoli and Fredkin gates, and describes the measurement of superpositions using projection operators.
• Transforms and Quantum Image Representations: Covers the Hadamard, Fourier, and Heap transforms and their circuits in quantum computation, highlighting their applications in signal and image processing. Introduces the quantum signal-induced heap transform for image enhancement, classification, compression, and filtration. Explores quantum representations and operations for images using the RGB, XYZ, CMY, HSI, and HSV color models, providing numerous examples.
• Fourier Transform Qubit Representation: Introduces a new model of quantum image representation, the Fourier transform qubit representation. Describes the algorithm and circuit for calculating the 2-D quantum Fourier transform, enabling advancements in quantum imaging techniques.
• New Operations and Hypercomplex Algebra: Presents new operations on qubits and quantum representations, including multiplication, division, and inverse operations. Explores hypercomplex algebra, specifically quaternion algebra, for its potential in color image processing.
• Quantum Neural Networks (QNNs): Discusses QNNs and their circuit implementation as advancements in machine learning driven by quantum mechanics. Summarizes various applications of QNNs and current trends and future developments in this rapidly evolving field.

The book also addresses challenges and opportunities in QIP research, aiming to inspire practical applications and innovation. It is a valuable resource for researchers, students, and professionals interested in the intersection of quantum computing and color image processing applications, as well as those in visual communications, multimedia systems, computer vision, entertainment, and biomedical applications.

Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python

Supported by code examples, Signals and Systems: Theory and Practical Explorations with Python is a textbook resource for a complete introductory course in systems and signals, enabling readers to run Python programs for convolution, discrete time Fourier transforms and series, sampling, and interpolation for a wide range of functions. Readers are guided step-by-step through basic differential equations, basic linear algebra, and calculus to ensure full comprehension of the exercises.

This book is supported by a companion website, hosting interactive material to draw functions, and run programs in Python; it is enriched with audiovisual material via linking to related videos. Links to resources that provide a deeper explanation about the important concepts in the book, such as the systems approach, complex numbers, harmony, the Euler equation, and Hilbert spaces, are also included.

Written by two highly qualified academics, topics covered in Signals and Systems include:

• Systems approach for modeling the natural and manmade systems and some application areas
• Representation of complex and real signals by basic functions, such as, real and complex exponentials, unit step and unit impulse functions
• Properties of signals, such as symmetry, harmony, energy, power, continuity and discreteness
• Convolution and correlation operations for continuous time and discrete time signals and systems
• Representation of systems by impulse response, frequency response, transfer function, block diagram, differential and difference equations
• Properties of systems, such as linearity, time invariance, memory, invertibility, stability and causality
• Continuous time and discrete time Fourier analysis in Hilbert space and their extension to Laplaca transform and z-transform
• Filtering by Linear Time Invariant systems in time and frequency domains, covering low pass, high pass band pass and band reject filters.
• Sampling theorems for continuous time and discrete time systems, covering A/D and D/A conversion, sampling and interpolation.

Signals and Systems is an ideal textbook resource for a one semester introductory course on signals and systems for upper level undergraduate and graduate students in computer science, electrical engineering and data science. It is also a useful reference for professionals working in bioinformatics, robotics, remote sensing, and related fields.

The ultimate reference and guide to the GNU image manipulation program

GIMP is a free, Photoshop-like image manipulation program, and as its use grows, so does the demand for detailed instruction on how to get the very most out of it. GIMP Bible is the most comprehensive and current independent GIMP reference available that goes beyond official documentation.

If you're a digital artist or photographer, the step-by-step explanations in this authoritative guide show you how to power-use GIMP throughout a production pipeline. Topics include understanding the GIMP interface and how to work with it, how to use all of GIMP's tools to create high-quality images, GIMP's default filters and plug-ins, advanced techniques for customization with Python and Scheme scripting, and much more.

• GIMP (GNU Image Manipulation Program) is a free graphics editor that runs on Linux, Windows, or Macs; it is used to process digital graphics and photographs including creating graphics and logos, resizing and cropping photos, altering colors, combining images, creating basic GIF animated images, and more
• Whether you're a digital artist, professional photographer, or beginner, this detailed how-to shows you best practices, valuable techniques, and helpful tips for getting the most out of GIMP for your projects
• Topics include the GIMP interface and how to work with it, in-depth description of GIMP's tools and how to use them to create high-quality images, a comprehensive reference for all of GIMP's default filters and common plug-ins, and advanced customization with Python and Scheme scripting

Get the most out of this free image editing tool for your production pipeline with the GIMP Bible.

The must-have book on the leading suite of software for graphic and web designers

Fully revised and updated this hands-on resource offers a one-stop learning opportunity through eight minibooks dedicated to each product inside Adobe's Design & Web Premium Suite. The minibooks include Adobe Creative Suite Basics, InDesign, Illustrator, Photoshop, Acrobat, Dreamweaver, Flash, Fireworks. The book contains information on new image enhancements to After Effects, 64-bit versions of Illustrator and Flash Professional, and a new tool, dubbed Helium, that will enable designers to create content using HTML5 and CSS3.

• Offers the depth needed by novices and long-time professionals
• Covers the key features and tools users need to master individual programs to their fullest capacities
• Helps designers to be more creative and productive
• Filled with tips and techniques for using the 8 design programs

This popular package gives designers a full review of the most popular design and development tools on the market.

This book is a detailed description of the basics of three-dimensional digital image processing. A 3D digital image (abbreviated as 3D image below) is a digitalized representation of a 3D object or an entire 3D space, stored in a computer as a 3D array. Whereas normal digital image processing is concerned with screens that are a collection of square shapes called pixels and their corresponding density levels, the image plane in three dimensions is represented by a division into cubical graphical elements (called voxels) that represent corresponding density levels. Inthecontextofimageprocessing, in manycases3Dimageprocessingwill refer to the input of multiple 2D images and performing processing in order to understand the 3D space (or scene) that they depict. This is a result of research into how to use input from image sensors such as television cameras as a basis for learning about a 3D scene, thereby replicating the sense of vision for humans or intelligent robots, and this has been the central problem in image processing research since the 1970s. However, a completely di?erent type of image with its own new problems, the 3D digital image discussed in this book, rapidly took prominence in the 1980s, particularly in the ?eld of medical imaging. These were recordings of human bodies obtained through computed (or computerized) tomography (CT), imagesthatrecordednotonlytheexternal, visiblesurfaceofthesubject but also, to some degree of resolution, its internal structure. This was a type of image that no one had experienced before.

Since the first edition of this book was published several new developments have been made in the field of the moir theory. The most important of these concern new results that have recently been obtained on moir effects between correlated aperiodic (or random) structures, a subject that was completely absent in the first edition, and which appears now for the first time in a second, separate volume. This also explains the change in the title of the present volume, which now includes the subtitle Volume I: Periodic Layers. This subtitle has been added to clearly distinguish the present volume from its new companion, which is subtitled Volume II: Aperiodic Layers. It should be noted, however, that the new subtitle of the present volume may be somewhat misleading, since this book also treats (in Chapters 10 and 11) moir effects between repetitive layers, which are, in fact, geometric transformations of periodic layers, that are generally no longer periodic in themselves. The most suitable subtitle for the present volume would therefore have been Periodic or Repetitive Layers, but in the end we have decided on the shorter version.

Content-Based Analysis Of Digital Video focuses on fundamental issues underlying the development of content access mechanisms for digital video. It treats topics that are critical to successfully automating the video content extraction and retrieval processes, and includes coverage of:

- Video parsing,

- Video content indexing and representation,

- Affective video content analysis.

In this well illustrated book the author integrates related information currently scattered throughout the literature and combines it with new ideas into a unified theoretical approach to video content analysis. The material also suggests ideas for future research.
Systems developers, researchers and students working in the area of content-based analysis and retrieval of video and multimedia in general will find this book invaluable.