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Showcasing the breathtaking work of French digital artists, "Creating Photomontages with Photoshop: A Designer's Notebook" will both inspire and educate as you explore the endless photomontage possibilities with Photoshop.
Translated from French into English for the first time, this lavish collection of groundbreaking digital creations by well-known French artists is a visual smorgasbord for digital imaging professionals, graphic artists, photographers, and anyone involved in the creation of digital images or animations.
Photomontages are multiple images artfully combined. When joined together, they assume a new and more complex definition that, if done well, is both believable and aesthetically thrilling. The stunning digital photomontages within this book offer a challenging and beautiful glimpse into a vibrant culture known for pushing the limits of imagination with photography, graphics, and art. Filled with splendor, energy, and creative risks, the images will change the way you see and perform your own work.
But "Creating Photomontages with Photoshop: A Designer's Notebook" is more than a full-color feast for the eyes. It gives intermediate-to-advanced Photoshop users invaluable guidance through all aspects of the photomontage creation process--from an initial concept (including inspiration and specifications) through its step-by-step practical execution (photographing, retouching, special effects, and so forth)--and provides insight into the vision behind each creation and how that vision evolved to became a dynamic reality.
This one-of-a-kind collection will compel you to explore new and inventive techniques for Photoshop, one of the most vital, powerful, andsophisticated tools in the graphics industry. Your photography, illustrations, advertisements, animations, and art-for-art's-sake creations will never again be the same.
Reflecting the very best of French graphic design and digital graphics professionals, this book takes you to the heart of what's possible with photomontage and digital technology through Photoshop. It is suitable for your coffee table or your desktop--wherever you most thrive on creative inspiration.
With enough charm and wit to make learning Photoshop anything but taxing, Steve Caplin delivers the next instalment of the How to Cheat series, containing all the techniques you need to create and master the art of photomontage. Delivered in easy to follow step-by-step tutorials, How to Cheat in Photoshop CS6 covers all the basics of selections and layers before moving on to top tricks and techniques for creating realistic works of art for business, pleasure, or something in between. An accompanying DVD is packed full of practice images and tutorial movies for you to work along with, plus bonus chapters to push your skills even further. Using a tweaked design that is clearer and fresher than previous editions, this is the most fun way to master Photomontage. This complete How to Cheat in Photoshop CS6 package includes a fully updated book, a DVD containing all of the images used in the helpful tutorials, plus over 5 hours of video tutorials, and a website featuring a reader forum where your questions will be answered by other readers as well as the author himself.
For courses in Image Processing and Computer Vision. Introduce your students to image processing with the industry's most prized text For 40 years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition, which celebrates the book's 40th anniversary, is based on an extensive survey of faculty, students, and independent readers in 150 institutions from 30 countries. Their feedback led to expanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maximally-stable extremal regions (MSERs), graph cuts, k-means clustering and superpixels, active contours (snakes and level sets), and exact histogram matching. Major improvements were made in reorganizing the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering. Major revisions and additions were made to examples and homework exercises throughout the book.
This book constitutes the thoroughly refereed proceedings of the 20th IAPR International Conference on Discrete Geometry for Computer Imagery, DGCI 2017, held in Vienna, Austria, in September 2017. The 28 revised full papers presented together with 3 invited talks were carefully selected from 36 submissions. The papers are organized in topical sections on geometric transforms; discrete tomography; discrete modeling and visualization; morphological analysis; discrete shape representation, recognition and analysis; discrete and combinatorial topology; discrete models and tools; models for discrete geometry.
This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.
Acts as single source reference providing readers with an overview of how computer vision can contribute to the different applications in the field of road transportation This book presents a survey of computer vision techniques related to three key broad problems in the roadway transportation domain: safety, efficiency, and law enforcement. The individual chapters present significant applications within those problem domains, each presented in a tutorial manner, describing the motivation for and benefits of the application, and a description of the state of the art. Key features: * Surveys the applications of computer vision techniques to road transportation system for the purposes of improving safety and efficiency and to assist law enforcement. * Offers a timely discussion as computer vision is reaching a point of being useful in the field of transportation systems. * Available as an enhanced eBook with video demonstrations to further explain the concepts discussed in the book, as well as links to publically available software and data sets for testing and algorithm development. The book will benefit the many researchers, engineers and practitioners of computer vision, digital imaging, automotive and civil engineering working in intelligent transportation systems. Given the breadth of topics covered, the text will present the reader with new and yet unconceived possibilities for application within their communities.
Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.
The comprehensive, soup-to-nuts guide to Photoshop, fully updated
Photoshop CS6, used for both print and digital media, is the industry leader in image-editing software. The newest version adds some exciting new features, and this bestselling guide has been revised to cover each of them, along with all the basic information you need to get started. Learn to use all the tools, including the histogram palette, Lens Blur, Match Color, and the color replacement tool, as well as keyboard shortcuts. Then master retouching and color correction, work with Camera Raw images, prepare photos for print or the web, and much more.Photoshop has the broadest user base of any professional-level graphics application, ranging from photo hobbyists to professionals in graphic design, publishing, video editing, animation, and broadcasting This comprehensive guide has what beginners need to know as well as intermediate-level information on key tools and procedures Features a 16-page full-color insert and a companion website with tutorials, including JPEG and PSD files of images from the book Covers image-editing basics, the File Browser, histogram palette, Lens Blur, Match Color, the color replacement tool, and customizable keyboard shortcuts Delves into techniques for working with Camera Raw images; how to retouch, color-correct, manipulate, and combine images; and all the new features and enhancements in the latest version
"Photoshop CS6 Bible" is the one reference book every Photoshop user needs.
This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.
This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis. The analysis of time-series images is one of the most widely appearing problems in science, engineering, and business. In recent years this problem has gained importance due to the increasing availability of more sensitive sensors in science and engineering and due to the wide-spread use of computers in corporations which have increased the amount of time-series data collected by many magnitudes. An important feature of this book is the exploration of different approaches to handle and identify time dependent biomedical images. Biomedical imaging analysis and processing techniques deal with the interaction between all forms of radiation and biological molecules, cells or tissues, to visualize small particles and opaque objects, and to achieve the recognition of biomedical patterns. These are topics of great importance to biomedical science, biology, and medicine. Biomedical imaging analysis techniques can be applied in many different areas to solve existing problems. The various requirements arising from the process of resolving practical problems motivate and expedite the development of biomedical imaging analysis. This is a major reason for the fast growth of the discipline.
Learn digital image editing without the expense of using subscription-based editors. This book will pave the way for you to leverage Pixlr Editor, a free, web-based image editing solution that works on virtually any computer platform. You'll learn image editing first hand by using the practice images with the corresponding tutorials-everything from creating simple graphics to enhancing and retouching photos. Explore all of the features you'd expect in a high end photo editing application; layers, history (multiple undos), and an array of powerful tools for handling almost any editing task. Powerful image editing used to require purchasing and installing expensive, complicated image editing software on your computer. Beginning Pixlr Editor takes an easy-to-access and convenient look at the alternative from the Pixlr family of tools and utilities and offers you advanced editing techniques so you can enhance, retouch, and edit your digital images like a pro. What You'll Learn: Easily access Pixlr Editor from any computer with a high speed Internet connection Create an new image, or open an image from your computer, a URL, or the Pixlr library Save your images on to your computer or the Pixlr library Navigate the the Pixlr interface Use the Tools, Layers, image Adjustments, History, and much more Who This Book Is For: Beginner and those with some image editing experience (anyone accustomed to Adobe Photoshop will instantly feel at home with Pixlr Editor).
This book contains the proceedings of the 2018 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'18). The broad area of Imaging Science is a field that is mainly concerned with the generation, collection, analysis, modification, and visualization of images. The field is multidisciplinary in that it includes topics that are traditionally covered in computer science, physics, mathematics, electrical engineering, AI, psychology and information theory where computer science acts as the topical bridge between all such diverse areas (for a formal definition of Imaging Science, refer to relevant wiki pages). From the computer science perspective, the core of Imaging Science includes the following three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. The conference covers the research trends in these three important areas.
Traditional wireless sensor networks (WSNs) capture scalar data such as temperature, vibration, pressure, or humidity. Motivated by the success of WSNs and also with the emergence of new technology in the form of low-cost image sensors, researchers have proposed combining image and audio sensors with WSNs to form wireless multimedia sensor networks (WMSNs). This introduces practical and research challenges, because multimedia sensors, particularly image sensors, generate huge amounts of data to be processed and distributed within the network, while sensor nodes have restricted battery power and hardware resources. This book describes how reconfigurable hardware technologies such as field-programmable gate arrays (FPGAs) offer cost-effective, flexible platforms for implementing WMSNs, with a main focus on developing efficient algorithms and architectures for information reduction, including event detection, event compression, and multicamera processing for hardware implementations. The authors include a comprehensive review of wireless multimedia sensor networks, a complete specification of a very low-complexity, low-memory FPGA WMSN node processor, and several case studies that illustrate information reduction algorithms for visual event compression, detection, and fusion. The book will be of interest to academic researchers, R&D engineers, and computer science and engineering graduate students engaged with signal and video processing, computer vision, embedded systems, and sensor networks.
This book presents a novel non-intrusive infrastructure monitoring technique based on the detection and tracking of scattering centers in spaceborne SAR images. The methodology essentially consists of refocusing each available SAR image on an imposed 3D point cloud associated to the envisaged infrastructure element and identifying the reliable scatterers to be monitored by means of four dimensional (4D) tomography. The methodology described in this book provides a new perspective on infrastructure monitoring with spaceborne SAR images, is based on a standalone processing chain, and brings innovative technical aspects relative to conventional approaches. The book is intended primarily for professionals and researchers working in the area of critical infrastructure monitoring by radar remote sensing.
Biometrics-based authentication and identification are emerging as the most reliable method to authenticate and identify individuals. Biometrics requires that the person to be identified be physically present at the point-of-identification and relies on `something which you are or you do' to provide better security, increased efficiency, and improved accuracy. Automated biometrics deals with physiological or behavioral characteristics such as fingerprints, signature, palmprint, iris, hand, voice and face that can be used to authenticate a person's identity or establish an identity from a database. With rapid progress in electronic and Internet commerce, there is also a growing need to authenticate the identity of a person for secure transaction processing. Designing an automated biometrics system to handle large population identification, accuracy and reliability of authentication are challenging tasks. Currently, there are over ten different biometrics systems that are either widely used or under development. Some automated biometrics, such as fingerprint identification and speaker verification, have received considerable attention over the past 25 years, and some issues like face recognition and iris-based authentication have been studied extensively resulting in successful development of biometrics systems in commercial applications. However, very few books are exclusively devoted to such issues of automated biometrics. Automated Biometrics: Technologies and Systems systematically introduces the technologies and systems, and explores how to design the corresponding systems with in-depth discussion. The issues addressed in this book are highly relevant to many fundamental concerns of both researchers and practitioners of automated biometrics in computer and system security.
This book constitutes the refereed proceedings of the 13th Algorithms and Data Structures Symposium, WADS 2013, held in London, ON, Canada, August 2013. The Algorithms and Data Structures Symposium - WADS (formerly "Workshop on Algorithms and Data Structures") is intended as a forum for researchers in the area of design and analysis of algorithms and data structures. The 44 revised full papers presented in this volume were carefully reviewed and selected from 139 submissions. The papers present original research on algorithms and data structures in all areas, including bioinformatics, combinatorics, computational geometry, databases, graphics, and parallel and distributed computing.
This book constitutes revised selected papers from the Second International Workshop on Brain-Inspired Computing, BrainComp 2015, held in Cetraro, Italy, in July 2015. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They deal with brain structure and function; computational models and brain-inspired computing methods with practical applications; high performance computing; and visualization for brain simulations.
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 11 revised full papers were carefully selected out of 13 initial submissions. The papers are organized on topical secttion such as computer vision, graphics, robotics, medical imaging, external tracking systems, medical device controls systems, information processing techniques, endoscopy planning and simulation.
This reader-friendly textbook presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. Topics and features: describes the essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms; reviews a varied range of state-of-the-art models, algorithms, and procedures for image mining; emphasizes how to deal with real image data for practical image mining; highlights how such features as color, texture, and shape can be mined or extracted from images for image representation; presents four powerful approaches for classifying image data, namely, Bayesian classification, Support Vector Machines, Neural Networks, and Decision Trees; discusses techniques for indexing, image ranking, and image presentation, along with image database visualization methods; provides self-test exercises with instructions or Matlab code, as well as review summaries at the end of each chapter. This easy-to-follow work illuminates how concepts from fundamental and advanced mathematics can be applied to solve a broad range of image data mining problems encountered by students and researchers of computer science. Students of mathematics and other scientific disciplines will also benefit from the applications and solutions described in the text, together with the hands-on exercises that enable the reader to gain first-hand experience of computing.
K.C. Chang presents an integrated approach to digital design principles, processes, and implementations to help the reader design increasingly complex systems within shorter design cycles. Chang introduces digital design concepts, VHDL coding, VHDL simulation, synthesis commands, and strategies together.
"Digital Systems Design with VHDL and Synthesis" focuses on the ultimate product of the design cycle: the implementation of a digital design. Many of the design techniques and considerations illustrated in the text are examples of actual real-world designs.
Unique features of the book include the following:
Creative professionals seeking the fastest, easiest, most comprehensive way to learn Adobe Illustrator CC (2018 release) choose Adobe Illustrator CC Classroom in a Book (2018 release) from the best-selling series of hands-on software training workbooks from Adobe Press. The 15 project-based lessons show users the key techniques for realizing your creative potential with Adobe Illustrator CC. Following hands-on step-by-step projects, users create logos, illustrations, posters, and more. Explore the new Essentials workspace that makes learning Illustrator even easier. Learn how to use the Shaper tool and Live Shapes along with dynamic symbols to streamline graphics creation. Create website assets and export them in multiple formats to support modern responsive web designs. From exacting illustration to free-form painting, you'll build a strong foundation in Illustrator as you progress through the lessons. The online companion files include all the necessary assets for readers to complete the projects featured in each chapter as well as ebook updates when Adobe releases relevant new features for Creative Cloud customers. All buyers of the book get full access to the Web Edition: a Web-based version of the complete ebook enhanced with video and multiple-choice quizzes.
Weary of 800-page books that try to teach you everything about digital photography? You should be. Rather than delve into the nuances of efficient workflow, color management, or creating spectacular enhancements, these doorstop volumes tend to gloss over key information in an attempt to cover everything. Our new book series, "Eddie Tapp on Digital Photography", is different. An award-winning photographer, Eddie is acknowledged as one of the premier trainers of digital imaging in the world, a highly sought-after expert who educates many corporations, studios and agencies. In this series, he brings his teaching experience to bear on technical issues in six focused and affordable books on digital photography that offer one topic per volume with answers that are quick to find when you need them most. The first book, "Photoshop Workflow Setups: Eddie Tapp on Digital Photography", offers a step-by-step approach for configuring key areas of Adobe Photoshop CS2 to create an efficient, visually uncluttered workspace. Photoshop has so many different work areas and tools that it can become confusing or even intimidating for digital photographers to use in a production environment-whether you're a serious amateur or a working professional. This highly-visual, well-designed book presents Photoshop's vast collection of menus, palettes, and tools, showing you not only how they work, but how they should work for you and your specific needs. With his easygoing and authoritative style, Eddie demonstrates how to: create an efficient workspace by using the "arrange" menu and setting the screen view; become familiar with palettes for layers, channels and paths, history and actions, color, swatches and styles, and more; set preferences for file handling, guides and grids, memory and image cache, and more; customize keyboard shortcuts and menus; work with Adobe Bridge; and use Photoshop's selection, painting, graphics, and vector tools, among others. In addition to this title, "Eddie Tapp on Digital Photography" will also focus on color management; advanced and professional production techniques; controlling digital color and tone; and creative enhancement techniques. We're thrilled that Eddie Tapp has finally agreed to publish books - and with O'Reilly.
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