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检索条件"主题词=Image processing--Digital techniques"

共 29 条记录，以下是1-10 订阅

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Mastering Prezi for Business Presentations - Second Edition 2nd Revised Edition

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丛书名： Community Experience Distilled

2015年

作者： Anderson-Williams, Russell Sylvia, J. J.

If you use Prezi in business and want to take your presentations to the next level, or if you want to become the office Prezi master, this book is for you.

ISBN: (数字)9781783558636

ISBN: (纸本)9781782175094;9781783558636

If you use Prezi in business and want to take your presentations to the next level, or if you want to become the office Prezi master, this book is for you.

关键词： image processing--digital techniques Presentation graphics software

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Getting Started with *** : Create Amazing images Easily and Professionally with One of the Best Free Photo Editors Available

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丛书名： Community Experience Distilled

2013年

作者： Sturgeon, Andros T. Kumar, Shoban

ISBN: (数字)9781783551446

ISBN: (纸本)9781783551439;9781783551446

This book follows a tutorial-based approach and is packed with examples in a compact and concise *** you have ever wanted to create photos and images that go beyond simple point and shoot results, then this book is for you. This book will help you create artistic images in ways that are only limited by your imagination. No prior knowledge of photo editing or editing software is required.

关键词： Photography--digital techniques image processing--digital techniques

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Learning Raphaël JS Vector Graphics

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丛书名： Community Experience Distilled

2013年

作者： Dawber, Damian

ISBN: (纸本)9781782169161;9781782169178

A step-by-step guide to understanding the principles underlying vector drawing, using illustrations and code demos along with interactive maps to fully exploit the JavaScript library to create a data visualization *** Raphaël JS Vector Graphics has been written for anyone with an interest in frontend browser technologies with little or no knowledge of vector graphics drawing. Designers, integrators, frontend developers, and data visualization developers will get something out of reading this book. The book assumes knowledge of HTML and CSS and a working familiarity with JavaScript.

关键词： image processing--digital techniques SVG (Document markup language) Computer graphics Web site development

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GPU Computing Gems Emerald Edition 1

引用

丛书名： Applications of GPU Computing Series

2011年

作者： Wen-mei W. Hwu

ISBN: (数字)9780123849892

ISBN: (纸本)9780123849885

GPU Computing Gems Emerald Edition offers practical techniques in parallel computing using graphics processing units (GPUs) to enhance scientific research. The first volume in Morgan Kaufmann's Applications of GPU Computing Series, this book offers the latest insights and research in computer vision, electronic design automation, and emerging data-intensive applications. It also covers life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, video and image processing. This book is intended to help those who are facing the challenge of programming systems to effectively use GPUs to achieve efficiency and performance goals. It offers developers a window into diverse application areas, and the opportunity to gain insights from others' algorithm work that they may apply to their own projects. Readers will learn from the leading researchers in parallel programming, who have gathered their solutions and experience in one volume under the guidance of expert area editors. Each chapter is written to be accessible to researchers from other domains, allowing knowledge to cross-pollinate across the GPU spectrum. Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution. The insights and ideas as well as practical hands-on skills in the book can be immediately put to use. Computer programmers, software engineers, hardware engineers, and computer science students will find this volume a helpful resource. For useful source codes discussed throughout the book, the editors invite readers to the following website:

关键词： Computer graphics Imaging systems Graphics processing units--Programming image processing--digital techniques

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Motion Deblurring : Algorithms and Systems draft

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2014年

作者： Chellappa, Rama Rajagopalan, A. N.

ISBN: (数字)9781107360181

ISBN: (纸本)9781107044364;9781139957915

A comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cutting-edge research. It encompasses both algorithms and architectures, providing detailed coverage of practical techniques by leading researchers. From an algorithms perspective, blind and non-blind approaches are discussed, including the use of single or multiple images; projective motion blur model; image priors and parametric models; high dynamic range imaging in the irradiance domain; and image recognition in blur. Performance limits for motion deblurring cameras are also presented. From a systems perspective, hybrid frameworks combining low-resolution-high-speed and high-resolution-low-speed cameras are described, along with the use of inertial sensors and coded exposure cameras. Also covered is an architecture exploiting compressive sensing for video recovery. A valuable resource for researchers and practitioners in computer vision, image processing, and related fields.

关键词： image processing--Mathematics image processing--digital techniques digital video--Editing--Mathematics Photography--Retouching--Data processing Motion--Mathematical models

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image processing with imageJ - Second Edition 2nd

引用

2015年

作者： Jurjen Broeke Jose Maria Mateos Perez Javier Pascau

ISBN: (数字)9781785881589

ISBN: (纸本)9781785889837;9781785881589

About This BookDesign automated image-processing solutions and speed up image-processing tasks with imageJCreate quality and intuitive interfaces for image processing by developing a basic framework for imageJ *** even the most sophisticated datasets and complex imagesWho This Book Is ForThe book has been created for engineers, scientists, and developers eager to tackle image processing with one of the leading tools available. No prior knowledge of imageJ is needed. Familiarity with Java programming will be required for readers to code their own routines using *** You Will LearnInstall and set up imageJ for image processingProcess images using imageJ''s built-in toolsCreate macros to perform repetitive processing tasksSet up and use an integrated development environment for imageJ pluginsCreate plugins with a user-friendly interface for processingUse established imageJ plugins for processing and quantificationGenerate a simple interface based on a real-world example and create other interfaces for other projectsSpeed up interface development by setting multiple parameters interactivelyIn DetailAdvances in image processing have been vital for the scientific and technological communities, making it possible to analyze images in greater detail than ever before. But as images become larger and more complex, advanced processing techniques are required. imageJ is built for the modern challenges of image processing – it''s one of the key tools in its development, letting you automate basic tasks so you can focus on sophisticated, in depth *** book demonstrates how to put imageJ into practice. It outlines its key features and demonstrates how to create your own image processing applications using macros and imageJ plugins. Once you''ve got to grips with the basics of imageJ, you''ll then discover how to build a number of different image processing solutions. From simple tasks to advanced and automated image processing, you''ll gain confidence wi

关键词： image processing--digital techniques Optical data processing

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Bayesian Approach to image Interpretation 1

引用

丛书名： The Kluwer International Series in Engineering and Computer Science, SECS 616

2001年

作者： Kopparapu, Sunil K. Desai, Uday B.

ISBN: (数字)9780306469961

ISBN: (纸本)9780792373728;9780306469961

Bayesian Approach to image Interpretation will interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation will be beneficial. For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues will be valuable. New ideas introduced in the book include: New approach to image interpretation using synergism between the segmentation and the interpretation modules. A new segmentation algorithm based on multiresolution analysis. Novel use of the Bayesian networks (causal networks) for image interpretation. Emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework. Useful in both the academic and industrial research worlds, Bayesian Approach to image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.

关键词： image processing--digital techniques Computer vision Bayesian statistical decision theory

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Machine Learning for Robust Understanding of Scene Materials in Hyperspectral images

Machine Learning for Robust Understanding of Scene Materials...

引用

作者： Gewali, Utsav B. Rochester Institute of Technology

学位级别：Ph.D.

The major challenges in hyperspectral (HS) imaging and data analysis are expensive sensors, high dimensionality of the signal, limited ground truth, and spectral variability. This dissertation develops and analyzes machine learning based methods to address these problems. In the first part, we examine one of the most important HS data analysis tasks-vegetation parameter estimation. We present two Gaussian processes based approaches for improving the accuracy of vegetation parameter retrieval when ground truth is limited and/or spectral variability is high. The first is the adoption of covariance functions based on well-established metrics, such as, spectral angle and spectral correlation, which are known to be better measures of similarity for spectral data. The second is the joint modeling of related vegetation parameters by multitask Gaussian processes so that the prediction accuracy of the vegetation parameter of interest can be improved with the aid of related vegetation parameters for which a larger set of ground truth is available. The efficacy of the proposed methods is demonstrated by comparing them against state-of-the art approaches on three real-world HS datasets and one synthetic dataset. In the second part, we demonstrate how Bayesian optimization can be applied to jointly tune the different components of hyperspectral data analysis frameworks for better performance. Experimental validation on the spatial-spectral classification framework consisting of a classifier and a Markov random field is provided. In the third part, we investigate whether high dimensional HS spectra can be reconstructed from low dimensional multispectral (MS) signals, that can be obtained from much cheaper, lower spectral resolution sensors. A novel end-to-end convolutional residual neural network architecture is proposed that can simultaneously optimize both the MS bands and the transformation to reconstruct HS spectra from MS signals by analyzing a large quantity of HS data. The

关键词： Hyperspectral imaging--Data processing Machine learning image processing--digital techniques

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Binary digital image processing : A Discrete Approach illustrated edition

引用

2000年

作者： Marchand-Maillet, Stéphane Sharaiha, Yazid M.

ISBN: (纸本)9780124705050;9780080527826

Binary digital image processing is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image *** book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression).Outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processingAddresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithmsIncludes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under studyIncludes some practical applications of this work by reviewing some common applicationsCovers a range of topics, organised by theoretical field rather than being driven by problem definitions

关键词： image processing--digital techniques Binary system (Mathematics)

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Spatial, temporal and spectral satellite image fusion via sparse representation

Spatial, temporal and spectral satellite image fusion via sp...

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作者： Song,Huihui The Chinese University of Hong Kong

学位级别：Doctoral

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