Image And Constraint
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| Author | : Adam Morgan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 295 |
| Release | : 2015-01-07 |
| Genre | : Business & Economics |
| ISBN | : 1118899458 |
An inspiring yet practical guide for transforming limitations into opportunities A Beautiful Constraint: How to Transform Your Limitations Into Advantages And Why It's Everyone's Business Now is a book about everyday, practical inventiveness, designed for the constrained times in which we live. It describes how to take the kinds of issues that all of us face today—lack of time, money, resources, attention, know-how—and see in them the opportunity for transformation of oneself and one's organization's fortunes. The ideas in the book are based on the authors' extensive work as business consultants, and are brought to life in 35 personal interviews from such varied sources as Nike, IKEA, Unilever, the U.S. Navy, Formula One racecar engineers, public school teachers in California, and barley farmers in South Africa. Underpinned by scientific research into the psychology of breakthrough, the book is a practical handbook full of tools and tips for how to make more from less. Beautifully designed and accessible, A Beautiful Constraint will appeal beyond its core business audience to anyone who needs to find the opportunity in constraint. The book takes the reader on a journey through the mindset, method and motivation required to move from the initial "victim" stage into the transformation stage. It challenges us to: Examine how we've become path dependent—stuck with routines that blind us from seeing opportunity along new paths Ask Propelling Questions to help us break free of those paths and put the most pressing and valuable constraints at the heart of our process Adopt a Can If mentality to answer these questions—focused on "how," not "if" Access the abundance to be found all around us to help transform constraints Activate the high-octane mix of emotions necessary to fuel the tenacity required for success We live in a world of seemingly ever-increasing constraints, driven as much by an overabundance of choices and connections as by a scarcity of time and resources. How we respond to these constraints is one of the most important issues of our time and will be a large determinant of our progress as people, businesses and planet, in the future. A Beautiful Constraint calls for a more widespread capability for constraint-driven problem solving and provides the framework to achieve that.
| Author | : |
| Publisher | : |
| Total Pages | : 864 |
| Release | : 1994 |
| Genre | : Image processing |
| ISBN | : |
| Author | : Bahadir Kursat Gunturk |
| Publisher | : CRC Press |
| Total Pages | : 380 |
| Release | : 2012-09-11 |
| Genre | : Computers |
| ISBN | : 1439869553 |
Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources. Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other’s work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible. Topics covered include: Image denoising and deblurring Different image restoration methods and recent advances such as nonlocality and sparsity Blind restoration under space-varying blur Super-resolution restoration Learning-based methods Multi-spectral and color image restoration New possibilities using hybrid imaging systems Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.
| Author | : Nanning Zheng |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 371 |
| Release | : 2009-07-25 |
| Genre | : Computers |
| ISBN | : 1848823126 |
Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.
| Author | : Patrizio Campisi |
| Publisher | : CRC Press |
| Total Pages | : 474 |
| Release | : 2017-12-19 |
| Genre | : Technology & Engineering |
| ISBN | : 1420007297 |
Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications. The field of blind image deconvolution has several applications in different areas such as image restoration, microscopy, medical imaging, biological imaging, remote sensing, astronomy, nondestructive testing, geophysical prospecting, and many others. Blind Image Deconvolution: Theory and Applications surveys the current state of research and practice as presented by the most recognized experts in the field, thus filling a gap in the available literature on blind image deconvolution. Explore the gamut of blind image deconvolution approaches and algorithms that currently exist and follow the current research trends into the future. This comprehensive treatise discusses Bayesian techniques, single- and multi-channel methods, adaptive and multi-frame techniques, and a host of applications to multimedia processing, astronomy, remote sensing imagery, and medical and biological imaging at the whole-body, small-part, and cellular levels. Everything you need to step into this dynamic field is at your fingertips in this unique, self-contained masterwork. For image enhancement and restoration without a priori information, turn to Blind Image Deconvolution: Theory and Applications for the knowledge and techniques you need to tackle real-world problems.
| Author | : Eliyahu M. Goldratt |
| Publisher | : |
| Total Pages | : 182 |
| Release | : 1990 |
| Genre | : Business & Economics |
| ISBN | : |
This book is written in the attempt to deal with two major questions: what are the thinking processes that enable people to invent simple solutions to seemingly complicated situations? and, the question of how to use the psychological aspects to assist rather impair, the implementation of those solutions in a mode of an ongoing process.
| Author | : |
| Publisher | : |
| Total Pages | : 164 |
| Release | : 1991 |
| Genre | : Aberration |
| ISBN | : |
| Author | : Jimmy Lee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 854 |
| Release | : 2011-09-02 |
| Genre | : Computers |
| ISBN | : 3642237851 |
This book constitutes the refereed proceedings of the 17th International Conference on Principles and Practice of Constraint Programming, CP 2011, held in Perugia, Italy, September 12-16, 2011. The 51 revised full papers and 7 short papers presented together with three invited talks were carefully reviewed and selected from 159 submissions. The papers are organized in topical sections on algorithms, environments, languages, models and systems, applications such as decision making, resource allocation and agreement technologies.
| Author | : Allen Hanson |
| Publisher | : Elsevier |
| Total Pages | : 419 |
| Release | : 1978-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 0323151205 |
Computer Vision Systems is a collection of papers presented at the Workshop on Computer Vision Systems held at the University of Massachusetts in Amherst, Massachusetts, on June 1-3, 1977. Contributors discuss the breadth of problems that must be taken into account in the development of general computer vision systems. Topics covered include the application of system engineering techniques to the design of artificial intelligence systems; representation and segmentation of natural scenes; and pragmatic aspects of machine vision. Psychophysical measures of representation and interpretation are also considered. This monograph is divided into four sections: Issues and Research Strategies, Segmentation, Theory and Psychology, and Systems. The first chapter explores the problem of recovering the intrinsic characteristics of scenes from images, along with its implications for machine and human vision. The discussion then turns to special-purpose low-level vision systems that can be flexibly reconfigured as the need arises; design, development, and implementation of large systems from the human engineering point of view; and representation of visual information. The next section examines hierarchical relaxation for waveform parsing; the topology and semantics of intensity arrays; and visual images as spatial representations in active memory. The use of edge cues to recognize real-world objects is also analyzed. This text will be a useful resource for systems designers, computer engineers, and scientists as well as psychologists.
| Author | : Otmar Scherzer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1626 |
| Release | : 2010-11-23 |
| Genre | : Mathematics |
| ISBN | : 0387929193 |
The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.
