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10 books match the query 'Image processing'

cover of Access Control and Security Monitoring of Multimedia Information Processing and Transmission

Access Control and Security Monitoring of Multimedia Information Processing and Transmission

Zhihan Lyu

The Institution of Engineering and Technology, 2024

In the era of big data and multi-connectivity via IoTs, protecting and securing multimedia data has become a real necessity and priority for organizations and businesses, but this can be a rather difficult task due to the heterogeneous nature of platforms and data sets. It is therefore essential to improve the security level of multimedia information by developing core technologies to prevent the loss and damage of information during processing and transmission.
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cover of Architectures of Illusion: From Motion Picutres to Navigable Interactuve Environments

Architectures of Illusion

From Motion Picutres to Navigable Interactuve Environments

Edited by François Penz and Maureen Thomas

Intellect Books, 2003

The world of media production is in a state of rapid transformation. In this age of the Internet, interactivity and digital broadcasting, do traditional standards of quality apply or must we identify and implement new criteria?

This profile of the work of the Cambridge University Moving Image Studio (CUMIS), presents a strong argument that new developments in digital media are absolutely dependent on an understanding of traditional excellence. The book stands alone in placing equal emphasis on theoretical and practical aspects of its subject matter and avoids jargon so as to be easily understood by the general reader as well as the specialist.

Chapters discuss:

• animation • navigable architectural environments • moving image narrativity
• questions of truth and representation • virtuality/reality • synthetic imaging
• interactivity

This broad analysis of current research, teaching and media production contains essential information for all those working or studying in the areas of multimedia, architecture, film and television.

The book is designed as a core text for the Cambridge University 1 year MPhil Degree in Architecture and the Moving Image.
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cover of Biologically-Inspired Radar and Sonar: Lessons from nature

Biologically-Inspired Radar and Sonar

Lessons from nature

Alessio Balleri

The Institution of Engineering and Technology, 2017

Nature presents examples of active sensing which are unique, sophisticated and incredibly fascinating. There are animals that sense the environment actively, for example through echolocation, which have evolved their capabilities over millions of years and that, as a result of evolution, have developed unique in-built sensing mechanisms that are often the envy of synthetic systems.
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cover of Blow Up the Humanities

Blow Up the Humanities

Toby Miller

Temple University Press, 2012

A short, sharp, and provocative book, Blow Up the Humanities has esteemed scholar Toby Miller declaring that there are two humanities in the United States. One is the venerable, powerful humanities of private universities; the other is the humanities of state schools, which focus mainly on job prospects. There is a class division between the two—both in terms of faculty research and student background—and it must end.

Miller critically lays waste to the system. He examines scholarly publishing as well as media and cultural studies to show how to restructure the humanities by studying popular cultural phenomena, like video games. Miller ultimately insists that these two humanities must merge in order to survive and succeed in producing an aware and concerned citizenry.

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cover of Deep Learning in Medical Image Processing and Analysis

Deep Learning in Medical Image Processing and Analysis

Khaled Rabie

The Institution of Engineering and Technology, 2023

Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify.
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cover of Introduction to Radar Target Recognition

Introduction to Radar Target Recognition

P. Tait

The Institution of Engineering and Technology, 2006

This book text provides an overview of the radar target recognition process and covers the key techniques being developed for operational systems. It is based on the fundamental scientific principles of high resolution radar, and explains how the underlying techniques can be used in real systems, taking into account the characteristics of practical radar system designs and component limitations. It also addresses operational aspects, such as how high resolution modes would fit in with other functions such as detection and tracking.
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cover of Inverse Synthetic Aperture Radar Imaging: Principles, algorithms and applications

Inverse Synthetic Aperture Radar Imaging

Principles, algorithms and applications

Victor C. Chen

The Institution of Engineering and Technology, 2014

Based on the authors' 20 years' research work on Inverse Synthetic Aperture Radar (ISAR) imaging of moving targets and non-cooperative target recognition, this book provides readers with knowledge of various algorithms of ISAR imaging of targets and implementation with MATLAB. It introduces basic principles of radar backscattering, radar imaging, and signal analysis. It describes the characteristics of radar returns from targets, how to produce well-focused ISAR images of moving targets, and what features that can extracted from ISAR images. Also introduced are several important algorithms for ISAR image formation, ISAR image auto-focusing, and applications of ISAR imaging to air targets, sea vessels and ground moving targets. Examples of ISAR imaging of ground moving targets, air targets, and sea vessels are discussed in detail.
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cover of Machine Learning in Medical Imaging and Computer Vision

Machine Learning in Medical Imaging and Computer Vision

Amita Nandal

The Institution of Engineering and Technology, 2024

Medical images can highlight differences between healthy tissue and unhealthy tissue and these images can then be assessed by a healthcare professional to identify the stage and spread of a disease so a treatment path can be established. With machine learning techniques becoming more prevalent in healthcare, algorithms can be trained to identify healthy or unhealthy tissues and quickly differentiate between the two. Statistical models can be used to process numerous images of the same type in a fraction of the time it would take a human to assess the same quantity, saving time and money in aiding practitioners in their assessment.
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cover of Seeing Like a Rover: How Robots, Teams, and Images Craft Knowledge of Mars

Seeing Like a Rover

How Robots, Teams, and Images Craft Knowledge of Mars

Janet Vertesi

University of Chicago Press, 2015

In the years since the Mars Exploration Rover Spirit and Opportunity first began transmitting images from the surface of Mars, we have become familiar with the harsh, rocky, rusty-red Martian landscape. But those images are much less straightforward than they may seem to a layperson: each one is the result of a complicated set of decisions and processes involving the large team behind the Rovers.

With Seeing Like a Rover, Janet Vertesi takes us behind the scenes to reveal the work that goes into creating our knowledge of Mars. Every photograph that the Rovers take, she shows, must be processed, manipulated, and interpreted—and all that comes after team members negotiate with each other about what they should even be taking photographs of in the first place. Vertesi’s account of the inspiringly successful Rover project reveals science in action, a world where digital processing uncovers scientific truths, where images are used to craft consensus, and where team members develop an uncanny intimacy with the sensory apparatus of a robot that is millions of miles away. Ultimately, Vertesi shows, every image taken by the Mars Rovers is not merely a picture of Mars—it’s a portrait of the whole Rover team, as well.
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cover of SpecLab: Digital Aesthetics and Projects in Speculative Computing

SpecLab

Digital Aesthetics and Projects in Speculative Computing

Johanna Drucker

University of Chicago Press, 2009

Nearly a decade ago, Johanna Drucker cofounded the University of Virginia’s SpecLab, a digital humanities laboratory dedicated to risky projects with serious aims. In SpecLab she explores the implications of these radical efforts to use critical practices and aesthetic principles against the authority of technology based on analytic models of knowledge.

            Inspired by the imaginative frontiers of graphic arts and experimental literature and the technical possibilities of computation and information management, the projects Drucker engages range from Subjective Meteorology to Artists’ Books Online to the as yet unrealized ’Patacritical Demon, an interactive tool for exposing the structures that underlie our interpretations of text. Illuminating the kind of future such experiments could enable, SpecLab functions as more than a set of case studies at the intersection of computers and humanistic inquiry. It also exemplifies Drucker’s contention that humanists must play a role in designing models of knowledge for the digital age—models that will determine how our culture will function in years to come.

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