Low-Power Smart Imagers for Vision-Enabled Sensor Networks
Authors: Fernández-Berni, Jorge, Carmona-Galán, Ricardo, Rodríguez-Vázquez, Ángel
Free Preview- Describes a system-level approach for designing of vision devices and embedding them into vision-enabled, wireless sensor networks
- Surveys state-of-the-art, vision-enabled WSN nodes
- Includes details of specifications and challenges of vision-enabled WSNs
- Explains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities
- Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms
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- About this book
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This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications. Coverage includes a thorough analysis of resistive diffusion networks embedded within an image sensor array. This analysis supports a systematic approach to the design of spatial image filters and their implementation as vision chips in CMOS technology. The book also addresses system-level considerations pertaining to the embedding of these vision chips into vision-enabled wireless sensor networks.
Describes a system-level approach for designing of vision devices and embedding them into vision-enabled, wireless sensor networks; Surveys state-of-the-art, vision-enabled WSN nodes; Includes details of specifications and challenges of vision-enabled WSNs; Explains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities; Includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms.
- Table of contents (7 chapters)
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Introduction
Pages 1-4
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Vision-enabled WSN Nodes: State of the Art
Pages 5-20
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Processing primitives for image simplification
Pages 21-33
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VLSI Implementation of Linear Diffusion
Pages 35-66
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FLIP-Q: A QCIF Resolution Focal-Plane Array for Low-Power Image Processing
Pages 67-109
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Table of contents (7 chapters)
- Download Preface 1 PDF (125.2 KB)
- Download Sample pages 1 PDF (882.4 KB)
- Download Table of contents PDF (134.4 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Low-Power Smart Imagers for Vision-Enabled Sensor Networks
- Authors
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- Jorge Fernández-Berni
- Ricardo Carmona-Galán
- Ángel Rodríguez-Vázquez
- Copyright
- 2012
- Publisher
- Springer-Verlag New York
- Copyright Holder
- Springer Science+Business Media New York
- eBook ISBN
- 978-1-4614-2392-8
- DOI
- 10.1007/978-1-4614-2392-8
- Hardcover ISBN
- 978-1-4614-2391-1
- Softcover ISBN
- 978-1-4899-9540-7
- Edition Number
- 1
- Number of Pages
- XXIV, 156
- Topics
