Tags: Design for Embedded Image Processing on FPGAs *US HARDCOVER* 2nd Ed. by Donald Bailey
Design for Embedded Image Processing on FPGAs *US HARDCOVER* 2nd Ed. by Donald Bailey
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Design
for Embedded Image Processing on FPGAs, 2nd Edition
Overview
Title: Design for Embedded Image Processing on FPGAs, 2nd Edition
Author: Donald G. Bailey
Edition: 2nd Edition
Key Themes
Optimizing image processing algorithms for implementation on
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- Type: Hardcover Book.
| Design
for Embedded Image Processing on FPGAs, 2nd Edition Overview Title: Design for Embedded Image Processing on FPGAs, 2nd Edition Author: Donald G. Bailey Edition: 2nd Edition Key Themes Optimizing image processing algorithms for implementation on Field-Programmable Gate Arrays (FPGAs) Bridging the gap between software and hardware design for image processing tasks Exploring efficient hardware computation techniques for real-time image processing Features Discusses the design process for image processing algorithms on FPGAs compared to traditional software implementations. Provides detailed explanations of efficient hardware implementations for common image processing operations like point operations, histogram processing, and linear transformations. Introduces new chapters on Deep Learning algorithms and Image and Video Coding, reflecting advancements in image processing. Offers practical examples and case studies to illustrate design principles and techniques. Target Audience Engineers working on embedded systems that require real-time image processing capabilities. FPGA developers seeking to expand their skillset in image processing applications. Graduate students in fields like electrical engineering, computer engineering, and embedded systems with an interest in image processing hardware. Strengths Comprehensive guide that covers both the theoretical foundations and practical considerations of image processing on FPGAs. Offers valuable insights for hardware-accelerated image processing design. Includes up-to-date coverage of Deep Learning, a rapidly evolving field in image processing. Chapter Headlines (Examples may vary slightly based on edition): Introduction to Image Processing and FPGAs Design Process for Embedded Image Processing Systems Hardware Architectures for Image Processing Efficient Implementations for Basic Image Operations Advanced Image Processing Techniques on FPGAs (e.g., filtering, edge detection) Hardware Design for Deep Learning Algorithms Image and Video Coding for Embedded Systems Interfacing FPGAs with Peripheral Devices Design for Testability and Debugging Case Studies in Embedded Image Processing Closing Paragraph Design for Embedded Image Processing on FPGAs, 2nd Edition, by Donald G. Bailey, equips readers with the knowledge and techniques to design efficient hardware implementations for image processing tasks. This comprehensive resource is valuable for engineers, developers, and students who want to leverage the power of FPGAs for real-time image processing applications. |
