FPGA Implementation of Video Noise Estimation for Real-time Processing
FPGA Implementation of Video Noise Estimation for Real-time Processing

Author: François-Xavier Lapalme

Publisher:

Published: 2005

Total Pages: 0

ISBN-13:

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Digital video processing algorithms are computationally intensive and their performance worsens dramatically as image resolution and pixel data size grow larger. Effective techniques are required to contend with this shortcoming in performance. One solution is to make use of a fast-prototyping, flexible and reprogrammable Field Programmable Gate Array (FPGA) technology. This thesis proposes an FPGA implementation of a video noise estimation algorithm capable of real-time processing. The objectives of this thesis consist of adapting a computationally demanding noise estimation algorithm to a synthesizable VHDL design and achieving real-time processing performance. Hardware feasibility is determined through a study of the mathematical operations used in the estimation process. The proposed architecture provides a satisfactory compromise between area and processing speed. Furthermore, parameterization of the architecture allows additional flexibility with the scaling of features, such as filter size, to operate on 3 x 3 or 5 x 5 blocks of pixels.

Real-Time Image and Video Processing
Real-Time Image and Video Processing

Author: Nasser Kehtarnavaz

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 97

ISBN-13: 3031022408

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This book presents an overview of the guidelines and strategies for transitioning an image or video processing algorithm from a research environment into a real-time constrained environment. Such guidelines and strategies are scattered in the literature of various disciplines including image processing, computer engineering, and software engineering, and thus have not previously appeared in one place. By bringing these strategies into one place, the book is intended to serve the greater community of researchers, practicing engineers, industrial professionals, who are interested in taking an image or video processing algorithm from a research environment to an actual real-time implementation on a resource constrained hardware platform. These strategies consist of algorithm simplifications, hardware architectures, and software methods. Throughout the book, carefully selected representative examples from the literature are presented to illustrate the discussed concepts. After reading the book, the readers are exposed to a wide variety of techniques and tools, which they can then employ to design a real-time image or video processing system.

Integrated Sorting, Noise Estimation, Object Detection and Contour Analysis on One FPGA for Video Object Segmentation
Integrated Sorting, Noise Estimation, Object Detection and Contour Analysis on One FPGA for Video Object Segmentation

Author: Kumara Ratnayake

Publisher:

Published: 2007

Total Pages: 0

ISBN-13:

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Although solutions for robust video processing methods, such as compression or segmentation, have been considerably investigated using general-purpose processors (GPPs), these software implementations are too slow to achieve real-time performance due to the computational complexity and memory bandwidth involved in present complex video processing methods. As such, efficient hardware accelerations are inevitable for fast, video systems. The state-of-the-art, field programmable gate arrays (FPGAs) fill the gap between very inflexible, but high performance ASICs and flexible, yet performance-constrained GPPs. Thus, FPGAs are increasingly employed on hardware platforms in many signal and video processing applications. This thesis proposes an FPGA-based architecture that integrates four video processing methods (sorting, noise estimation, object detection, and contour analysis) on one FPGA, which takes a video signal and outputs a, contour filled video sequence along with the corresponding contour chain codes. The proposed architecture aims at segmenting moving objects in video signals. A video object segmentation consists of several steps: pre-processing (e.g., noise estimation), object detection (i.e., separation of objects and background), and contour analysis. The proposed architecture is simulated, synthesized and verified for its functionality, accuracy and performance on an actual hardware platform consisting of a Xilinx Virtex-4 SX35 FPGA. Compared to related work, our architecture obtains orders of magnitude performance improvements utilizing minimal hardware resources and power, and possesses key algorithmic features, which are inherently required in many video processing applications.

FPGA-based Implementation of Signal Processing Systems
FPGA-based Implementation of Signal Processing Systems

Author: Roger Woods

Publisher: John Wiley & Sons

Published: 2008-10-13

Total Pages: 389

ISBN-13: 0470713771

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Field programmable gate arrays (FPGAs) are an increasingly popular technology for implementing digital signal processing (DSP) systems. By allowing designers to create circuit architectures developed for the specific applications, high levels of performance can be achieved for many DSP applications providing considerable improvements over conventional microprocessor and dedicated DSP processor solutions. The book addresses the key issue in this process specifically, the methods and tools needed for the design, optimization and implementation of DSP systems in programmable FPGA hardware. It presents a review of the leading-edge techniques in this field, analyzing advanced DSP-based design flows for both signal flow graph- (SFG-) based and dataflow-based implementation, system on chip (SoC) aspects, and future trends and challenges for FPGAs. The automation of the techniques for component architectural synthesis, computational models, and the reduction of energy consumption to help improve FPGA performance, are given in detail. Written from a system level design perspective and with a DSP focus, the authors present many practical application examples of complex DSP implementation, involving: high-performance computing e.g. matrix operations such as matrix multiplication; high-speed filtering including finite impulse response (FIR) filters and wave digital filters (WDFs); adaptive filtering e.g. recursive least squares (RLS) filtering; transforms such as the fast Fourier transform (FFT). FPGA-based Implementation of Signal Processing Systems is an important reference for practising engineers and researchers working on the design and development of DSP systems for radio, telecommunication, information, audio-visual and security applications. Senior level electrical and computer engineering graduates taking courses in signal processing or digital signal processing shall also find this volume of interest.

Background Modeling and Foreground Detection for Video Surveillance
Background Modeling and Foreground Detection for Video Surveillance

Author: Thierry Bouwmans

Publisher: CRC Press

Published: 2014-07-25

Total Pages: 633

ISBN-13: 1482205386

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Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements.Incorporating both establish

Image Processing Using FPGAs
Image Processing Using FPGAs

Author: Donald Bailey

Publisher: MDPI

Published: 2019-06-11

Total Pages: 204

ISBN-13: 303897918X

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This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.

Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications
Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2015-10-02

Total Pages: 2249

ISBN-13: 1466687908

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As modern technologies continue to develop and evolve, the ability of users to interface with new systems becomes a paramount concern. Research into new ways for humans to make use of advanced computers and other such technologies is necessary to fully realize the potential of 21st century tools. Human-Computer Interaction: Concepts, Methodologies, Tools, and Applications gathers research on user interfaces for advanced technologies and how these interfaces can facilitate new developments in the fields of robotics, assistive technologies, and computational intelligence. This four-volume reference contains cutting-edge research for computer scientists; faculty and students of robotics, digital science, and networked communications; and clinicians invested in assistive technologies. This seminal reference work includes chapters on topics pertaining to system usability, interactive design, mobile interfaces, virtual worlds, and more.