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:

DOWNLOAD EBOOK

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

DOWNLOAD EBOOK

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:

DOWNLOAD EBOOK

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.

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

DOWNLOAD EBOOK

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

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

DOWNLOAD EBOOK

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.

Image Processing Using FPGAs
Image Processing Using FPGAs

Author: Donald Bailey

Publisher: MDPI

Published: 2019-06-11

Total Pages: 204

ISBN-13: 303897918X

DOWNLOAD EBOOK

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.

Innovative Simulation Systems
Innovative Simulation Systems

Author: Aleksander Nawrat

Publisher: Springer

Published: 2015-07-20

Total Pages: 444

ISBN-13: 3319211188

DOWNLOAD EBOOK

This monograph provides comprehensive guidelines on the current and future trends of innovative simulation systems. In particular, their important components, such as augmented reality and unmanned vehicles are presented. The book consists of three parts. Each part presents good practices, new methods, concepts of systems and new algorithms. Presented challenges and solutions are the results of research and conducted by the contributing authors. The book describes and evaluates the current state of knowledge in the field of innovative simulation systems. Throughout the chapters there are presented current issues and concepts of systems, technology, equipment, tools, research challenges and current, past and future applications of simulation systems. The book is addressed to a wide audience: academic staff, representatives of research institutions, employees of companies and government agencies as well as students and graduates of technical universities in the country and abroad. The book can be a valuable source of information for constructors and developers of innovative simulation systems and their components. Scientists and researchers involved in mechanics, control algorithms, image processing, computer vision or data fusion can find many valuable suggestions and solutions.