Architecture Aware Optimization Strategies In Real Time Image Processing
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Author |
: Chao Li |
Publisher |
: John Wiley & Sons |
Total Pages |
: 186 |
Release |
: 2017-11-02 |
ISBN-10 |
: 9781119467120 |
ISBN-13 |
: 1119467128 |
Rating |
: 4/5 (20 Downloads) |
Synopsis Architecture-Aware Optimization Strategies in Real-time Image Processing by : Chao Li
In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration. The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.
Author |
: Chao Li |
Publisher |
: John Wiley & Sons |
Total Pages |
: 180 |
Release |
: 2017-11-29 |
ISBN-10 |
: 9781786300942 |
ISBN-13 |
: 178630094X |
Rating |
: 4/5 (42 Downloads) |
Synopsis Architecture-Aware Optimization Strategies in Real-time Image Processing by : Chao Li
In the field of image processing, many applications require real-time execution, particularly those in the domains of medicine, robotics and transmission, to name but a few. Recent technological developments have allowed for the integration of more complex algorithms with large data volume into embedded systems, in turn producing a series of new sophisticated electronic architectures at affordable prices. This book performs an in-depth survey on this topic. It is primarily written for those who are familiar with the basics of image processing and want to implement the target processing design using different electronic platforms for computing acceleration. The authors present techniques and approaches, step by step, through illustrative examples. This book is also suitable for electronics/embedded systems engineers who want to consider image processing applications as sufficient imaging algorithm details are given to facilitate their understanding.
Author |
: Fernand Meyer |
Publisher |
: John Wiley & Sons |
Total Pages |
: 259 |
Release |
: 2019-01-23 |
ISBN-10 |
: 9781119575122 |
ISBN-13 |
: 1119575125 |
Rating |
: 4/5 (22 Downloads) |
Synopsis Topographical Tools for Filtering and Segmentation 2 by : Fernand Meyer
Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description of these tools. Volume 2 proposes two physical models for describing valid flooding on a node- or edge-weighted graph, and establishes how to pass from one to another. Many new flooding algorithms are derived, allowing parallel and local flooding of graphs. Watersheds and flooding are then combined for solving real problems. Their ability to model a real hydrographic basin represented by its digital elevation model constitutes a good validity check of the underlying physical models. The last part of Volume 2 explains why so many different watershed partitions exist for the same graph. Marker-based segmentation is the method of choice for curbing this proliferation. This book proposes new algorithms combining the advantages of the previous methods which treated node- and edge-weighted graphs differently.
Author |
: Fernand Meyer |
Publisher |
: John Wiley & Sons |
Total Pages |
: 271 |
Release |
: 2019-01-23 |
ISBN-10 |
: 9781119579540 |
ISBN-13 |
: 1119579546 |
Rating |
: 4/5 (40 Downloads) |
Synopsis Topographical Tools for Filtering and Segmentation 1 by : Fernand Meyer
Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description of these tools. Volume 1 is devoted to watersheds. The topography of a graph appears by observing the evolution of a drop of water moving from node to node on a weighted graph, along flowing paths, until it reaches regional minima. The upstream nodes of a regional minimum constitute its catchment zone. The catchment zones may be constructed independently of each other and locally, in contrast with the traditional approach where the catchment basins have to be constructed all at the same time. Catchment zones may overlap, and thus, a new segmentation paradigm is proposed in which catchment zones cover each other according to a priority order. The resulting partition may then be corrected, by local and parallel treatments, in order to achieve the desired precision.
Author |
: Gérard Favier |
Publisher |
: John Wiley & Sons |
Total Pages |
: 272 |
Release |
: 2019-12-04 |
ISBN-10 |
: 9781119681113 |
ISBN-13 |
: 1119681111 |
Rating |
: 4/5 (13 Downloads) |
Synopsis From Algebraic Structures to Tensors by : Gérard Favier
Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields. This set on Matrices and Tensors in Signal Processing aims at giving a self-contained and comprehensive presentation of various concepts and methods, starting from fundamental algebraic structures to advanced tensor-based applications, including recently developed tensor models and efficient algorithms for dimensionality reduction and parameter estimation. Although its title suggests an orientation towards signal processing, the results presented in this set will also be of use to readers interested in other disciplines. This first book provides an introduction to matrices and tensors of higher-order based on the structures of vector space and tensor space. Some standard algebraic structures are first described, with a focus on the hilbertian approach for signal representation, and function approximation based on Fourier series and orthogonal polynomial series. Matrices and hypermatrices associated with linear, bilinear and multilinear maps are more particularly studied. Some basic results are presented for block matrices. The notions of decomposition, rank, eigenvalue, singular value, and unfolding of a tensor are introduced, by emphasizing similarities and differences between matrices and tensors of higher-order.
Author |
: Nasser Kehtarnavaz |
Publisher |
: Springer Nature |
Total Pages |
: 97 |
Release |
: 2022-06-01 |
ISBN-10 |
: 9783031022401 |
ISBN-13 |
: 3031022408 |
Rating |
: 4/5 (01 Downloads) |
Synopsis Real-Time Image and Video Processing by : Nasser Kehtarnavaz
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.
Author |
: |
Publisher |
: |
Total Pages |
: 320 |
Release |
: 2004 |
ISBN-10 |
: UOM:39015058295190 |
ISBN-13 |
: |
Rating |
: 4/5 (90 Downloads) |
Synopsis Real-time Imaging by :
Author |
: Michel Cosnard |
Publisher |
: |
Total Pages |
: 354 |
Release |
: 1993 |
ISBN-10 |
: STANFORD:36105008561925 |
ISBN-13 |
: |
Rating |
: 4/5 (25 Downloads) |
Synopsis Architectures and Compilation Techniques for Fine and Medium Grain Parallelism by : Michel Cosnard
Medium and especially fine grain parallelism has been a focus of the data-research area since its inception in the 1970's. Much experience has been gained but the interest both in the academia and the industry continues to flourish.The development of multiple ALU superscalars/superpipelined machines/VLIWs (small resources Von Neumann machines) has meant the related software and hardware topics for finding higher degrees of fine and medium grain parallelism on such machines has become increasingly important.This volume presents new parallelization ideas being discovered in this relatively unchartered research area, including some which are likely to have immediate practical impact. With invited papers from prominent specialists, it is hoped it also offers a critical review of the accomplishments of the data-flow research area to date.
Author |
: |
Publisher |
: |
Total Pages |
: 288 |
Release |
: 1979 |
ISBN-10 |
: UIUC:30112008124536 |
ISBN-13 |
: |
Rating |
: 4/5 (36 Downloads) |
Synopsis Real-time Signal Processing by :
Author |
: Pete Warden |
Publisher |
: O'Reilly Media |
Total Pages |
: 504 |
Release |
: 2019-12-16 |
ISBN-10 |
: 9781492052012 |
ISBN-13 |
: 1492052019 |
Rating |
: 4/5 (12 Downloads) |
Synopsis TinyML by : Pete Warden
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size