VLSI is a well-established field of research that ignited the modern computing revolution. Serving as a guide to future developments, this book provides the frame of design, modeling concepts, and application of Image Processing based systems using VLSI design techniques. This volume focuses on biomedical applications where image processing-based hardware design is used for applications such as cancer detection, ECG, EEG measurements, medical imaging-based healthcare systems, and smart homes for elderly and disabled people. The book will help the research community to get in-depth knowledge of various systems that can be designed with image processing techniques using hardware. Key Features: Describes concepts of state-of-the-art Image processing-based VLSI Design. Describes the Hardware implementation of image and video processing algorithms. Offers real-time hardware system design for smart cities. Develops dedicated hardware design for medical image processing applications. Explores VLSI design for Cognitive Science, Augmented Reality and Virtual Reality.

Summary Based on the experiences of past designs and the outcome of recent studies in the comparisons of low-level image processing architectures, a pipelined system for real time low-image processing has been designed and realized in CMOS technology. To minimize design pitfalls, a study was performed to the details of the design solutions that have been found in embodimentsof the three main architectural groups of image processing; the Square Processor Arrays, the Linear Processor Arrays and the Pipelines. This is reflected in a theoretical model. As the design is based on bitplane-wise processing of images, research was performed on the principles ofCellularLogic Processing of two dimensional images. of binary A methodology has been developed that is based on the transformation images using sets of Hit-or-Miss masks. This method appeared to be extendable to higher dimensional images. A theoretical model for the generation of break-point conditions in high dimensional images has been developed, and applied up to dimension three.

The past few years have seen a rapid growth in image processing and image communication technologies. New video services and multimedia applications are continuously being designed. Essential for all these applications are image and video compression techniques. The purpose of this book is to report on recent advances in VLSI architectures and their implementation for video signal processing applications with emphasis on video coding for bit rate reduction.Efficient VLSI implementation for video signal processing spans a broad range of disciplines involving algorithms, architectures, circuits, and systems. Recent progress in VLSI architectures and implementations has resulted in the reduction in cost and size of video signal processing equipment and has made video applications more practical.The topics covered in this volume demonstrate the increasingly interdisciplinary nature of VLSI implementation of video signal processing applications, involving interactions between algorithms, VLSI architectures, circuit techniques, semiconductor technologies and CAD for microelectronics.

This book provides a comprehensive exploration of the exciting intersection between technology and biology and delves into the principles, applications, and future directions of IoT in the realm of bioelectronics; it serves as both an introduction for those new to the field and as a detailed reference for experienced professionals seeking to deepen their knowledge. The rapid convergence of technology and biology heralds a new era of evolution in the Internet of Things (IoT), a transformative force enabling interconnected devices to communicate and operate with unparalleled synergy. This is particularly true in the groundbreaking field of bioelectronics, where the fusion of biological systems with electronic devices and IoT is reshaping the landscape of bioelectronics, promising to open up new frontiers in healthcare, diagnostics, and personalized medicine. This timely book explores the numerous ways in which IoT-enabled bioelectronic devices are used to monitor and enhance human health, from wearable sensors that track vital signs to implantable devices that can communicate with healthcare providers in real time. One central theme of this book is the transformative impact of IoT on healthcare. By enabling continuous, remote monitoring of patients, IoT technologies are not only improving the accuracy of diagnostics but also making healthcare more accessible and personalized. The book also addresses the critical issues of securing health records on the internet, which are of paramount importance as we increasingly rely on interconnected devices to collect and transmit sensitive health information. Additional attention is paid to the future directions of IoT in bioelectronics and the integration of innovative areas, such as artificial intelligence, machine learning, and big data analytics, in driving the development of ever more sophisticated and capable bioelectronic systems. Audience The target audience includes professionals, researchers, academics, and students involved in various fields related to bioelectronics, IoT, healthcare, biotechnology, engineering, and related disciplines.

As computer systems develop, processing speeds and user expectations grow. The demand for fast image rendering plays an increasingly important role in academic, industrial and commercial settings--from animated, photo-realistic images for cartoons and films, medical imaging and lighting design, to scientific visualisation for empirical data viewing, computer vision and molecular modelling. The realization of architectures for high performance, high quality image generation is achieved through the development and utilisation of suitable algorithms, advanced VLSI design techniques and novel approaches to simulation. This thesis introduces techniques for the generation and processing of data, primarily for the visualisation of 3D objects, for applications including real-time vehicle simulation graphics systems and workstation displays, and methods for increasing image realism. A behavioural simulation of the PRISM Geometry Processor is presented, for the production o f test vector data to prove the correctness of the design. This simulates the algorithms, data structures and communication techniques for a pipelined system architecture. The Geometry Processor is a VLSI design for performing many o f the operations required for the calculation and manipulation of data from 3D world coordinates, to 2D screen coordinates. The PRISM Advanced Image Display Architecture is a display processor design comprising three subsystems--the Span Generator, the Pixel Generator and the Rendering Unit. This novel architecture and a simulation strategy is described, with emphasis on the system algorithms. VLSI ASICs are used within each subsystem for high-speed span and pixel processing. In particular, the algorithms, design, operation and implementation of a novel ASIC, the Span Generator, for the generation of spans from triangle descriptions, is given. The PRISM architectures have targeted specific applications which attain high performance through the exclusion of both unnecessary functionality and general-purpose flexibility. A hardware and software architecture, which greatly expands on the experience gained from the PRISM architectures, offering the potential of large-scale parallelism for graphics and related computation is presented.

This book presents the select peer-reviewed proceedings of the International Conference on Signal and Data Processing (ICSDP) 2019. It examines and deliberates on the recent progresses in the areas of communication and signal processing. The book includes topics on the recent advances in the areas of wired and wireless communication, low complexity architecture of MIMO receivers, applications on wireless sensor networks and internet of things, signal processing, image processing and computer vision, VLSI embedded systems, cognitive networks, power electronics and automation, mechatronics based applications, systems and control, cognitive science and machine intelligence, information security and big data. The contents of this book will be useful for beginners, researchers, and professionals interested in the area of communication, signal processing, and allied fields.

Concentrating on the principles and techniques of image processing, this book provides an in-depth presentation of key topics, including many techniques not included in introductory texts. Practical implementation of the various image processing algorithms is an important step in learning the subject, and computer packages such as MATLAB facilitate this without the need to learn more complex programming languages. Whilst two chapters are devoted to the MATLAB programming environment and the image processing toolbox, the use of image processing algorithms using MATLAB is emphasised throughout the book, and every chapter is accompanied by a collection of exercises and programming assignments. Including coverage of colour and video image processing as well as object recognition, the book is augmented with supplementary MATLAB code and hints and solutions to problems are also provided.

This book constitutes the refereed proceedings of the 16th International Symposium on VSLI Design and Test, VDAT 2012, held in Shibpur, India, in July 2012. The 30 revised regular papers presented together with 10 short papers and 13 poster sessions were carefully selected from 135 submissions. The papers are organized in topical sections on VLSI design, design and modeling of digital circuits and systems, testing and verification, design for testability, testing memories and regular logic arrays, embedded systems: hardware/software co-design and verification, emerging technology: nanoscale computing and nanotechnology.