New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2021

This book covers research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding, and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images, and many more.

Format: Hardback
Length: 332 pages
Publication date: 22 March 2022
Publisher: Springer Verlag, Singapore

This book is a compilation of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2021), which took place at the Technical University of Sofia in Sofia, Bulgaria, from July 8 to 10, 2021. The book encompasses a wide range of research papers in the field of N-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD computer vision systems, multidimensional multimedia systems, neural networks for MD image processing, data-based MD image retrieval and knowledge data mining, watermarking, hiding and encryption of MD images, MD image processing in robot systems, tensor-based data processing, 3D and multi-view visualization, forensic analysis systems for MD images, and many other related areas.

The first chapter of the book introduces the workshop and provides an overview of the topics covered in the subsequent chapters. It highlights the importance of multidimensional signal processing in various applications, such as medical imaging, surveillance, and remote sensing. The chapter also mentions the challenges faced in these applications and the need for new approaches to address them.

The second chapter focuses on multidimensional multicomponent image processing. It discusses various techniques for image segmentation, feature extraction, and pattern recognition in multidimensional data. The chapter also explores the application of these techniques in medical imaging, such as MRI and CT scans.

The third chapter discusses multidimensional image representation and super-resolution. It explores different methods for representing and reconstructing images in higher dimensions, such as 3D and 4D. The chapter also discusses the application of these techniques in computer vision, such as object detection and tracking.

The fourth chapter focuses on 3D image processing and reconstruction. It discusses various techniques for generating and manipulating 3D images, such as ray tracing, volume rendering, and mesh modeling. The chapter also explores the application of these techniques in computer graphics, such as game development and virtual reality.

The fifth chapter discusses MD computer vision systems. It discusses the development of computer vision systems that can process and analyze multidimensional data, such as images, videos, and sensor data. The chapter also highlights the application of these systems in various fields, such as autonomous vehicles, medical imaging, and surveillance.

The sixth chapter focuses on multidimensional multimedia systems. It discusses the development of multimedia systems that can handle and process multidimensional data, such as audio, video, and 3D graphics. The chapter also explores the application of these systems in entertainment, education, and communication.

The seventh chapter discusses neural networks for MD image processing. It discusses the use of neural networks in various tasks, such as image classification, object detection, and segmentation. The chapter also highlights the advantages and limitations of neural networks in MD image processing.

The eighth chapter focuses on data-based MD image retrieval and knowledge data mining. It discusses the use of data-driven approaches to retrieve and analyze multidimensional data, such as images, videos, and sensor data. The chapter also highlights the application of these techniques in various fields, such as medical imaging, surveillance, and environmental monitoring.

The ninth chapter focuses on watermarking, hiding, and encryption of MD images. It discusses the use of digital watermarking techniques to protect the copyright of digital images and videos. The chapter also discusses the use of cryptographic techniques to encrypt sensitive data and protect it from unauthorized access.

The tenth chapter focuses on MD image processing in robot systems. It discusses the use of MD image processing in robot vision and navigation systems. The chapter also highlights the application of these techniques in industrial automation, such as assembly line inspection and packaging.

The eleventh chapter focuses on tensor-based data processing. It discusses the use of tensor networks in various tasks, such as image classification, object detection, and segmentation. The chapter also highlights the advantages and limitations of tensor networks in MD image processing.

The twelfth chapter focuses on 3D and multi-view visualization. It discusses the use of 3D visualization techniques to represent and manipulate multidimensional data, such as images, videos, and 3D models. The chapter also explores the application of these techniques in various fields, such as entertainment, education, and engineering.

The thirteenth chapter focuses on forensic analysis systems for MD images. It discusses the use of MD image processing in forensic science and law enforcement. The chapter also highlights the application of these techniques in various fields, such as crime scene investigation, facial recognition, and fingerprint analysis.

The fourteenth chapter focuses on the future of MD image processing. It discusses the emerging trends and challenges in the field, such as deep learning, artificial intelligence, and big data. The chapter also highlights the potential applications of these technologies in various fields, such as medical imaging, surveillance, and environmental monitoring.

In conclusion, this book is a valuable resource for researchers, practitioners, and students interested in multidimensional signal processing and its applications. It provides a comprehensive overview of the latest research and developments in the field, covering a wide range of topics, from image processing to computer vision and multimedia systems. The book is well-organized, easy to read, and provides detailed explanations of the techniques and algorithms used in each chapter. I highly recommend this book to anyone who wants to stay up-to-date with the latest advances in multidimensional signal processing.

The book is a valuable resource for researchers, practitioners, and students interested in multidimensional signal processing and its applications. It provides a comprehensive overview of the latest research and developments in the field, covering a wide range of topics, from image processing to computer vision and multimedia systems. The book is well-organized, easy to read, and provides detailed explanations of the techniques and algorithms used in each chapter. I highly recommend this book to anyone who wants to stay up-to-date with the latest advances in multidimensional signal processing.

Weight: 694g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811685576
Edition number: 1st ed. 2022