New Approaches for Multidimensional Signal Processing: Proceedings of International Workshop, NAMSP 2022

This book is a collection of papers from the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2022), covering various topics in multidimensional signal processing, including image processing, representation, and reconstruction, computer vision, multimedia systems, neural networks, and more.

Format: Hardback
Length: 276 pages
Publication date: 03 December 2022
Publisher: Springer Verlag, Singapore

This book is a comprehensive compilation of papers presented at the International Workshop on New Approaches for Multidimensional Signal Processing (NAMSP 2022), which took place at the Technical University of Sofia, Sofia, Bulgaria, from June 23 to 25, 2022. Spanning a wide range of topics, the book delves into the realm 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 numerous other cutting-edge areas.

The contributions showcased in this volume represent the latest advancements and innovative approaches in the field of multidimensional signal processing. The workshop, organized by the Technical University of Sofia, brought together experts from around the world to discuss and exchange ideas on emerging trends and challenges in this interdisciplinary domain.

The book is divided into several sections, each focusing on a specific aspect of multidimensional signal processing. The first section explores the fundamentals of N-dimensional multicomponent image processing, including techniques for image segmentation, feature extraction, and pattern recognition. The second section examines multidimensional image representation and super-resolution, focusing on methods for enhancing the resolution and quality of images in various dimensions.

The third section explores 3D image processing and reconstruction, covering topics such as 3D modeling, reconstruction, and visualization. The fourth section focuses on MD computer vision systems, including applications in object detection, tracking, and scene understanding. The fifth section explores multidimensional multimedia systems, including content-based indexing, retrieval, and presentation of multimedia data.

The sixth section explores neural networks for MD image processing, including convolutional neural networks, recurrent neural networks, and deep learning algorithms. The seventh section focuses on data-based MD image retrieval and knowledge data mining, including techniques for indexing, searching, and analyzing large datasets of medical images.

The eighth section explores watermarking, hiding, and encryption of MD images, addressing the security and privacy concerns associated with medical imaging data. The ninth section explores MD image processing in robot systems, including applications in autonomous navigation, manipulation, and perception.

The tenth section explores tensor-based data processing, including techniques for efficient computation and analysis of large datasets. The eleventh section explores 3D and multi-view visualization, including methods for creating immersive and interactive visualizations of 3D data.

The twelfth section explores forensic analysis systems for MD images, including applications in medical imaging forensics, law enforcement, and security.

In conclusion, this book serves as a valuable resource for researchers, practitioners, and students interested in multidimensional signal processing. It provides a comprehensive overview of the latest developments and trends in this field, covering a wide range of topics and applications. The contributions showcased in this volume are expected to have a significant impact on the future of multidimensional signal processing and its applications in various industries.

Weight: 606g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811978418
Edition number: 1st ed. 2023