Quaternion-Based Sparse Image Processing: Advances in Multispectral Processing - Brossura

Brossura

ISBN 10: 0443292442 ISBN 13: 9780443292446

Casa editrice: Elsevier, 2025

Riassunto

Quaternion-Sparse Image Processing: Advances in Multispectral Processing brings together the technologies, research, and managerial applications of quaternion-sparse based complex algebra in image processing. The book covers the entire range of complicated tasks performed on color images, including denoising, reconstruction, classification, hallucination, feature extraction, dimension reduction, and regularization. It provides easy understanding and smooth adaptability of basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.

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Informazioni sugli autori

Satya Prakash Yadav is currently an Associate Professor in the School of Computer Science Engineering and Technology (SCSET), Bennett University, Greater Noida, U.P., India. He has undergone industrial training programs during which he was involved in live projects. with companies in the areas of SAP, Railway Traffic Management Systems, and Visual

Vehicles Counter and Classification (used in the Metro rail network design). He has published two patents, as well as authoring many research articles and conference papers on subjects including image processing, information retrieval, digital image processing, feature extraction, data structure, C, C++, C#, and Java.

Pethuru Raj PhD works as chief architect and vice president of site reliability engineering (SRE) division of Reliance Jio Infocomm. Ltd. Bangalore. Previously he worked as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence (CoE), Bangalore. He worked as a TOGAF-certified enterprise architecture (EA) consultant in Wipro Consulting Services (WCS) Division and as a lead architect in the corporate research (CR) division of Robert Bosch, India. He has gained more than 18 years of IT industry experience.
He finished the CSIR-sponsored PhD degree in Anna University, Chennai and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. He has authored and edited 18 books thus far and he focuses on some of the emerging technologies such as Containerized Clouds; Big, Fast, and Streaming Data Analytics; Microservices architecture (MSA); Machine and Deep Learning Algorithms; Blockchain Technology; The Internet of Things; and Edge Computing. He has published more than 30 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc.

Dr. Fadi Al-Turjman is the Associate Dean for Research Center for AI and IoT, AI and Robotics Institute, Near East University, Nicosia, Mersin 10, Turkey. He received his Ph.D. in Computer Science from Queen’s University, Canada. Dr. Al-Turjman is a leading authority in the areas of smart/intelligent, wireless, and mobile networks. His publication history spans over 400 SCI/E publications, and more than 11,000 citations, in addition to numerous keynotes and plenary talks at flagship venues. He has authored and edited more than 40 books about cognition, security, and wireless sensor networks’ deployments in smart IoT environments, which have been published by well-reputed publishers such as Taylor and Francis, Elsevier, IET, and Springer. Dr. Al-Turjman received several recognitions and best papers’ awards at top international conferences, including Best Research Paper Award from Elsevier Computer Communications Journal. Dr. Al-Turjman has led a number of international symposia and workshops for flagship communication society conferences. Currently, he serves as book series editor and lead guest/associate editor for several top tier journals, including IEEE Communications Surveys and Tutorials and Elsevier Sustainable Cities and Society, in addition to organizing international conferences and symposiums on leading-edge research topics in AI and IoT.

Victor Hugo C. de Albuquerque [M’17, SM’19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil.
He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.

Dr. Sudesh Yadav is an Assistant Professor (Computer Science) in Dept. of Higher Education Haryana. She is currently working at Govt. College, Ateli, Indira Gandhi University Meerpur, Rewari, Haryana. She has awarded her M.Tech. Degree in Information Security with distinction from Guru Gobind Singh Indraprastha University. She has done her Ph. D. in Computer Science and Engineering from Guru Gobind Singh Indraprastha University Delhi with fellowship. A prolific writer, Dr. Sudesh Yadav has authored many research papers in web of science indexed journals. Additionally, she has presented research papers at many international conferences and seminars in the areas of Image Processing, Information retrieval, Features extraction and Programming, artificial intelligence, IoT, digital image processing, soft computing and pattern recognition, natural language processing. She has reviewed many research papers of international journals and conferences and seminars. Her area of interest is artificial intelligence, digital image processing, feature extraction, sparse representation, internet of things, internet of medical things, information retrieval, data science etc.

Dalla quarta di copertina

The conventional method of processing an image is to express multispectral images as vectors or matrices. However, the quaternion representation offers a better alternative as it contains the complete information of features of color images. Quaternion-Sparse Image Processing brings together the technologies, research and managerial applications of quaternion-sparse based complex algebra in image processing. The book covers the entire range of complicated tasks performed on color images, including denoising, reconstruction, classification, hallucination, feature extraction, dimension reduction, and regularization. It provides easy understanding and smooth adaptability of the basic and advanced concepts for graduate students, researchers, doctors, academics, and practitioners.

Dettagli dell?edizione

• Editore: Elsevier
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 0443292442
• ISBN 13: 9780443292446
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 360
• Redattore: Yadav
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia