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Digital Image Security: Techniques and Applications

ISBN-13: 9781032408590 / Twarda / 2024 / 432 str.

Digital Image Security: Techniques and Applications  9781032408590 Taylor & Francis Ltd - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Digital Image Security: Techniques and Applications

ISBN-13: 9781032408590 / Twarda / 2024 / 432 str.

cena 902,39 zł
(netto: 859,42 VAT:  5%)

Najniższa cena z 30 dni: 856,36 zł
Termin realizacji zamówienia:
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inne wydania

This book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas.

Kategorie:
Technologie
Kategorie BISAC:
Technology & Engineering > Imaging Systems
Computers > Computer Engineering
Computers > Image Processing
Wydawca:
Taylor & Francis Ltd
ISBN-13:
9781032408590
Rok wydania:
2024
Ilość stron:
432
Wymiary:
23.4 x 15.6
Oprawa:
Twarda
Dodatkowe informacje:
Wydanie ilustrowane

1. Covid-19 electronic health data security for smart hospitals. 2. Image Security using Quantum Hash Functions. 3. Post Quantum Image Security- Challenges and Opportunities. 4. Moving Towards 3D-Biometric. 5. A Secured Dual Image Watermarking technique using QR decomposition, Henon map and Chaotic encryption in wavelet domain and its authentication using BRISK Divyanshu. 6. Securing Digital Images Using HT-MSVD in Wavelet Domain. 7. Scalable Edge Computing Architecture for Multimedia Data Management: Challenges and Research Avenues. 8. Trustworthiness in Deepfake Detection using Explainability. 9. Cyber Threat Intelligence: A Standardized Protective Approach for Industrial Cyber Defence. 10. Watermarking with Blockchain: A Survey. 11. No Reference Medical Image Quality Assessment for Image security and Authorization. 12. Do digital images tell the truth? 13. A Multi-Layer Encryption with AES And Two Fish encryption algorithm for smart assistant Security. 14. Cancelable Biometrics for Fingerprint Template Protection. 15. Computational Intelligence: An Optimization Perspective for Data Privacy against adversaries

Amit Kumar Singh is currently working as an Associate Professor in the Computer Science and Engineering Department, National Institute of Technology Patna, Bihar, India. He has authored over 250 peer-reviewed journal, conference publications, and book chapters. Dr. Singh has been recognized as "WORLD RANKING OF TOP 2% SCIENTISTS" in the area of “Biomedical Research" (for Year 2019) and “Artificial Intelligence & Image Processing” (for Year 2020), according to the survey given by Stanford University, USA. Dr. Singh is the associate editor of IEEE Trans. Multimedia, IEEE Trans. Ind. Informat, IEEE Trans. Computat. Social Syst, ACM Trans. Multimedia Comput. Commun. Appl., IEEE J. Biomed. Heal. Informatics etc. Dr. Singh is the series editor of The IET International Book Series on Multimedia Information Processing and Security. He has edited various international journal special issues as a lead guest editor such as such as ACM Transactions on Multimedia Computing, Communications, and Applications, ACM Transactions on Internet Technology, IEEE Transactions on Industrial Informatics, IEEE Journal of Biomedical and Health Informatics, IEEE Multimedia,  IEEE Access, Multimedia Tools and Applications, Springer,  International Journal of Information Management, Elsevier, Journal of Ambient Intelligence and Humanized Computing, Springer Etc. His research interests include multimedia data hiding, image processing, biometrics, & cryptography.

Since 2011, Stefano Berretti is an Associate Professor at the Media Integration and Communication Center (MICC) and at the Department of Information Engineering (DINFO) of the University of Florence (UNIFI), Florence, Italy, In April 2017, he got the habilitation as full Professor in Computer Engineering from the Italian Ministry of Education, University and Research (MIUR). His research interests are in the areas of Computer Vision, Artificial Intelligence and Multimedia. During his Ph.D. and post-doc, he worked on image databases for effective and efficient image retrieval based on colour, shape attributes and spatial relationships. He also investigated the problem of retrieval from repositories distributed on the net using resource selection and results fusion.  He provided several contributions on 3D object retrieval and partitioning, face biometrics (from 2D and 3D data), facial expression and emotion recognition (from 3D and 3D dynamic data), human action recognition from depth data, and 3D surface descriptors for relief patterns classification. Recently, extended his interests to deep learning methods for face recognition, and to their generalization to non-Euclidean domains (i.e., graphs, meshes, manifolds, etc.). He is a member of the Italian Association for "Computer Vision, Pattern Recognition and Machine Learning" (CVPL), previously known as "Group of Italian Researchers on Pattern Recognition" (GIRPR) affiliated to the International Association on Pattern Recognition (IAPR), of the Computer Vision Foundation (CVF), of ACM, Eurographics, and a senior member of the IEEE. He has been the Information Director of the ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), and he is now an Associate Editor for ACM TOMM, IEEE TCSVT, the IET Computer Vision Journal and of the Mdpi Sensors journal. He has also organized five special issues in highly ranked journals (ACM TOMM, IEEE J-BHI, CAG Elsevier, IEEE TII) and served as editor of several books He has been general chair, program chair and area chair of several conferences and workshops.

Ashisma Anand is currently working as an Assistant Professor in the Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Thaper University, Patiala, Punjab. She received her Ph.D from National Institute of Technology, Patna in 2021, B.Tech from National Institute of Technology, Hamirpur, in 2017. She has authored many peer-reviewed journals and conferences in repute. Her area of Specialization is Data Hiding methods, Digital Image Processing, Information Security & Cryptography.

Amrit Kumar Agrawal is currently working as an Associate Professor in the Department of Computer Science and Engineering, Sharda University, Greater Noida. He received his Ph.D. in Computer Science & Engineering from Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India in June 2020, M.Tech. (Gold Medalist) in Computer Science and Engineering from Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh in 2010 and B. Tech. degree in Computer Science and Engineering from UNS, Institute of Engineering and Technology, Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh in 2005. He has authored many peer-reviewed journals and conferences in repute. His research interests include Biometrics, Image Analysis & Image Security.

 



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