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Introduction to the Special Issue on Recent Developments in Multimedia Watermarking Using Machine Learning
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Amit Kumar Singh
Amit Kumar Singh is currently working as an assistant professor in the Department of Computer Science and Engineering at Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh, India, since April 2008. He has completed his PhD at the Department of Computer Engineering, NIT Kurukshetra, Haryana, in 2015. Dr. Singh was recently appointed as the Associate Editor of IEEE Access and Multimedia Tools and Applications (MTAP), Springer. He has presented and published more than 50 research papers in reputed journals and various national and international conferences. His research interests include multimedia security, data hiding, biometrics, and cryptography.
Published/Copyright:
September 26, 2017
Published Online: 2017-09-26
Published in Print: 2018-01-26
©2018 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Editorial
- Introduction to the Special Issue on Recent Developments in Multimedia Watermarking Using Machine Learning
- Multiple Watermarking for Healthcare Applications
- Medical Image Reliability Verification Using Hash Signatures and Sequential Square Encoding
- An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization
- A Novel Scene-Based Video Watermarking Scheme for Copyright Protection
- Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy
- A Parallel Algorithm for Wavelet Transform-Based Color Image Compression
- Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images
- Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network
- An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm
Articles in the same Issue
- Frontmatter
- Editorial
- Introduction to the Special Issue on Recent Developments in Multimedia Watermarking Using Machine Learning
- Multiple Watermarking for Healthcare Applications
- Medical Image Reliability Verification Using Hash Signatures and Sequential Square Encoding
- An Image Authentication Algorithm Using Combined Approach of Watermarking and Vector Quantization
- A Novel Scene-Based Video Watermarking Scheme for Copyright Protection
- Novel Relevance Feedback Approach for Color Trademark Recognition Using Optimization and Learning Strategy
- A Parallel Algorithm for Wavelet Transform-Based Color Image Compression
- Combining Haar Wavelet and Karhunen-Loeve Transform for Robust and Imperceptible Data Hiding Using Digital Images
- Machine Learning-Based Robust Watermarking Technique for Medical Image Transmitted Over LTE Network
- An Efficient Medical Image Watermarking Technique in E-healthcare Application Using Hybridization of Compression and Cryptography Algorithm
