2007 - IEEE Fellow For contributions to image processing
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Image processing, Pattern recognition and Image restoration. Reginald L. Lagendijk performs integrative Artificial intelligence and Masking research in his work. His Data compression, Discrete cosine transform, JPEG and Contrast study, which is part of a larger body of work in Computer vision, is frequently linked to Brightness, bridging the gap between disciplines.
His Image processing study integrates concerns from other disciplines, such as Motion compensation and Filter. The Pattern recognition study combines topics in areas such as Signal-to-noise ratio, Estimation theory and Iterative reconstruction. The study incorporates disciplines such as Iterative method and Point spread function in addition to Image restoration.
Reginald L. Lagendijk mainly investigates Artificial intelligence, Computer vision, Algorithm, Digital watermarking and Encryption. His work deals with themes such as Filter and Pattern recognition, which intersect with Artificial intelligence. Many of his research projects under Computer vision are closely connected to Visual perception with Visual perception, tying the diverse disciplines of science together.
His Algorithm research incorporates themes from Convergence and Speech recognition. Reginald L. Lagendijk focuses mostly in the field of Digital watermarking, narrowing it down to matters related to Watermark and, in some cases, Robustness. His work in Encryption addresses subjects such as Cryptography, which are connected to disciplines such as Multimedia.
Reginald L. Lagendijk mostly deals with Encryption, Computer security, Homomorphic encryption, Cryptography and Information privacy. Reginald L. Lagendijk has researched Encryption in several fields, including Overhead, Data mining and Theoretical computer science. His Cryptographic protocol, Privacy preserving and Cryptographic primitive study in the realm of Computer security interacts with subjects such as Smart meter.
The various areas that Reginald L. Lagendijk examines in his Homomorphic encryption study include Recommender system and Secure multi-party computation. His study in Cryptography is interdisciplinary in nature, drawing from both Feature extraction, Video processing and Cluster analysis. His biological study spans a wide range of topics, including World Wide Web and Data Protection Act 1998.
His primary scientific interests are in Information privacy, Homomorphic encryption, Service provider, Encryption and Computer security. Reginald L. Lagendijk combines subjects such as World Wide Web and Personally identifiable information with his study of Information privacy. Much of his study explores Homomorphic encryption relationship to Cryptography.
His Cryptography research is multidisciplinary, incorporating elements of Computation, Theoretical computer science, Cluster analysis and Public-key cryptography. His research in Encryption intersects with topics in Secure multi-party computation and Privacy software. Reginald L. Lagendijk regularly links together related areas like Protocol in his Computer security studies.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Watermarking digital image and video data. A state-of-the-art overview
G.C. Langelaar;I. Setyawan;R.L. Lagendijk.
IEEE Signal Processing Magazine (2000)
Iterative methods for image deblurring
J. Biemond;R.L. Lagendijk;R.M. Mersereau.
Proceedings of the IEEE (1990)
Iterative Identification and Restoration of Images
R.L. Lagendijk;A.K. Katsaggelos;J. Biemond.
Optimal differential energy watermarking of DCT encoded images and video
G.C. Langelaar;R.L. Lagendijk.
IEEE Transactions on Image Processing (2001)
Regularized iterative image restoration with ringing reduction
R.L. Lagendijk;J. Biemond;D.E. Boekee.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1988)
Automated high-level movie segmentation for advanced video-retrieval systems
A. Hanjalic;R.L. Lagendijk;J. Biemond.
IEEE Transactions on Circuits and Systems for Video Technology (1999)
Noise reduction filters for dynamic image sequences: a review
J.C. Brailean;R.P. Kleihorst;S. Efstratiadis;A.K. Katsaggelos.
Proceedings of the IEEE (1995)
Iterative identification and restoration of images
Reginald L. Lagendijk;Jan Biemond.
The Kluwer International Series in Engineering and Computer Science (1991)
Identification and restoration of noisy blurred images using the expectation-maximization algorithm
R.L. Lagendijk;J. Biemond;D.E. Boekee.
IEEE Transactions on Acoustics, Speech, and Signal Processing (1990)
Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation
R. L. Lagendijk;M. Barni.
IEEE Signal Processing Magazine (2013)
Profile was last updated on December 6th, 2021.
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