2014 - ACM Senior Member
2003 - Fellow of the Indian National Academy of Engineering (INAE)
1998 - SPIE Fellow
1997 - IEEE Fellow For contributions to image compression and processing.
His primary scientific interests are in Artificial intelligence, Computer vision, Image processing, Digital watermarking and Pattern recognition. His research on Artificial intelligence frequently links to adjacent areas such as Algorithm. His Image processing study combines topics in areas such as Motion estimation, Mobile computing, Motion analysis and Digital camera.
His Digital watermarking research includes elements of Watermark, Multimedia and Digital image. His Watermark study incorporates themes from Information hiding and Authentication. He interconnects Transform coding and Decoding methods in the investigation of issues within Data compression.
Edward J. Delp mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Image processing and Algorithm. His studies in Image segmentation, Segmentation, Data compression, Image and Pixel are all subfields of Artificial intelligence research. His studies deal with areas such as Transform coding, Real-time computing, Codec and Image compression as well as Data compression.
Motion compensation, Feature extraction, Digital watermarking, Video tracking and Image texture are the core of his Computer vision study. His Digital watermarking study also includes
Edward J. Delp mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Convolutional neural network and Segmentation. His research in Artificial intelligence focuses on subjects like Microscopy, which are connected to Image quality. His research in Computer vision is mostly concerned with Color image.
His studies in Pattern recognition integrate themes in fields like Histogram, Process and Synthetic data. His study in Convolutional neural network is interdisciplinary in nature, drawing from both Artificial neural network, Recurrent neural network, Data compression and System identification. Many of his studies on Segmentation apply to Ground truth as well.
His primary areas of study are Artificial intelligence, Computer vision, Convolutional neural network, Pattern recognition and Image segmentation. His Microscopy research extends to Artificial intelligence, which is thematically connected. In his study, Watermark, Embedding, Wiener filter, Digital camera and Digital watermarking is inextricably linked to Robustness, which falls within the broad field of Computer vision.
His Pattern recognition research is multidisciplinary, incorporating perspectives in Matching, Histogram, Detector and Image retrieval. The concepts of his Image segmentation study are interwoven with issues in Midpoint, Information retrieval and Dietary assessment. His Image processing course of study focuses on Synthetic data and Process.
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.
Perceptual watermarks for digital images and video
Raymond B. Wolfgang;Christine I. Podilchuk;Edward J. Delp.
Proceedings of the IEEE (1999)
Image Compression Using Block Truncation Coding
E. Delp;O. Mitchell.
IEEE Transactions on Communications (1979)
Digital watermarking: algorithms and applications
C.I. Podilchuk;E.J. Delp.
IEEE Signal Processing Magazine (2001)
A watermark for digital images
R.B. Wolfgang;E.J. Delp.
international conference on image processing (1996)
An iterative growing and pruning algorithm for classification tree design
S.B. Gelfand;C.S. Ravishankar;E.J. Delp.
systems man and cybernetics (1989)
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation
Fengqing Zhu;Marc Bosch;Insoo Woo;SungYe Kim.
IEEE Journal of Selected Topics in Signal Processing (2010)
Optimum color spaces for skin detection
A. Albiol;L. Torres;E.J. Delp.
international conference on image processing (2001)
Detection of image alterations using semifragile watermarks
Eugene T. Lin;Christine I. Podilchuk;Edward J. Delp.
electronic imaging (2000)
Advances in Digital Video Content Protection
E.I. Lin;A.M. Eskicioglu;R.L. Lagendijk;E.J. Delp.
Proceedings of the IEEE (2005)
A Review of Fragile Image Watermarks
Eugene T. Lin;Edward J. Delp.
Profile was last updated on December 6th, 2021.
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