Edward L. Schwartz focuses on Algorithm, Wavelet transform, Lossy compression, Decoding methods and Lossless compression. Edward L. Schwartz incorporates Algorithm and Data stream in his research. Edward L. Schwartz is investigating Wavelet, Computer vision and Artificial intelligence as part of his examination of Wavelet transform.
His research in the fields of Feature detection and Image overlaps with other disciplines such as Inverse. His work focuses on many connections between Decoding methods and other disciplines, such as Encoding, that overlap with his field of interest in Compression, Parallel computing and Decodes. His Lossless compression research is multidisciplinary, relying on both Entropy encoding, Image compression and Discrete cosine transform.
Edward L. Schwartz spends much of his time researching Algorithm, Artificial intelligence, Computer vision, Wavelet transform and Decoding methods. His study in Algorithm is interdisciplinary in nature, drawing from both Entropy and Lossy compression. As a part of the same scientific family, he mostly works in the field of Entropy, focusing on Encoder and, on occasion, Computer hardware.
His work on Image and Image quality as part of general Artificial intelligence study is frequently linked to Set, therefore connecting diverse disciplines of science. His research in Wavelet transform intersects with topics in Electronic engineering and Compression. His biological study spans a wide range of topics, including Speech recognition, Encoding and Parallel computing.
Edward L. Schwartz mainly investigates Artificial intelligence, Computer vision, Image, Database and User interface. His Artificial intelligence study combines topics in areas such as Lens and Optical imaging. The various areas that Edward L. Schwartz examines in his Computer vision study include Electronic engineering, Finite impulse response and Filter bank.
Edward L. Schwartz combines subjects such as Pattern recognition, Table and Document management system with his study of Image. In general Database, his work in Workflow is often linked to Provider Edge, Application service provider and Business service provider linking many areas of study. His User interface research incorporates elements of Software architecture, Multimedia and Portable computing.
His primary scientific interests are in Artificial intelligence, Computer vision, Image, Scene analysis and Computer graphics. His Pattern recognition research extends to the thematically linked field of Artificial intelligence. The Computer vision study combines topics in areas such as Identification, Mobile device and Document management system.
His work carried out in the field of Image brings together such families of science as Object, Generator, Class and Table. The concepts of his Table study are interwoven with issues in Sorting, Data type and Theoretical computer science. His work deals with themes such as Pixel, Controller and Projection, which intersect with Computer graphics.
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.
CREW: Compression with Reversible Embedded Wavelets
A. Zandi;J.D. Allen;E.L. Schwartz;M. Boliek.
data compression conference (1995)
Method and apparatus for parallel decoding and encoding of data
James D. Allen;Martin Boliek;Edward L. Schwartz.
Method and apparatus for encoding and decoding data
Edward L. Schwartz;Michael J. Gormish;James D. Allen;Martin Boliek.
Method and apparatus for compressing and decompressing images of documents
Edward L. Schwartz.
Workflow manager for a distributed system
Max E. McFarland;Daja Phillips;Andrea Mariotti;Haixia Yu.
Compression and decompression system with reversible wavelets and lossy reconstruction
Edward L Schwartz;エル シュワルツ エドワード;F Keith Alexander;エフ キース アレクサンダー.
Apparatus for compression using reversible embedded wavelets
James D Allen;Martin P Boliek;Edward L Schwartz;Ahmad Zandi.
Reformatting documents using document analysis information
Kathrin Berkner;Christophe Marle;Edward L. Schwartz;Michael J. Gormish.
Method and apparatus for compression using reversible wavelet transforms and an embedded codestream
Ahmad Zandi;Edward L. Schwartz;Michael J. Gormish;Martin Boliek.
Reversible wavelet transform and embedded codestream manipulation
Ahmad Zandi;Martin Boliek.
Profile was last updated on December 6th, 2021.
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