A Gaussian Derivative Based Version of JPEG for Image Compression and Decompression

dc.contributor.authorMorgan, Alexander P.en
dc.contributor.authorWatson, Layne T.en
dc.contributor.authorYoung, Richard A.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:36:26Zen
dc.date.available2013-06-19T14:36:26Zen
dc.date.issued1995-11-01en
dc.description.abstractThe compression and decompression of continuous-tone images is important in document management and transmission systems. This paper considers an alternative image representation scheme, based on Gaussian derivatives, to the standard discrete cosine transformation (DCT), within a JPEG framework. Depending on the computer arithmetic hardware used, the approach developed here might yield a compression/decompression technique twice as fast as the DCT and of (essentially) equal quality.en
dc.format.mimetypeapplication/postscripten
dc.identifierhttp://eprints.cs.vt.edu/archive/00000437/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000437/01/TR-95-22.psen
dc.identifier.trnumberTR-95-22en
dc.identifier.urihttp://hdl.handle.net/10919/19939en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofHistorical Collection(Till Dec 2001)en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleA Gaussian Derivative Based Version of JPEG for Image Compression and Decompressionen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Name:
TR-95-22.ps
Size:
2.63 MB
Format:
Postscript Files