Show simple item record

dc.contributor.authorDesai, Ujjaval Y.en_US
dc.contributor.authorMizuki, Marcelo M.en_US
dc.contributor.authorMasaki, Ichiroen_US
dc.contributor.authorHorn, Berthold K.P.en_US
dc.date.accessioned2004-10-04T14:15:47Z
dc.date.available2004-10-04T14:15:47Z
dc.date.issued1996-11-01en_US
dc.identifier.otherAIM-1584en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5943
dc.description.abstractIn this paper, we present a static image compression algorithm for very low bit rate applications. The algorithm reduces spatial redundancy present in images by extracting and encoding edge and mean information. Since the human visual system is highly sensitive to edges, an edge-based compression scheme can produce intelligible images at high compression ratios. We present good quality results for facial as well as textured, 256~x~256 color images at 0.1 to 0.3 bpp. The algorithm described in this paper was designed for high performance, keeping hardware implementation issues in mind. In the next phase of the project, which is currently underway, this algorithm will be implemented in hardware, and new edge-based color image sequence compression algorithms will be developed to achieve compression ratios of over 100, i.e., less than 0.12 bpp from 12 bpp. Potential applications include low power, portable video telephones.en_US
dc.format.extent11 p.en_US
dc.format.extent2864296 bytes
dc.format.extent790595 bytes
dc.format.mimetypeapplication/postscript
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-1584en_US
dc.subjectAIen_US
dc.subjectMITen_US
dc.subjectArtificial Intelligenceen_US
dc.titleEdge and Mean Based Image Compressionen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record