DocumentCode :
2266947
Title :
Next generation image compression and manipulation using CREW
Author :
Boliek, M. ; Gormish, M.J. ; Schwartz, E.L. ; Keith, A.
Author_Institution :
RICOH California Res. Center, Menlo Park, CA
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
567
Abstract :
As the applications of digital imagery expand in resolution and pixel fidelity there is a greater need for more efficient compression and extraction of images and sub-images. No longer is it sufficient to compress and decompress an image for a specific target device. The ability to handle many types of image data, extract images at different resolutions and quality, zoom and pan, and to extract regions-of-interest are the new measures of image compression systems. CREW (compression with reversible embedded wavelets) is a high quality image compression system that is progressive from high compression to lossless, pyramidal, and supports regions-of-interest and multiple image types. This paper describes the CREW system and format, shows how the correct data can be quickly extracted from a CREW file to support a variety of target devices, describes the mechanisms needed for panning, zooming, and fixed-size compression, and explains the superior performance on bi-level and graphic images
Keywords :
data compression; decoding; feature extraction; image coding; image resolution; image segmentation; transform coding; wavelet transforms; CREW; bi-level images; compression with reversible embedded wavelets; decoding; digital imagery; fixed-size compression; graphic images; image compression; image data; image extraction; image manipulation; image resolution; lossless compression; panning; performance; pixel fidelity; regions-of-interest; sub-images; zooming; Cameras; Computational modeling; Concurrent computing; Equations; Fires; Image coding; Image edge detection; Robustness; Shape; Wire;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.635650
Filename :
635650
Link To Document :
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