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Title: Storage and retrieval of large digital images

Abstract

Image compression and viewing are implemented with (1) a method for performing DWT-based compression on a large digital image with a computer system possessing a two-level system of memory and (2) a method for selectively viewing areas of the image from its compressed representation at multiple resolutions and, if desired, in a client-server environment. The compression of a large digital image I(x,y) is accomplished by first defining a plurality of discrete tile image data subsets T.sub.ij (x,y) that, upon superposition, form the complete set of image data I(x,y). A seamless wavelet-based compression process is effected on I(x,y) that is comprised of successively inputting the tiles T.sub.ij (x,y) in a selected sequence to a DWT routine, and storing the resulting DWT coefficients in a first primary memory. These coefficients are periodically compressed and transferred to a secondary memory to maintain sufficient memory in the primary memory for data processing. The sequence of DWT operations on the tiles T.sub.ij (x,y) effectively calculates a seamless DWT of I(x,y). Data retrieval consists of specifying a resolution and a region of I(x,y) for display. The subset of stored DWT coefficients corresponding to each requested scene is determined and then decompressed for input to an inversemore » DWT, the output of which forms the image display. The repeated process whereby image views are specified may take the form an interaction with a computer pointing device on an image display from a previous retrieval.« less

Inventors:
 [1]
  1. Los Alamos, NM
Issue Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
OSTI Identifier:
871339
Patent Number(s):
5710835
Assignee:
Regents of University of California, Office of Technology (Alameda, CA)
Patent Classifications (CPCs):
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04N - PICTORIAL COMMUNICATION, e.g. TELEVISION
DOE Contract Number:  
W-7405-ENG-36
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
storage; retrieval; digital; images; image; compression; viewing; implemented; method; performing; dwt-based; computer; possessing; two-level; memory; selectively; compressed; representation; multiple; resolutions; desired; client-server; environment; accomplished; defining; plurality; discrete; tile; data; subsets; ij; superposition; form; complete; set; seamless; wavelet-based; process; effected; comprised; successively; inputting; tiles; selected; sequence; dwt; routine; storing; resulting; coefficients; primary; periodically; transferred; secondary; maintain; sufficient; processing; operations; effectively; calculates; consists; specifying; resolution; region; display; subset; stored; corresponding; requested; scene; determined; decompressed; input; inverse; output; forms; repeated; whereby; views; specified; interaction; device; previous; process whereby; image data; data processing; digital image; complete set; compression process; digital images; image display; periodically compressed; image compression; sufficient memory; /382/375/

Citation Formats

Bradley, Jonathan N. Storage and retrieval of large digital images. United States: N. p., 1998. Web.
Bradley, Jonathan N. Storage and retrieval of large digital images. United States.
Bradley, Jonathan N. Thu . "Storage and retrieval of large digital images". United States. https://www.osti.gov/servlets/purl/871339.
@article{osti_871339,
title = {Storage and retrieval of large digital images},
author = {Bradley, Jonathan N},
abstractNote = {Image compression and viewing are implemented with (1) a method for performing DWT-based compression on a large digital image with a computer system possessing a two-level system of memory and (2) a method for selectively viewing areas of the image from its compressed representation at multiple resolutions and, if desired, in a client-server environment. The compression of a large digital image I(x,y) is accomplished by first defining a plurality of discrete tile image data subsets T.sub.ij (x,y) that, upon superposition, form the complete set of image data I(x,y). A seamless wavelet-based compression process is effected on I(x,y) that is comprised of successively inputting the tiles T.sub.ij (x,y) in a selected sequence to a DWT routine, and storing the resulting DWT coefficients in a first primary memory. These coefficients are periodically compressed and transferred to a secondary memory to maintain sufficient memory in the primary memory for data processing. The sequence of DWT operations on the tiles T.sub.ij (x,y) effectively calculates a seamless DWT of I(x,y). Data retrieval consists of specifying a resolution and a region of I(x,y) for display. The subset of stored DWT coefficients corresponding to each requested scene is determined and then decompressed for input to an inverse DWT, the output of which forms the image display. The repeated process whereby image views are specified may take the form an interaction with a computer pointing device on an image display from a previous retrieval.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {1}
}

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