Image compression technique
Abstract
An image is compressed by identifying edge pixels of the image; creating a filled edge array of pixels each of the pixels in the filled edge array which corresponds to an edge pixel having a value equal to the value of a pixel of the image array selected in response to the edge pixel, and each of the pixels in the filled edge array which does not correspond to an edge pixel having a value which is a weighted average of the values of surrounding pixels in the filled edge array which do correspond to edge pixels; and subtracting the filled edge array from the image array to create a difference array. The edge file and the difference array are then separately compressed and transmitted or stored. The original image is later reconstructed by creating a preliminary array in response to the received edge file, and adding the preliminary array to the received difference array. Filling is accomplished by solving Laplace's equation using a multi-grid technique. Contour and difference file coding techniques also are described. The techniques can be used in a method for processing a plurality of images by selecting a respective compression approach for each image, compressing eachmore »
- Inventors:
-
- San Francisco, CA
- Livermore, CA
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- OSTI Identifier:
- 870885
- Patent Number(s):
- 5615287
- Assignee:
- Regents of University of California (Oakland, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- W-7405-ENG-48
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- image; compression; technique; compressed; identifying; edge; pixels; creating; filled; array; corresponds; pixel; value; equal; selected; response; correspond; weighted; average; values; surrounding; subtracting; create; difference; file; separately; transmitted; stored; original; reconstructed; preliminary; received; adding; filling; accomplished; solving; laplace; equation; multi-grid; contour; coding; techniques; described; method; processing; plurality; images; selecting; respective; approach; compressing; according; transmitting; correspondence; indication; compression technique; value equal; edge array; filled edge; image array; edge pixel; image compression; /382/
Citation Formats
Fu, Chi-Yung, and Petrich, Loren I. Image compression technique. United States: N. p., 1997.
Web.
Fu, Chi-Yung, & Petrich, Loren I. Image compression technique. United States.
Fu, Chi-Yung, and Petrich, Loren I. Wed .
"Image compression technique". United States. https://www.osti.gov/servlets/purl/870885.
@article{osti_870885,
title = {Image compression technique},
author = {Fu, Chi-Yung and Petrich, Loren I},
abstractNote = {An image is compressed by identifying edge pixels of the image; creating a filled edge array of pixels each of the pixels in the filled edge array which corresponds to an edge pixel having a value equal to the value of a pixel of the image array selected in response to the edge pixel, and each of the pixels in the filled edge array which does not correspond to an edge pixel having a value which is a weighted average of the values of surrounding pixels in the filled edge array which do correspond to edge pixels; and subtracting the filled edge array from the image array to create a difference array. The edge file and the difference array are then separately compressed and transmitted or stored. The original image is later reconstructed by creating a preliminary array in response to the received edge file, and adding the preliminary array to the received difference array. Filling is accomplished by solving Laplace's equation using a multi-grid technique. Contour and difference file coding techniques also are described. The techniques can be used in a method for processing a plurality of images by selecting a respective compression approach for each image, compressing each of the images according to the compression approach selected, and transmitting each of the images as compressed, in correspondence with an indication of the approach selected for the image.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 00:00:00 EST 1997},
month = {Wed Jan 01 00:00:00 EST 1997}
}
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