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Title: 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 » 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.

Inventors:
 [1];  [2]
+ Show Inventor Affiliations
  1. San Francisco, CA
  2. 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
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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.
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Fu, Chi-Yung, & Petrich, Loren I. Image compression technique. United States.
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Fu, Chi-Yung, and Petrich, Loren I. Wed . "Image compression technique". United States. https://www.osti.gov/servlets/purl/870885.
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@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 = {1997},
month = {1}
}
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Works referenced in this record:

Image coding using wavelet transform
journal, April 1992

The JPEG still picture compression standard
journal, January 1992

Recent results in high-compression image coding (Invited Papaer)
journal, November 1987

Adaptive DCT coding of images using entropy-constrained trellis coded quantization
conference, January 1993

A spline-like scheme for least-squares bilinear interpolations of images
conference, January 1993

Low-cost still-picture compression chip set
conference, April 1992

  • Razavi, Abbas; Shenberg, Isaac; Retter, Rafi
  • SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, SPIE Proceedings
  • https://doi.org/10.1117/12.58421

Hierarchical edge detector using the first- and second-derivative operators
conference, November 1992

The C-cube CL550-JPEG image compression processor
conference, January 1991

Sketch based coding of grey level images
journal, July 1988

Image compression through wavelet transform coding
journal, March 1992

Adaptive DCT image coding based on a three-component image model
conference, January 1992

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