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Title: Selective document image data compression technique

Abstract

A method of storing information from filled-in form-documents comprises extracting the unique user information in the foreground from the document form information in the background. The contrast of the pixels is enhanced by a gamma correction on an image array, and then the color value of each of pixel is enhanced. The color pixels lying on edges of an image are converted to black and an adjacent pixel is converted to white. The distance between black pixels and other pixels in the array is determined, and a filled-edge array of pixels is created. User information is then converted to a two-color format by creating a first two-color image of the scanned image by converting all pixels darker than a threshold color value to black. All the pixels that are lighter than the threshold color value to white. Then a second two-color image of the filled-edge file is generated by converting all pixels darker than a second threshold value to black and all pixels lighter than the second threshold color value to white. The first two-color image and the second two-color image are then combined and filtered to smooth the edges of the image. The image may be compressed with amore » unique Huffman coding table for that image. The image file is also decimated to create a decimated-image file which can later be interpolated back to produce a reconstructed image file using a bilinear interpolation kernel.--(235 words)« less

Inventors:
 [1];  [2]
  1. (29 Cameo Way, San Francisco, CA 94131)
  2. (1674 Cordoba St., #4, Livermore, CA 94550)
Issue Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
OSTI Identifier:
871566
Patent Number(s):
5754697
Assignee:
Fu, Chi-Yung (29 Cameo Way, San Francisco, CA 94131);Petrich, Loren I. (1674 Cordoba St., #4, Livermore, CA 94550) LLNL
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
selective; document; image; data; compression; technique; method; storing; information; filled-in; form-documents; comprises; extracting; unique; user; foreground; form; background; contrast; pixels; enhanced; gamma; correction; array; color; value; pixel; lying; edges; converted; black; adjacent; white; distance; determined; filled-edge; created; two-color; format; creating; scanned; converting; darker; threshold; lighter; file; generated; combined; filtered; smooth; compressed; huffman; coding; table; decimated; create; decimated-image; interpolated; produce; reconstructed; bilinear; interpolation; kernel; 235; words; compression technique; data compression; threshold value; image data; user information; reconstructed image; edge array; image array; color value; scanned image; storing information; /382/358/

Citation Formats

Fu, Chi-Yung, and Petrich, Loren I. Selective document image data compression technique. United States: N. p., 1998. Web.
Fu, Chi-Yung, & Petrich, Loren I. Selective document image data compression technique. United States.
Fu, Chi-Yung, and Petrich, Loren I. Thu . "Selective document image data compression technique". United States. https://www.osti.gov/servlets/purl/871566.
@article{osti_871566,
title = {Selective document image data compression technique},
author = {Fu, Chi-Yung and Petrich, Loren I.},
abstractNote = {A method of storing information from filled-in form-documents comprises extracting the unique user information in the foreground from the document form information in the background. The contrast of the pixels is enhanced by a gamma correction on an image array, and then the color value of each of pixel is enhanced. The color pixels lying on edges of an image are converted to black and an adjacent pixel is converted to white. The distance between black pixels and other pixels in the array is determined, and a filled-edge array of pixels is created. User information is then converted to a two-color format by creating a first two-color image of the scanned image by converting all pixels darker than a threshold color value to black. All the pixels that are lighter than the threshold color value to white. Then a second two-color image of the filled-edge file is generated by converting all pixels darker than a second threshold value to black and all pixels lighter than the second threshold color value to white. The first two-color image and the second two-color image are then combined and filtered to smooth the edges of the image. The image may be compressed with a unique Huffman coding table for that image. The image file is also decimated to create a decimated-image file which can later be interpolated back to produce a reconstructed image file using a bilinear interpolation kernel.--(235 words)},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1998},
month = {1}
}

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