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Title: Image compression/decompression based on mathematical transform, reduction/expansion, and image sharpening

Abstract

An image represented in a first image array of pixels is first decimated in two dimensions before being compressed by a predefined compression algorithm such as JPEG. Another possible predefined compression algorithm can involve a wavelet technique. The compressed, reduced image is then transmitted over the limited bandwidth transmission medium, and the transmitted image is decompressed using an algorithm which is an inverse of the predefined compression algorithm (such as reverse JPEG). The decompressed, reduced image is then interpolated back to its original array size. Edges (contours) in the image are then sharpened to enhance the perceptual quality of the reconstructed image. Specific sharpening techniques are described.

Inventors:
 [1];  [2]
  1. San Francisco, CA
  2. Livermore, CA
Issue Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
OSTI Identifier:
871301
Patent Number(s):
5703965
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; decompression; based; mathematical; transform; reduction; expansion; sharpening; represented; array; pixels; decimated; dimensions; compressed; predefined; algorithm; jpeg; involve; wavelet; technique; reduced; transmitted; limited; bandwidth; transmission; medium; decompressed; inverse; reverse; interpolated; original; size; edges; contours; sharpened; enhance; perceptual; quality; reconstructed; specific; techniques; described; transmission medium; limited bandwidth; reconstructed image; image array; image compression; /382/

Citation Formats

Fu, Chi-Yung, and Petrich, Loren I. Image compression/decompression based on mathematical transform, reduction/expansion, and image sharpening. United States: N. p., 1997. Web.
Fu, Chi-Yung, & Petrich, Loren I. Image compression/decompression based on mathematical transform, reduction/expansion, and image sharpening. United States.
Fu, Chi-Yung, and Petrich, Loren I. Wed . "Image compression/decompression based on mathematical transform, reduction/expansion, and image sharpening". United States. https://www.osti.gov/servlets/purl/871301.
@article{osti_871301,
title = {Image compression/decompression based on mathematical transform, reduction/expansion, and image sharpening},
author = {Fu, Chi-Yung and Petrich, Loren I},
abstractNote = {An image represented in a first image array of pixels is first decimated in two dimensions before being compressed by a predefined compression algorithm such as JPEG. Another possible predefined compression algorithm can involve a wavelet technique. The compressed, reduced image is then transmitted over the limited bandwidth transmission medium, and the transmitted image is decompressed using an algorithm which is an inverse of the predefined compression algorithm (such as reverse JPEG). The decompressed, reduced image is then interpolated back to its original array size. Edges (contours) in the image are then sharpened to enhance the perceptual quality of the reconstructed image. Specific sharpening techniques are described.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1997},
month = {1}
}

Works referenced in this record:

Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images
journal, December 1993

  • Yang, Yongyi; Galatsanos, N. P.; Katsaggelos, A. K.
  • IEEE Transactions on Circuits and Systems for Video Technology, Vol. 3, Issue 6, p. 421-432
  • https://doi.org/10.1109/76.260198