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SMPTE Journal ( Volume: 102, Issue: 5, May 1993)
[ACTIVE]

Digital Image Compression Based on Visual Perception and Scene Properties

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Journal Article
Content Type
Original Research
Abbreviated Title
SMPTE J
Volume
102, No. 5, pp. 392–397
Abstract
Digital compression techniques have made impressive progress in recent years. Frequently, a reader of a paper on compression is left with the impression that one is getting something for nothing; however, compression can only be achieved by leaving out unnecessary information about the image. A compression ratio of 20:1 simply means that 95% of the information in the original image has been eliminated. There are only two types of information that can be removed without seeing degradation in image quality: information that can be accurately predicted or information that the human visual system cannot see. This article will discuss present compression techniques in terms of these two factors and show how even further compression can be obtained by developing a complete understanding of scene properties and those of visual perception. From an analysis based on present knowledge of visual perception and scene statistics, compression ratios in excess of 50:1 should be achievable without perceptible degradation.
Publication Date
1993-05-01
DOI
10.5594/J15912
ISSN
Print: 0036-1682
Link
https://doi.org/10.5594/J15912
Author(s)
William E. GlennFlorida Atlantic University, Communications Technology Center, Boca Raton, FL 33431
Copyright
© 1993 Society of Motion Picture and Television Engineers, Inc.

Bibliographic Reference(s)

  • 1. Rabbani M. Jones P. W. , “Digital Image Compression Techniques,” SPIE , TT 7, 1991 . EXTERNAL
  • 2. Ginsburg A. P. , “Visual Information Processing Based on Spatial Filters Constrained by Biological Data,” Air Force Aerospace Medical Research Lab Tech Report 1978 : AMRL-TR-78-129. EXTERNAL
  • 3. Billock V. A. Harding T. H. , “The Number and Tuning of Channels Responsible for the Independent Detection of Temporal Modulation,” ARVO, Investigative Ophthalmology & Visual Science, Annual Meeting Abstracts , 32 : 840 , March 15, 1991 . EXTERNAL
  • 4. Campbell F. W. Kulikowski J. J. , “Orientational Selectivity of the Human Visual System,” J. Physical. (London) , 187 : 437 – 445 , 1966 . EXTERNAL
  • 5. Phillips G. C. Wilson H. R. , “Orientation Bandwidths of Spatial Mechanisms Measured by Masking,” J. Opt. Soc. Am. All : 226 – 232 , Feb. 1984 . EXTERNAL
  • 6. Blakemore C. Campbell F. W. , “On the Existence of Neurons in the Human Visual System Selectively Sensitive to the Orientation and Size of Retinal Images,” J. Physical. , 203 : 237 – 260 , 1969 . EXTERNAL
  • 7. Glenn W. E. Glenn K. G. Bastian C. J. , “Imaging System Design Based on Psychophysical Data,” SID , 2611 : 71 – 78 , 1985 . EXTERNAL
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William E. Glenn; Digital Image Compression Based on Visual Perception and Scene Properties, SMPTE Journal ( Volume: 102, Issue: 5, May 1993); SMPTE, 1993. Available at https://doi.org/10.5594/J15912
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William E. Glenn; Digital Image Compression Based on Visual Perception and Scene Properties, SMPTE Journal ( Volume: 102, Issue: 5, May 1993); SMPTE, 1993. Available at https://doi.org/10.5594/J15912

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William E. Glenn; Digital Image Compression Based on Visual Perception and Scene Properties, SMPTE Journal ( Volume: 102, Issue: 5, May 1993); SMPTE, 1993. Available at https://doi.org/10.5594/J15912
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<span class="citation">William E. Glenn; <cite>Digital Image Compression Based on Visual Perception and Scene Properties</cite>, SMPTE Journal ( Volume: 102, Issue: 5, May 1993); SMPTE, 1993. Available at <a href="https://doi.org/10.5594/J15912" target="_blank" rel="noopener">https://doi.org/10.5594/J15912</a></span>

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William E. Glenn; Digital Image Compression Based on Visual Perception and Scene Properties, SMPTE Journal ( Volume: 102, Issue: 5, May 1993); SMPTE, 1993
doi: 10.5594/J15912
url: https://doi.org/10.5594/J15912
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<li>
William E. Glenn; <cite id="bib-10-5594-j15912">Digital Image Compression Based on Visual Perception and Scene Properties</cite>, SMPTE Journal ( Volume: 102, Issue: 5, May 1993); SMPTE, 1993
<span class="doi">10.5594/J15912</span>
</li>

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