Perceptually Transparent Coding of Still Images
Summary :
The encoding of high quality and super high definition images requires new approaches to the coding problem. The nature of such images and the applications in which they are used prohibits the introduction of perceptible degradation by the coding process. In this paper, we discuss techniques for the perceptually transparent coding of images. Although technically lossy methods, images encoded and reconstructed using these techniques appear identical to the original images. The reconstructed images can be postprocessed (e.g., enhanced via anisotropic filtering), due to the absence of structured errors, commonly introduced by conventional lossy methods. The compression, ratios obtained are substantially higher than those achieved using lossless means.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E75-B No.5 pp.340-348
- Publication Date
- 1992/05/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Video Coding and Its Applications)
- Category
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V. Ralph ALGAZI, Todd R. REED, Gary E. FORD, Eric MAURINCOMME, Iftekhar HUSSAIN, Ravindra POTHARLANKA, "Perceptually Transparent Coding of Still Images" in IEICE TRANSACTIONS on Communications,
vol. E75-B, no. 5, pp. 340-348, May 1992, doi: .
Abstract: The encoding of high quality and super high definition images requires new approaches to the coding problem. The nature of such images and the applications in which they are used prohibits the introduction of perceptible degradation by the coding process. In this paper, we discuss techniques for the perceptually transparent coding of images. Although technically lossy methods, images encoded and reconstructed using these techniques appear identical to the original images. The reconstructed images can be postprocessed (e.g., enhanced via anisotropic filtering), due to the absence of structured errors, commonly introduced by conventional lossy methods. The compression, ratios obtained are substantially higher than those achieved using lossless means.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e75-b_5_340/_p
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@ARTICLE{e75-b_5_340,
author={V. Ralph ALGAZI, Todd R. REED, Gary E. FORD, Eric MAURINCOMME, Iftekhar HUSSAIN, Ravindra POTHARLANKA, },
journal={IEICE TRANSACTIONS on Communications},
title={Perceptually Transparent Coding of Still Images},
year={1992},
volume={E75-B},
number={5},
pages={340-348},
abstract={The encoding of high quality and super high definition images requires new approaches to the coding problem. The nature of such images and the applications in which they are used prohibits the introduction of perceptible degradation by the coding process. In this paper, we discuss techniques for the perceptually transparent coding of images. Although technically lossy methods, images encoded and reconstructed using these techniques appear identical to the original images. The reconstructed images can be postprocessed (e.g., enhanced via anisotropic filtering), due to the absence of structured errors, commonly introduced by conventional lossy methods. The compression, ratios obtained are substantially higher than those achieved using lossless means.},
keywords={},
doi={},
ISSN={},
month={May},}
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TY - JOUR
TI - Perceptually Transparent Coding of Still Images
T2 - IEICE TRANSACTIONS on Communications
SP - 340
EP - 348
AU - V. Ralph ALGAZI
AU - Todd R. REED
AU - Gary E. FORD
AU - Eric MAURINCOMME
AU - Iftekhar HUSSAIN
AU - Ravindra POTHARLANKA
PY - 1992
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E75-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 1992
AB - The encoding of high quality and super high definition images requires new approaches to the coding problem. The nature of such images and the applications in which they are used prohibits the introduction of perceptible degradation by the coding process. In this paper, we discuss techniques for the perceptually transparent coding of images. Although technically lossy methods, images encoded and reconstructed using these techniques appear identical to the original images. The reconstructed images can be postprocessed (e.g., enhanced via anisotropic filtering), due to the absence of structured errors, commonly introduced by conventional lossy methods. The compression, ratios obtained are substantially higher than those achieved using lossless means.
ER -
English
