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Proceedings Paper

Progressive analysis-based perceptually transparent coder for still images
Author(s): V. Ralph Algazi; Gary E. Ford; Robert R. Estes Jr.; Adel I. El-Fallah
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Paper Abstract

The encoding of images at high quality is important in a number of applications. We have developed an approach to coding that produces no visible degradation and that we denote as perceptually transparent. Such a technique achieves a modest compression, but still significantly higher than error free codes. Maintaining image quality is not important in the early stages of a progressive scheme, when only a reduced resolution preview is needed. In this paper, we describe a new method for the progressive transmission of high quality still images, that efficiently uses the lower resolution images in the encoding process. Analysis based interpolation is used to estimate the higher resolution image, and reduces the incremental information transmitted at each step. This methodology for high quality image compression is also aimed at obtaining a compressed image of higher perceived quality than the original.

Paper Details

Date Published: 16 February 1996
PDF: 12 pages
Proc. SPIE 2663, Very High Resolution and Quality Imaging, (16 February 1996); doi: 10.1117/12.233029
Show Author Affiliations
V. Ralph Algazi, Univ. of California/Davis (United States)
Gary E. Ford, Univ. of California/Davis (United States)
Robert R. Estes Jr., Univ. of California/Davis (United States)
Adel I. El-Fallah, Univ. of California/Davis (United States)

Published in SPIE Proceedings Vol. 2663:
Very High Resolution and Quality Imaging
V. Ralph Algazi; Sadayasu Ono; Andrew G. Tescher, Editor(s)

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