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Proceedings Paper

Error free and transparent coding of images using approximations by splines
Author(s): V. Ralph Algazi; Eric Maurincomme; Gary E. Ford
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Paper Abstract

We have undertaken a study of techniques for the perceptually transparent coding of very high quality and resolution images. These techniques should be free of any of the visual artifacts due to transform coders, DPCM coders or vector quantization, so that post processing to improve image quality or resolution can be performed. The approach starts with a decomposition of an image into a spline approximation, based on a subsampled array of pixels. The spline approximation is then subtracted from the original and the resulting remainder is quantized non-uniformly and with as few levels as possible while still insuring perceptual transparency. This differential quantization takes advantage of properties of human vision. The coarsely quantized remainder is then encoded in an error free fashion. Several techniques are being considered for this error free coding. Since the only errors are introduced in the quantization of the remainder, the errors are not perceptible and there is no structure to them.

Paper Details

Date Published: 1 June 1991
PDF: 7 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45396
Show Author Affiliations
V. Ralph Algazi, Univ. of California/Davis (United States)
Eric Maurincomme, Univ. of California/Davis (France)
Gary E. Ford, Univ. of California/Davis (United States)


Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead, Editor(s)

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