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Proceedings Paper

Adaptive transform coding of images using approximate trigonometric expansions
Author(s): Qurban A. Memon; Takis Kasparis
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Paper Abstract

The objective behind transform coding is to transform a data array into a statistically uncorrelated set. The uneven distribution of energy in transform coefficients is exploited for compression purposes, with significant energies considered for further processing. Block transforms, particularly the discrete cosine transform, have been used in image-video coding. An approximate Fourier expansion (AFE) of non-periodic signals with theoretically uncorrelated coefficients has been previously proposed. Furthermore, the capabilities of an approximate cosine expansion (ACE) have been explored for purposes of image coding. In this paper, we apply an approximate trigonometric expansion to images and investigate the potential of adaptive coding using blocks of images. The variable length basis functions computed by varying a user-defined parameter of the expansion will be used for adaptive transform coding of images. For comparison purposes, the results are compared with discrete cosine transform (DCT). Computer simulation results also are presented.

Paper Details

Date Published: 17 January 1997
PDF: 10 pages
Proc. SPIE 2915, Video Techniques and Software for Full-Service Networks, (17 January 1997); doi: 10.1117/12.263396
Show Author Affiliations
Qurban A. Memon, Univ. of Central Florida (United States)
Takis Kasparis, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 2915:
Video Techniques and Software for Full-Service Networks
Andrew G. Tescher; Tzi-cker Chiueh, Editor(s)

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