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Proceedings Paper

Image compression by discrete cosine transformation
Author(s): Nour-Eddine Belkhamza; Ali Chekima; Nadjia Benblidia
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Paper Abstract

The discrete cosine transform (DCT) is now well recognized as one of the most important technique in image data compression. Among the class of transforms possessing fast computational algorithms, the cosine transform has a superior energy compaction property. Due to its simple implementation scheme, the DCT is widely used as a substitute to the optimal Karhunen Loeve transform. In this paper, the discrete cosine transform is presented and an algorithm for its implementation is developed. The picture is firstly transform coded using 8 X 8 sub-blocks then a quantization and an entropy coding are used.

Paper Details

Date Published: 9 October 1998
PDF: 8 pages
Proc. SPIE 3517, Intelligent Systems in Design and Manufacturing, (9 October 1998); doi: 10.1117/12.326925
Show Author Affiliations
Nour-Eddine Belkhamza, Univ. Malaysia Sabah (Malaysia)
Ali Chekima, Univ. Malaysia Sabah (Malaysia)
Nadjia Benblidia, Univ. de Blida (Algeria)

Published in SPIE Proceedings Vol. 3517:
Intelligent Systems in Design and Manufacturing
Bhaskaran Gopalakrishnan; San Murugesan, Editor(s)

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