Image compression by discrete cosine transformation

Nour-Eddine Belkhamza; Ali Chekima; Nadjia Benblidia

doi:10.1117/12.326925

9 October 1998 Image compression by discrete cosine transformation

Nour-Eddine Belkhamza, Ali Chekima, Nadjia Benblidia

Proceedings Volume 3517, Intelligent Systems in Design and Manufacturing; (1998) https://doi.org/10.1117/12.326925
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download Citation

Nour-Eddine Belkhamza, Ali Chekima, and Nadjia Benblidia "Image compression by discrete cosine transformation", Proc. SPIE 3517, Intelligent Systems in Design and Manufacturing, (9 October 1998); https://doi.org/10.1117/12.326925

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