Image compression by discrete cosine transformation

Belkhamza, Nour Eddine and Benblidia, Nadjia and Ali Chekima, (1998) Image compression by discrete cosine transformation. In: Intelligent Systems in Design and Manufacturing, 2-4 November 1998, Boston, MA..

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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 (KL) 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 8×8 sub-blocks then a quantization and an entropy coding are used.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Coding, Data compression, DCT transform, Quantization, Algorithms, Cosine transforms, Discrete fourier transforms, Image coding, Image quality, Discrete cosine transforms (DCT), Vector quantization
Subjects: ?? TK5101-6720 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 31 Jan 2012 06:19
Last Modified: 10 Sep 2014 03:38
URI: http://eprints.ums.edu.my/id/eprint/3408

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