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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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)
Keyword: Coding, Data compression, DCT transform, Quantization, Algorithms, Cosine transforms, Discrete fourier transforms, Image coding, Image quality, Discrete cosine transforms (DCT), Vector quantization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
Department: SCHOOL > School of Engineering and Information Technology
Depositing User: ADMIN ADMIN
Date Deposited: 31 Jan 2012 14:19
Last Modified: 10 Sep 2014 11:38

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