Evolution of the discrete cosine transform using genetic programming

Simple item page
dc.contributor.authorCui, Xiang Biao
dc.contributor.authorJohnson, Martin
dc.date.accessioned2013-05-08T03:51:12Z
dc.date.available2013-05-08T03:51:12Z
dc.date.issued2002
dc.description.abstractCompression of 2 dimensional data is important for the efficient transmission, storage and manipulation of Images. The most common technique used for lossy image compression relies on fast application of the Discrete Cosine Transform (DCT). The cosine transform has been heavily researched and many efficient methods have been determined and successfully applied in practice; this paper presents a novel method for evolving a DCT algorithm using genetic programming. We show that it is possible to evolve a very close approximation to a 4 point transform. In theory, an 8 point transform could also be evolved using the same technique.en
dc.identifier.citationCui, X.B., Johnson, M. (2002), Evolution of the discrete cosine transform using genetic programming, Research Letters in the Information and Mathematical Sciences, 3, 117-125en
dc.identifier.issn1175-2777
dc.identifier.urihttp://hdl.handle.net/10179/4363
dc.language.isoenen
dc.publisherMassey Universityen
dc.subjectDiscrete cosine transform (DCT)en
dc.subjectComputer programmingen
dc.titleEvolution of the discrete cosine transform using genetic programmingen
dc.typeArticleen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Evolution_of_the_Discrete_Cosine_Transform_Using_Genetic_Programming.pdf
Size:
1.19 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Research Letters in the Information and Mathematical Sciences