Evolution of the discrete transform using genetic programming : a thesis presented in partial fulfilment of the requirements for the degree of Master in Computer Science at Massey University, Albany

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dc.contributor.authorCui, Xiangbiao
dc.date.accessioned2017-01-17T23:34:03Z
dc.date.available2017-01-17T23:34:03Z
dc.date.issued2001
dc.description.abstractImage compression is an important method in image transmission, storage and manipulation. There are many successful techniques which have been developed. Most of these methods are based on some type of rule based algorithm. The cosine transform plays a very important role in image compression. It is a standard transform used by the widely used JPEG standard. Through the use of genetic programming, we successfully evolved a programmatic cosine transform based on genetic programming. The cosine transform has been heavily researched and many efficient methods have been determined and successfully applied in practice. Here, we only suggest 'another' method to do the same work. Due to the limited power of our resources, we restricted our work to a 4 point cosine transform. As a result, an approximation to the transform is evolved by the genetic programming paradigm. In theory, the 8 point cosine transform can be evolved using a similar technique.en_US
dc.identifier.urihttp://hdl.handle.net/10179/10267
dc.language.isoenen_US
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectGenetic programming (Computer science)en_US
dc.subjectTransformations (Mathematics)en_US
dc.titleEvolution of the discrete transform using genetic programming : a thesis presented in partial fulfilment of the requirements for the degree of Master in Computer Science at Massey University, Albanyen_US
dc.typeThesisen_US
massey.contributor.authorCui, Xiangbiaoen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorMassey Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster in Computer Science (M. Sc.)en_US
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