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An evolutionary approach to image co...

ProQuest Information and Learning Co.

An evolutionary approach to image compression in the discrete cosine transform domain.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	An evolutionary approach to image compression in the discrete cosine transform domain./
Author:	Banham, Benjamin E.
Description:	1 online resource (55 pages)
Notes:	Source: Masters Abstracts International, Volume: 47-01, page: 3980.
Contained By:	Masters Abstracts International47-01.
Subject:	Computer science. -
Online resource:	click for full text (PQDT)
ISBN:	9780549653516

An evolutionary approach to image compression in the discrete cosine transform domain.
Banham, Benjamin E.

An evolutionary approach to image compression in the discrete cosine transform domain. - 1 online resource (55 pages)

Source: Masters Abstracts International, Volume: 47-01, page: 3980.

Thesis (M.S.)--Utah State University, 2008.

Includes bibliographical references

This paper examines the application of genetic programming to image compression while working in the frequency domain. Several methods utilized by JPEG encoding are applied to the image before utilizing a genetic programming system. Specifically, the discrete cosine transform (DCT) is applied to the original image, followed by the zig-zag scanning of DCT coefficients. The genetic programming system is finally applied to the one-dimensional array resulting from the zig-zag scan. The research takes an existing genetic programming system developed for the spatial domain and develops DCT domain functionality. The results from the DCT domain-based genetic programming system are compared with those from the spatial domain-based system, and show improvements to the image quality with a reduction up to half of the evolved image's average error. The results show that working in the frequency domain has advantages over the spatial domain. Several methods to exploit these advantages are proposed and evaluated.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780549653516Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

An evolutionary approach to image compression in the discrete cosine transform domain.
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100 1 $a Banham, Benjamin E. $3 1189455
245 1 3 $a An evolutionary approach to image compression in the discrete cosine transform domain.
264 0 $c 2008
300 $a 1 online resource (55 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Masters Abstracts International, Volume: 47-01, page: 3980.
500 $a Adviser: Xiaojun Qi.
502 $a Thesis (M.S.)--Utah State University, 2008.
504 $a Includes bibliographical references
520 $a This paper examines the application of genetic programming to image compression while working in the frequency domain. Several methods utilized by JPEG encoding are applied to the image before utilizing a genetic programming system. Specifically, the discrete cosine transform (DCT) is applied to the original image, followed by the zig-zag scanning of DCT coefficients. The genetic programming system is finally applied to the one-dimensional array resulting from the zig-zag scan. The research takes an existing genetic programming system developed for the spatial domain and develops DCT domain functionality. The results from the DCT domain-based genetic programming system are compared with those from the spatial domain-based system, and show improvements to the image quality with a reduction up to half of the evolved image's average error. The results show that working in the frequency domain has advantages over the spatial domain. Several methods to exploit these advantages are proposed and evaluated.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Utah State University. $b Computer Science. $3 1179456
773 0 $t Masters Abstracts International $g 47-01.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1454308 $z click for full text (PQDT)

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