Lossy compression of color images based on color spaces

S. Burak Böke, Banu Diri, Zeyneb Kurt Yavuz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this study, the effects of different color spaces on compression performance, when lossy compression is applied to a color image, were discussed. RGB, HSV, YIQ, CMYK and YCbCr color spaces were used in the system. DCT was applied to provide energy loss or k-means clustering was applied to reduce the number of colors to each image in different color spaces. Those two lossy compression approaches were followed by a lossless compression approach, called Entropy coding. Finally experimental results were given for comparison.

Translated title of the contributionLossy compression of color images based on color spaces
Original languageTurkish
Title of host publicationSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages609-612
Number of pages4
ISBN (Print)9781424496716
DOIs
Publication statusPublished - 22 Apr 2010
Externally publishedYes
Event18th IEEE Signal Processing and Communications Applications Conference, SIU 2010 - Diyarbakir, Turkey
Duration: 22 Apr 201024 Apr 2010

Publication series

NameSIU 2010 - IEEE 18th Signal Processing and Communications Applications Conference

Conference

Conference18th IEEE Signal Processing and Communications Applications Conference, SIU 2010
Country/TerritoryTurkey
CityDiyarbakir
Period22/04/1024/04/10

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