Improving Quality Of Fractal Compressed Images

Ehsan Nadernejad, H. Hassanpour, M. Salarian

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper proposes a new quality improvement technique for fractal-based image compression techniques using diffusion equations. Fractal coding uses a contractive mapping scheme to represent an image. This process of contractive mapping causes artifacts and blocking effects in encoded images. This problem is severed when compression ratio is increased or there are high frequency regions in the image. Hence, to amulet the deficiency of fractal coding approaches in image compression, we propose using diffusion equations as a post processor. Diffusion equations are powerful tools for image enhancement. This technique has been examined on a variety of standard images. The obtained results indicate that the proposed method improves performance of fractal-based image compression techniques.
Original languageEnglish
Title of host publicationInternational Conference on Machine Vision, 2007
PublisherIEEE
Publication date2007
Pages56-61
ISBN (Print)978-1-4244-1624-0
ISBN (Electronic)978-1-4244-1625-7
DOIs
Publication statusPublished - 2007
Externally publishedYes
EventInternational Conference on Machine Vision (ICMV) - Islamabad, Pakistan
Duration: 28 Dec 200729 Dec 2007
http://icmv.mcs.edu.pk/ICMV2007/ICMV2007.htm

Conference

ConferenceInternational Conference on Machine Vision (ICMV)
CountryPakistan
CityIslamabad
Period28/12/200729/12/2007
Internet address

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