Design of Multiplier for Medical Image Compression Using Urdhava Tiryakbhyam Sutra

Compressing the medical images is one of the challenging areas in healthcare industry which calls for an effective design of the compression algorithms. The conventional compression algorithms used on medical images doesn’t offer enhanced computational capabilities with respect to faster processing...

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Veröffentlicht in:International journal of electrical and computer engineering (Malacca, Malacca) Jg. 6; H. 3; S. 1140
Hauptverfasser: Suma, Suma, Sridhar, V.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Yogyakarta IAES Institute of Advanced Engineering and Science 01.06.2016
ISSN:2088-8708, 2088-8708
Online-Zugang:Volltext
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Zusammenfassung:Compressing the medical images is one of the challenging areas in healthcare industry which calls for an effective design of the compression algorithms. The conventional compression algorithms used on medical images doesn’t offer enhanced computational capabilities with respect to faster processing speed and is more dependent on hardware resources. The present paper has identified the potential usage of Vedic mathematics in the form of Urdhava Tiryakbhyam sutra, which can be used for designing an efficient multiplier that can be used for enhancing the capabilities of the existing processor to generate enhance compression experience. The design of the proposed system is discussed with respect to 5 significant algorithms and the outcome of the proposed study was testified with heterogeneous samples of medical image to find that proposed system offers approximately 57% of the reduction in size without any significant loss of data.
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ISSN:2088-8708
2088-8708
DOI:10.11591/ijece.v6i3.9031