Multi Spectral Band Selective Coding for Medical Image Compression

S. Jagadeesh; Dr. E. Nagabhooshanam

Multi Spectral Band Selective Coding for Medical Image Compression

S. Jagadeesh * §

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Dr. E. Nagabhooshanam

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§ SSJ ENGINEERING COLLEGE, HYDERABAD-500075

Multi Spectral Band Selective Coding for Medical Image Compression

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Abstract

Medical image compression has recently evolved as an area of research for progressive transmission. The distance based medical diagnosis, demands for high quality imaging at faster data transfer rate. As the information’s are highly informative, each pixel information defines a sample observation. Hence the coding in medical diagnosis need to be of higher accuracy than conventional image coding. In the approach of image coding multi spectral coding is developed as new coding approach to achieve the objective of higher visualization accuracy. With this observation in this paper a multi spectral coding using multi wavelet transformation is developed. The multi spectral coding is improved by a band selective approach using inter band correlation factor. The evaluation factors for such a coding technique are observed to be improved over conventional multi-spectral coding.

References

19 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

S. Jagadeesh, Dr. E. Nagabhooshanam. 2015. "Multi Spectral Band Selective Coding for Medical Image Compression". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F3).

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GJCST Volume 15 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-F Classification I.4.0 I.4.1

Submission ReceivedDecember 12, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

August 21, 2015

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: S. Jagadeesh, Dr. E. Nagabhooshanam (PhD/Dr. count: 1)

View Count (all-time): 406

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Publish Date: 2015 01, Thu

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