Multi Spectral Band Selective Coding for Medical Image Compression
Multi Spectral Band Selective Coding for Medical Image Compression
Article PDF

Keywords

multi-spectral image coding
medical image compression
correlative band selection coding

How to Cite

S. Jagadeesh, & Dr. E. Nagabhooshanam. (2015). Multi Spectral Band Selective Coding for Medical Image Compression. Global Journal of Computer Science and Technology, 15(F3), 21–28. Retrieved from https://gjcst.com/index.php/gjcst/article/view/1038

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
Article PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2015 Authors and Global Journals Private Limited