American Journal of Applied Sciences

Image Compression and Reconstruction using Cubic Spline Interpolation Technique

R. Muthaiah, K. NeelaKantan, Vidur Sharma and Amit Arora

DOI : 10.3844/ajassp.2008.1562.1565

American Journal of Applied Sciences

Volume 5, Issue 11

Pages 1562-1565

Abstract

A new dimension of image compression using random pixels of irregular sampling and image reconstruction using cubic-spline interpolation techniques proposed in this paper. It also covers the wide field of multimedia communication concerned with multimedia messaging (MMS) and image transfer through mobile phones and tried to find a mechanism to transfer images with minimum bandwidth requirement. This method would provide a better efficiency both in pixel reconstruction and color reproduction. The discussion covers theoretical techniques of random pixel selection, transfer and implementation of efficient reconstruction with cubic spline interpolation.

Copyright

© 2008 R. Muthaiah, K. NeelaKantan, Vidur Sharma and Amit Arora. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.