AJAS Cover
Frequency: Continuous
ISSN: 1546-9239 (Print)
ISSN: 1554-3641 (Online)
Research Article Open Access

Image Compression and Reconstruction using Cubic Spline Interpolation Technique

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

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.

American Journal of Applied Sciences
Volume 5 No. 11, 2008, 1562-1565

DOI: https://doi.org/10.3844/ajassp.2008.1562.1565

Submitted On: 14 July 2007 Published On: 30 November 2008

How to Cite: Muthaiah, R., NeelaKantan, K., Sharma, V. & Arora, A. (2008). Image Compression and Reconstruction using Cubic Spline Interpolation Technique. American Journal of Applied Sciences, 5(11), 1562-1565. https://doi.org/10.3844/ajassp.2008.1562.1565

Open AccessCopyright: © 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.

  • 3,412 Views
  • 4,184 Downloads
  • 5 Citations

Download

Keywords

  • Random pixel selection
  • cubic-spline interpolation
  • transmission threshold
  • gray levels
  • runge phenomenon