WAVELET APPLICATION IN COMPRESSION OF A REMOTE SENSED IMAGE
- DOI
- 10.2991/rsete.2013.160How to use a DOI?
- Keywords
- Wavelet, Bandwidth, Classifier, Lossless, Lossy, Quantized
- Abstract
Present scenario gives importance to precision image representing information about remote sensing, medicine, seismic etc. which are more importance to decision makers and researchers. These precision data are of very high resolution in nature in order to give optimal information which in turn occupies higher level of disk space. The main practical problem in transmitting these information are that primarily it requires a higher bandwidth, greater time involved in reception etc. There are numerous data compression algorithms but the primary concern is that the compression should be Lossless before and after reception. This paper employs the mathematical tool ‘Wavelet’ for the precision data compression and decompression. The advantage of compression permits the decision maker to process and send back after modifications, in the base image data. Wavelets find a greater application in obtaining lossless compression technique. Wavelet decomposes the data into various frequency components that helps to study and analyze each component with a resolution matched to its scale.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - R. Balasubramanian AU - S.S. Ramakrishnan PY - 2013/08 DA - 2013/08 TI - WAVELET APPLICATION IN COMPRESSION OF A REMOTE SENSED IMAGE BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 659 EP - 662 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.160 DO - 10.2991/rsete.2013.160 ID - Balasubramanian2013/08 ER -