Quality-based Spatial/Spectral Image Transformation
Remote sensing image plays a very important role for GIS services as one of its important data source. lts very large volume requirement may lead to latency during data transmission. Several alternative solutions are identified as the solution for the issue. This paper is intended to discuss the effect of image compression technique to allow the reduction of the storage and bandwidth requirement at the same time maintaining the quality of the compressed image. An experiment has been performed towards several multispectral images to foresee the effectiveness of the proposed method. The ongoing study shows promising result especially in terms of storage and image quality.
Image processing Image coding Image quality
Fikri Akbar Nanna Suryana Burairah Hussin
Faculty of Information Technology and Communication Universiti Teknikal Malaysia Melaka (UTeM) Melaka Malaysia
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
1249-1252
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）