Adaptive GIS Image Compression and Restoration Using Neural Networks
University of Bahrain, College of Information Technology, Department of Computer Science, Kingdom of Bahrain
Math. Comput. Appl. 2003, 8(2), 191-200; https://doi.org/10.3390/mca8020191
Published: 1 August 2003
Abstract
This study aims to describe research into the field of GIS image compression, decompression and restoration. Geographical Information System (GIS) data comprises huge size into memory. For this purpose, it needs compression, which has high compression rate. But high compression rate cause of some distortion and losses. Restoration is a process by which an image suffering some form of distortion or degradation can be recovered to its original form. The proposed windows-based image compression and restoration was implemented using Delphi.
Keywords:
Adaptive image compression; restoration; neural network; GIS
Share and Cite
MDPI and ACS Style
Al-Bastaki, Y.A.L. Adaptive GIS Image Compression and Restoration Using Neural Networks. Math. Comput. Appl. 2003, 8, 191-200. https://doi.org/10.3390/mca8020191
AMA Style
Al-Bastaki YAL. Adaptive GIS Image Compression and Restoration Using Neural Networks. Mathematical and Computational Applications. 2003; 8(2):191-200. https://doi.org/10.3390/mca8020191
Chicago/Turabian StyleAl-Bastaki, Yousif A.Latif. 2003. "Adaptive GIS Image Compression and Restoration Using Neural Networks" Mathematical and Computational Applications 8, no. 2: 191-200. https://doi.org/10.3390/mca8020191
