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Math. Comput. Appl. 2003, 8(2), 191-200; doi:10.3390/mca8020191

Adaptive GIS Image Compression and Restoration Using Neural Networks

University of Bahrain, College of Information Technology, Department of Computer Science, Kingdom of Bahrain
Published: 1 August 2003
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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 Adaptive image compression; restoration; neural network; GIS
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Al-Bastaki, Y.A. Adaptive GIS Image Compression and Restoration Using Neural Networks. Math. Comput. Appl. 2003, 8, 191-200.

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Math. Comput. Appl. EISSN 2297-8747 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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