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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2003, 8(2), 191-200;

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
PDF [724 KB, uploaded 31 March 2016]


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

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