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Information Technology Journal
  Year: 2006 | Volume: 5 | Issue: 1 | Page No.: 88-93
DOI: 10.3923/itj.2006.88.93
 
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GIS Image Compression and Restoration: A Neural Network Approach

Yousif A.Latif Al-Bastaki

Abstract:
Resolution of images for Geographical Information System (GIS) was usually desired to be as high as possible. The higher resolution of the image is larger its data size. The large data size of a high resolution image brings difficulties in dealing with it. Therefore, image compression is going to be required. But high compression rate cause of some distortion and losses. Restoration was a process by which an image suffering some form of distortion or degradation can be recovered to its original form. This research describes a framework for GIS image compression, decompression and restoration using neural networks.
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How to cite this article:

Yousif A.Latif Al-Bastaki , 2006. GIS Image Compression and Restoration: A Neural Network Approach. Information Technology Journal, 5: 88-93.

DOI: 10.3923/itj.2006.88.93

URL: https://scialert.net/abstract/?doi=itj.2006.88.93

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