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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Volden, E. Giraudon, G. Berthod, M. |
| Copyright Year | 1995 |
| Description | Author affiliation: Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France (Volden, E.; Giraudon, G.; Berthod, M.) |
| Abstract | The authors use the information theory concept of rate of information transmission to define different models of image redundancy. First they apply information theory to a simple model considering an image as a set of isolated pixels. Then, in order not to neglect a pixel's spatial context, they consider the grey level vectors of cliques. They introduce a distance in the grey level space to solve the problem of insufficient statistics for small images. Their third model takes into account the neighbourhood of a pixel by introducing a Markov random field. They have to determine some parameters of the MRF in order to obtain sufficient statistics from standard satellite images, and they propose a measure based on a generalized Ising model. Finally, results for the proposed definitions are presented for some synthetic and a large variety of SPOT XS1, XS2 and XS3 image triples. |
| Starting Page | 2148 |
| Ending Page | 2150 |
| File Size | 375305 |
| Page Count | 3 |
| File Format | |
| ISBN | 0780325672 |
| DOI | 10.1109/IGARSS.1995.524132 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-07-10 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pixel Information theory Mutual information Stochastic processes Statistics Probability distribution Histograms Measurement standards Satellites Computer vision |
| Content Type | Text |
| Resource Type | Article |
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