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Multiscale Image Restoration Approach : Neural Network Based
| Content Provider | Semantic Scholar |
|---|---|
| Author | Castro, Ana Paula Abrantes De Silva, Juliana Corrêa Sanchez Da |
| Copyright Year | 2006 |
| Abstract | In practice, there is not a perfect imaging system, and thus many acquisition systems produce degraded images. Restoration techniques are applied to compensate system degradations such as motion blur, atmospheric turbulence, and optical diffraction (Kulkarni, 2001). The development of techniques for noise removal is very important for image–based measurement systems. The noise present in the images may significantly decrease the accuracy of the operations such as feature extraction and object recognition. Regarding this, Gaussian-like distribution noise is very often found in acquired data (Heijeden, 1994). |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://mtc-m18.sid.inpe.br/col/dpi.inpe.br/hermes2@1905/2006/10.20.19.57/doc/worcap6_AnaPaulaACastro.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
