| Abstract: | We have developed adaptive box-filtering algorithms to (1) remove random bit errors (pixel values with no relation to the image scene) and (2) smooth noisy data (pixels related to the image scene but with an additive or multiplicative component of noise). For both procedures, we use the standard deviation (??) of those pixels within a local box surrounding each pixel, hence they are adaptive filters. This technique effectively reduces speckle in radar images without eliminating fine details. -from Authors |
| Genre: | Article |
| ProdID: | 70016380 |
| Citation Author: | Eliason, E. M.; McEwen, A. S. |
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| Citation End Page: | 458 |
| Citation Issue: | 4 |
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| Citation Language: | English |
| Citation Larger Work Title: | Photogrammetric Engineering and Remote Sensing |
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| Citation Number Of Pages: | 6 |
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| Citation Search Results Text: | Adaptive box filters for removal of random noise from digital images; 1990; Article; Journal; Photogrammetric Engineering & Remote Sensing; Eliason, E. M.; McEwen, A. S. |
| Citation Start Page: | 453 |
| Citation Volume: | 56 |
| Citation Year: | 1990 |
| Type: | citation/reference |
| Text: | Adaptive box filters for removal of random noise from digital images; 1990; Article; Journal; Photogrammetric Engineering & Remote Sensing; Eliason, E. M.; McEwen, A. S. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Mon, 1 Jan 1990 00:00 -0600 |
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