Adaptive box filters for removal of random noise from digital images
Photogrammetric Engineering and Remote Sensing
By: E. M. Eliason and A. S. McEwen
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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
Suggested Citation
Eliason, E.M., McEwen, A.S., 1990, Adaptive box filters for removal of random noise from digital images: Photogrammetric Engineering and Remote Sensing, v. 56, no. 4, p. 453-458.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Adaptive box filters for removal of random noise from digital images |
| Series title | Photogrammetric Engineering and Remote Sensing |
| Volume | 56 |
| Issue | 4 |
| Year Published | 1990 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Photogrammetric Engineering and Remote Sensing |
| First page | 453 |
| Last page | 458 |