Abstract
A new robust image-filtering algorithm, which preserves small features and efficiently rejects intense multiplicative noise, is presented. The filter uses M-estimates (robust maximum-likelihood estimates) and R-estimates (rank estimates, which follow from the theory of rank hypothesis-testing criteria). A two-stage filter is proposed, which provides a good visual quality of the processed images and provides a better performance in terms of the rms error and signal-to-noise ratio than standard filters.
Original language | English |
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Pages (from-to) | 476-483 |
Number of pages | 8 |
Journal | Radiotekhnika i Elektronika |
Volume | 46 |
Issue number | 4 |
State | Published - 2001 |