Name
Abstract | ||
|---|---|---|
Median filtering is among the most utilized tools for smoothing real-valued data, as it is robust, edge-preserving, value-preserving, and yet can be computed efficiently. For data living on the unit circle, such as phase data or orientation data, a filter with similar properties is desirable. For these data, there is no unique means to define a median; so we discuss various possibilities. The arc ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2017.2692779 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Complexity theory,Robustness,Optical interferometry,Smoothing methods,Image edge detection,Runtime,MATLAB | Computer vision,Data set,Median filter,Computer science,Filter (signal processing),Robustness (computer science),Median cut,Unit circle,Smoothing,Artificial intelligence,Optical flow | Journal |
Volume | Issue | ISSN |
40 | 3 | 0162-8828 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Storath | 1 | 138 | 12.69 |
| andreas weinmann | 2 | 138 | 12.81 |