Name
Title | ||
|---|---|---|
Application of detector precision characteristics for the denoising of biological micrographs in the wavelet domain. |
Abstract | ||
|---|---|---|
•We propose a new wavelet-domain denoising algorithm for biological micrographs.•We compute noise characteristics directly from image acquisition parameters.•Algorithm exploits intra- and inter-scale correlation of wavelet coefficients.•Algorithm outperforms others: AdaptShrink, BivarShrink, and OraclShrink. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.bspc.2015.02.010 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Microscope imaging,Biomedical imaging,Acquisition noise modeling,Wavelet image denoising,Adaptive soft thresholding | Noise reduction,Computer vision,Pattern recognition,Non-local means,Medical imaging,Artificial intelligence,Microscopy,Video denoising,Detector,Mathematics,Wavelet,Computation | Journal |
Volume | ISSN | Citations |
19 | 1746-8094 | 2 |
PageRank | References | Authors |
0.41 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tytus Bernas | 1 | 35 | 2.95 |
| Roman Starosolski | 2 | 39 | 7.30 |
| Robert Wójcicki | 3 | 10 | 1.68 |