Noise estimation algorithm - the algorithm used to estimate noise. Following modes supported:
Advanced - configure algorithm details.
Write noise estimates for each frame into file - path to log file.
Configure algorithm details: Block-Based
Block size - The parameter influencing on speed of work and accuracy of an estimation. The increase of this parameter reduces accuracy and reduces time of performance. For video with small homogeneous areas it is recommended to use smaller values.
Search step - The parameter influencing on speed of work and stability of an estimation. Great values increase speed of work and reduce stability of an estimation.
Rate - The parameter influencing on reliability and stability of an estimation. Great values are reasonable for using for video with the big homogeneous areas.
Margin - The size of unused edges of the image.
Brightness border - The parameter influencing reliability of an estimation. For video visually strongly polluted it is recommended to increase this parameter.
Configure algorithm details: Spatio-Temporal Gradients
Evaluation stability - The parameter influencing on stability of an estimation. The increase of this parameter increases stability, but reduces accuracy of an estimation.
Brightness border - The parameter influencing on reliability of an estimation. For video visually strongly polluted it is recommended to increase this parameter.
LoadVirtualDubPlugin("...\VirtualDub\plugins\MSUNoiseEstimator.vdf","MSU_Noise_Estimator", 0)
clip=AVISource("...\clip_input.avi", false, "RGB24")
clip.ConvertToRGB32.MSU_Noise_Estimator("C:\log.csv", 0)
| ¹ | Description | Allowed values |
| 0 | File | Path to log file |
| 1 | Algorithm |
0 - MAD 1 - Block-Based 2 - Spatio-Temporal Gradients 3 - All algorithms |