NonLocalMeans class
Multiscale Non-Local Means (NLM) smoothing.
Contents
- Reference
Non-Local Means (NLM) is an excellent despeckling filter for ultrasound images. This GPU implementation is based on the article "Real-Time Nonlocal Means-Based Despeckling" by Breivik et al. 2017.
Base classes
- class ProcessObject
- Abstract base class for all process objects.
Public functions
- auto create(int filterSize, int searchSize, float smoothingAmount, float inputMultiplicationWeight, int multiScaleIterations) -> std::shared_ptr<NonLocalMeans>
- Creates instance of this process object.
- void setSmoothingAmount(float parameterH)
- void setPreProcess(bool preProcess)
- void setMultiscaleIterations(int iterations)
- void setSearchSize(int searchSize)
- void setFilterSize(int filterSize)
- void setInputMultiplicationWeight(float weight)
- void loadAttributes() override
Private functions
- void execute() override
Function documentation
std::shared_ptr<NonLocalMeans> fast::
Creates instance of this process object.
| Parameters | |
|---|---|
| filterSize | Size in pixels of the filter region to search for. Must be odd. |
| searchSize | How many pixels to search in each direction. Must be odd. |
| smoothingAmount | Parameter to control the amount of smoothing. |
| inputMultiplicationWeight | If > 0, the input image will be multiplied with the output with this weight. |
| multiScaleIterations | Number of multiscale iterations to perform |
| Returns | smart pointer to instance |