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ITK
5.4.0
Insight Toolkit
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#include <itkSpeckleNoiseImageFilter.h>
Alter an image with speckle (multiplicative) noise.
The speckle noise follows a gamma distribution of mean 1 and standard deviation provided by the user. The noise is proportional to the pixel intensity.
It can be modeled as:
This code was contributed in the Insight Journal paper "Noise Simulation". https://www.insight-journal.org/browse/publication/721
Definition at line 55 of file itkSpeckleNoiseImageFilter.h.
Static Public Member Functions | |
static Pointer | New () |
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static double | GetGlobalDefaultCoordinateTolerance () |
static double | GetGlobalDefaultDirectionTolerance () |
static void | SetGlobalDefaultCoordinateTolerance (double) |
static void | SetGlobalDefaultDirectionTolerance (double) |
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static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool val) |
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static void | BreakOnError () |
static Pointer | New () |
Private Attributes | |
double | m_StandardDeviation { 1.0 } |
Additional Inherited Members | |
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static constexpr unsigned int | InputImageDimension = TInputImage::ImageDimension |
static constexpr unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
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static constexpr unsigned int | InputImageDimension = TInputImage::ImageDimension |
static constexpr unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
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static constexpr unsigned int | OutputImageDimension = TOutputImage::ImageDimension |
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using | InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension > |
using | OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension > |
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static OutputImagePixelType | ClampCast (const double value) |
static uint32_t | Hash (uint32_t a, uint32_t b) |
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static const ImageRegionSplitterBase * | GetGlobalDefaultSplitter () |
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION | ThreaderCallback (void *arg) |
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static constexpr float | progressFixedToFloat (uint32_t fixed) |
static uint32_t | progressFloatToFixed (float f) |
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bool | m_DynamicMultiThreading {} |
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TimeStamp | m_OutputInformationMTime {} |
bool | m_Updating {} |
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std::atomic< int > | m_ReferenceCount {} |
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::ConstPointer = SmartPointer<const Self> |
Definition at line 64 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::InputImageConstPointer = typename InputImageType::ConstPointer |
Definition at line 81 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::InputImagePixelType = typename InputImageType::PixelType |
Definition at line 83 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::InputImagePointer = typename InputImageType::Pointer |
Definition at line 80 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::InputImageRegionType = typename InputImageType::RegionType |
Definition at line 82 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::InputImageType = TInputImage |
Some convenient type alias.
Definition at line 79 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::Pointer = SmartPointer<Self> |
Definition at line 63 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::Self = SpeckleNoiseImageFilter |
Standard class type aliases.
Definition at line 61 of file itkSpeckleNoiseImageFilter.h.
using itk::SpeckleNoiseImageFilter< TInputImage, TOutputImage >::Superclass = NoiseBaseImageFilter<TInputImage, TOutputImage> |
Definition at line 62 of file itkSpeckleNoiseImageFilter.h.
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protected |
Begin concept checking End concept checking
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overrideprotecteddefault |
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virtual |
Run-time type information (and related methods).
Reimplemented from itk::NoiseBaseImageFilter< TInputImage, TOutputImage >.
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virtual |
Set/Get the standard deviation of the gamma distribution. Defaults to 1.0.
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Method for creation through the object factory.
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overrideprotectedvirtual |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::NoiseBaseImageFilter< TInputImage, TOutputImage >.
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virtual |
Set/Get the standard deviation of the gamma distribution. Defaults to 1.0.
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overrideprotectedvirtual |
If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData() or DynamicThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call (Dynamic)ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of (Dynamic)ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a (Dynamic)ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The (Dynamic)ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. (Dynamic)ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).
DynamicThreadedGenerateData() is the newer variant without threadId, and is the preferred signature, which is called by default. This variant can split the requested region into different number of pieces depending on current multi-processing load, which allows better load balancing. The non-dynamic (also known as classic) ThreadedGenerateData() signature has threadId, and number of pieces to be split into is known in advance. It is activated by calling this->DynamicMultiThreadingOff(); in derived class constructor. It should be used when the multi-threaded algorithm needs to pre-allocate some data structure with size dependent on the number of pieces (also known as chunks, work units, and sometimes also incorrectly as threads). Only PlatformMultiThreader guarantees that each piece will be processed in its own specific thread. Pool and TBB multi-threaders maintain a pool of threads (normally equal to number of processing cores) which they use to process the pieces. This normally results in a single thread being reused to process multiple work units.
Reimplemented from itk::ImageSource< TOutputImage >.
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Definition at line 110 of file itkSpeckleNoiseImageFilter.h.