ImFusion SDK 4.3
ImageInpaintingAlgorithm Class Reference

#include <ImFusion/Base/ImageInpaintingAlgorithm.h>

Algorithm that inpaints a masked area of an image. More...

+ Inheritance diagram for ImageInpaintingAlgorithm:

Detailed Description

Algorithm that inpaints a masked area of an image.

By default the algorithm will inpaint the areas with mask value == 0, if the parameter p_invertMask is true then the algorithm will inpaint the areas with mask value != 0. The algorithm uses normalized convolutions for inpainting, that means that given an image x, a mask m and a convolution function c() the output of the algorithm is c(x) / (c(m) + eps) where m == 0 and x everywhere else. The convolution filter could be a Gaussian (supported on both CPU and GPU), a box filter or a sum of Gaussians. The "sum of Gaussians" filter is constructed by summing different Gaussians filters with sigma parameters going from 1 to p_kernelSizePix / 3. The idea is that such filter will give more importance to nearby pixels, resulting in less pronounced edges between the image and the inpainted area.

Public Types

enum  InpaintingMethod {
  NORMALIZED_CONVOLUTION = 0 , NORMALIZED_CONVOLUTION_GAUSSIAN = 0 , NORMALIZED_CONVOLUTION_BOX = 1 , NORMALIZED_CONVOLUTION_GAUSSIAN_GPU = 2 ,
  NORMALIZED_CONVOLUTION_GAUSSIAN_SUM_GPU = 3 , NR_METHODS = 4
}
 Enum for inpainting method. More...
 
- Public Types inherited from Algorithm
enum  Status {
  Unknown = -1 , Success = 0 , Error = 1 , InvalidInput ,
  IncompleteInput , OutOfMemoryHost , OutOfMemoryGPU , UnsupportedGPU ,
  UnknownAction , AbortedByUser , User = 1000
}
 Status codes. More...
 

Public Member Functions

 ImageInpaintingAlgorithm (SharedImage &imgIn, SharedImage *mask=nullptr)
 
 ImageInpaintingAlgorithm (SharedImageSet &img, SharedImage *mask=nullptr)
 
 ImageInpaintingAlgorithm (std::vector< SharedImage * > images, SharedImage *mask=nullptr)
 
void setKernelSize (int kernelSizePix)
 Set the Gaussian kernel size.
 
void setInPlace (bool inplace)
 Set whether the result should be computed in place.
 
void compute () override
 Compute the result.
 
OwningDataList takeOutput () override
 If the algorithm creates new image data, it has to be transferred here.
 
- Public Member Functions inherited from Algorithm
 Algorithm ()
 Default constructor will registers a single "compute" action that calls compute() and returns status().
 
virtual void setProgress (Progress *progress)
 Sets a Progress interface the algorithm can use to notify observers about its computing progress.
 
Progressprogress () const
 Returns the progress interface if set.
 
virtual int status () const
 Indicates the status of the last call to compute().
 
virtual bool survivesDataDeletion (const Data *) const
 Indicates whether the algorithm can handle (partial) deletion of the specified data, by default this checks whether the data is in the input list.
 
const FactoryInfofactoryInfo () const
 Returns the record describing how this Algorithm was instantiated by the AlgorithmFactory.
 
void setFactoryInfo (const FactoryInfo &value)
 Sets the record describing how this Algorithm was instantiated by the AlgorithmFactory.
 
Status runAction (const std::string &id)
 Run the action with name id if it exists.
 
const std::vector< Action > & actions ()
 Get a mapping from Action id to Action as registered in this algorithm.
 
- Public Member Functions inherited from Configurable
virtual void configure (const Properties *p)
 Configure this object instance by de-serializing the given Properties.
 
virtual void configuration (Properties *p) const
 Serialize the current object configuration into the given Properties object.
 
virtual void configureDefaults ()
 Retrieve the properties of this object, replaces values with their defaults and sets it again.
 
void registerParameter (ParameterBase *param)
 Register the given Parameter or SubProperty, so that it will be configured during configure()/configuration().
 
void unregisterParameter (const ParameterBase *param)
 Remove the given Parameter or SubProperty from the list of registered parameters.
 
 Configurable (const Configurable &rhs)
 
 Configurable (Configurable &&rhs) noexcept
 
Configurableoperator= (const Configurable &)
 
Configurableoperator= (Configurable &&) noexcept
 

Static Public Member Functions

static bool createCompatible (const DataList &data, Algorithm **a)
 If data is compatible with algorithm return true. If a is not zero, create algorithm with input data.
 
- Static Public Member Functions inherited from Algorithm
static bool createCompatible (const DataList &data, Algorithm **a=nullptr)
 Factory function to check algorithm compatibility with input data and optionally instantiate it.
 

Public Attributes

Parameter< InpaintingMethodp_method = {"method", NORMALIZED_CONVOLUTION_GAUSSIAN, this}
 
Parameter< int > p_kernelSizePix = {"kernelSizePix", 31, this}
 
Parameter< bool > p_createNew = {"createNew", true, this}
 
Parameter< bool > p_invertMask = {"invertMask", false, this}
 
- Public Attributes inherited from Algorithm
Signal signalOutputChanged
 Signal should be emitted by Algorithms when their output/result has changed.
 
Signal signalParametersChanged
 Signal should be emitted by Algorithms when their parameter configuration has changed.
 
- Public Attributes inherited from Configurable
Signal signalParametersChanged
 Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted.
 

Additional Inherited Members

- Protected Member Functions inherited from Algorithm
void loadDefaults ()
 
void registerAction (const std::string &id, const std::string &guiName, const std::function< Algorithm::Status(void)> &action)
 Register an action to be run via runAction.
 
template<typename D>
void registerAction (const std::string &id, const std::string &guiName, Algorithm::Status(D::*action)(void))
 Template version of runAction that can be used with a pointer to a member function.
 
void registerAction (const Action &action)
 Register an action.
 
- Protected Attributes inherited from Algorithm
std::string m_name
 Algorithm name.
 
Progressm_progress = nullptr
 Non-owing pointer to a progress interface. May be a nullptr.
 
FactoryInfo m_factoryInfo = {}
 Record describing how this algorithm was instantiated by the AlgorithmFactory.
 
int m_status = Status::Unknown
 Algorithm status after last call to compute()
 
std::vector< Actionm_actions
 Map of key given by the id of the action, of the available actions of this algorithm.
 
- Protected Attributes inherited from Configurable
std::vector< Paramm_params
 List of all registered Parameter and SubProperty instances.
 

Member Enumeration Documentation

◆ InpaintingMethod

Enum for inpainting method.

Enumerator
NORMALIZED_CONVOLUTION 

deprecated, use NORMALIZED_CONVOLUTION_GAUSSIAN instead

NORMALIZED_CONVOLUTION_GAUSSIAN 

apply normalized convolution with Gaussian filter

NORMALIZED_CONVOLUTION_BOX 

apply normalized convolution with box filter

NORMALIZED_CONVOLUTION_GAUSSIAN_GPU 

apply normalized convolution with Gaussian filter using the GPU

NORMALIZED_CONVOLUTION_GAUSSIAN_SUM_GPU 

apply normalized convolution with a sum of Gaussian filters with different sigmas on the GPU

Member Function Documentation

◆ compute()

void compute ( )
overridevirtual

Compute the result.

Implements Algorithm.

◆ takeOutput()

OwningDataList takeOutput ( )
overridevirtual

If the algorithm creates new image data, it has to be transferred here.

Reimplemented from Algorithm.


The documentation for this class was generated from the following file:
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