/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         https://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef itkVectorCurvatureAnisotropicDiffusionImageFilter_h
#define itkVectorCurvatureAnisotropicDiffusionImageFilter_h

#include "itkMacro.h"
#include "itkAnisotropicDiffusionImageFilter.h"
#include "itkVectorCurvatureNDAnisotropicDiffusionFunction.h"

namespace itk
{
/** \class VectorCurvatureAnisotropicDiffusionImageFilter
 *
 * This filter performs anisotropic diffusion on a vector itk::Image using the
 * modified curvature diffusion equation (MCDE) implemented in
 * itkVectorCurvatureNDAnisotropicDiffusionFunction.  For detailed information on
 * anisotropic diffusion and the MCDE see itkAnisotropicDiffusionFunction,
 * itkVectorCurvatureNDAnisotropicDiffusionFunction, and
 * itkCurvatureNDAnisotropicDiffusionFunction.
 *
 * \par Inputs and Outputs
 * The input to this filter must be an itk::Image with pixel
 * type which is either an itk::Vector, or a subclass of an itk::Vector.
 * Additionally, the component type of the vector should be a numerical type
 * (float or double, or a user defined type which correctly defines
 * arithmetic operations with floating point accuracy).  The output image type
 * also has these requirements.
 *
 * \par Parameters
 * Please first read all the documentation found in
 * AnisotropicDiffusionImageFilter and AnisotropicDiffusionFunction.  Also see
 * VectorCurvatureNDAnisotropicDiffusionFunction.
 *
 * The default time step for this filter is set to the maximum theoretically
 * stable value: 0.5 / 2^N, where N is the dimensionality of the image.  For a
 * 2D image, this means valid time steps are below 0.1250.  For a 3D image,
 * valid time steps are below 0.0625.
 *
 * \sa AnisotropicDiffusionImageFilter
 * \sa AnisotropicDiffusionFunction
 * \sa CurvatureNDAnisotropicDiffusionFunction

 * \ingroup ImageEnhancement
 *
 * \ingroup ITKAnisotropicSmoothing
 *
 * \sphinx
 * \sphinxexample{Filtering/AnisotropicSmoothing/SmoothImageWhilePreservingEdges2,Smooth Image While Preserving Edges
 (Curvature)}
 * \endsphinx
 */
template <typename TInputImage, typename TOutputImage>
class ITK_TEMPLATE_EXPORT VectorCurvatureAnisotropicDiffusionImageFilter
  : public AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(VectorCurvatureAnisotropicDiffusionImageFilter);

  /** Standard itk type alias */
  using Self = VectorCurvatureAnisotropicDiffusionImageFilter;
  using Superclass = AnisotropicDiffusionImageFilter<TInputImage, TOutputImage>;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

  /** Instantiation through object factory. */
  itkNewMacro(Self);

  /** \see LightObject::GetNameOfClass() */
  itkOverrideGetNameOfClassMacro(VectorCurvatureAnisotropicDiffusionImageFilter);

  /** Convenient type alias. */
  using typename Superclass::UpdateBufferType;

  /** Determine the image dimension. */
  static constexpr unsigned int ImageDimension = Superclass::ImageDimension;

#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro(InputHasNumericTraitsCheck, (Concept::HasNumericTraits<typename TInputImage::PixelType::ValueType>));
  itkConceptMacro(OutputHasNumericTraitsCheck,
                  (Concept::HasNumericTraits<typename TOutputImage::PixelType::ValueType>));
  // End concept checking
#endif

protected:
  VectorCurvatureAnisotropicDiffusionImageFilter()
  {
    typename VectorCurvatureNDAnisotropicDiffusionFunction<UpdateBufferType>::Pointer q =
      VectorCurvatureNDAnisotropicDiffusionFunction<UpdateBufferType>::New();
    this->SetDifferenceFunction(q);
  }

  ~VectorCurvatureAnisotropicDiffusionImageFilter() override = default;

  void
  InitializeIteration() override
  {
    Superclass::InitializeIteration();
    if (this->GetTimeStep() > 0.5 / std::pow(2.0, static_cast<double>(ImageDimension)))
    {
      itkWarningMacro(
        << "Anisotropic diffusion has attempted to use a time step which may introduce instability into the solution.");
    }
  }
};
} // namespace itk

#endif
