/*
 * Copyright (C) 2005-2022 Centre National d'Etudes Spatiales (CNES)
 *
 * This file is part of Orfeo Toolbox
 *
 *     https://www.orfeo-toolbox.org/
 *
 * 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
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * 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 otbPixelWiseBlockMatchingImageFilter_hxx
#define otbPixelWiseBlockMatchingImageFilter_hxx

#include "otbPixelWiseBlockMatchingImageFilter.h"
#include "itkProgressReporter.h"
#include "itkConstantBoundaryCondition.h"

namespace otb
{
template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage,
                                  TBlockMatchingFunctor>::PixelWiseBlockMatchingImageFilter()
{
  // Set the number of inputs
  this->SetNumberOfRequiredInputs(6);
  this->SetNumberOfRequiredInputs(2);

  // Set the outputs
  this->SetNumberOfRequiredOutputs(3);
  this->SetNthOutput(0, TOutputMetricImage::New());
  this->SetNthOutput(1, TOutputDisparityImage::New());
  this->SetNthOutput(2, TOutputDisparityImage::New());

  // Default parameters
  m_Radius.Fill(2);

  // Minimize by default
  m_Minimize = true;

  // Default disparity range
  m_MinimumHorizontalDisparity = -10;
  m_MaximumHorizontalDisparity = 10;
  m_MinimumVerticalDisparity   = 0;
  m_MaximumVerticalDisparity   = 0;

  // Default initial disparity
  m_InitHorizontalDisparity = 0;
  m_InitVerticalDisparity   = 0;

  // Default exploration radius : 0 (not used)
  m_ExplorationRadius.Fill(0);

  // Default step
  m_Step = 1;

  // Default grid index
  m_GridIndex[0] = 0;
  m_GridIndex[1] = 0;
}


template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage,
                                  TBlockMatchingFunctor>::~PixelWiseBlockMatchingImageFilter()
{
}


template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::SetLeftInput(
    const TInputImage* image)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(0, const_cast<TInputImage*>(image));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::SetRightInput(
    const TInputImage* image)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(1, const_cast<TInputImage*>(image));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::SetLeftMaskInput(
    const TMaskImage* image)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(2, const_cast<TMaskImage*>(image));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::SetRightMaskInput(
    const TMaskImage* image)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(3, const_cast<TMaskImage*>(image));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TInputImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetLeftInput() const
{
  if (this->GetNumberOfInputs() < 1)
  {
    return nullptr;
  }
  return static_cast<const TInputImage*>(this->itk::ProcessObject::GetInput(0));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TInputImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetRightInput() const
{
  if (this->GetNumberOfInputs() < 2)
  {
    return nullptr;
  }
  return static_cast<const TInputImage*>(this->itk::ProcessObject::GetInput(1));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TMaskImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetLeftMaskInput() const
{
  if (this->GetNumberOfInputs() < 3)
  {
    return nullptr;
  }
  return static_cast<const TMaskImage*>(this->itk::ProcessObject::GetInput(2));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TMaskImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetRightMaskInput() const
{
  if (this->GetNumberOfInputs() < 4)
  {
    return nullptr;
  }
  return static_cast<const TMaskImage*>(this->itk::ProcessObject::GetInput(3));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TOutputMetricImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetMetricOutput() const
{
  if (this->GetNumberOfOutputs() < 1)
  {
    return nullptr;
  }
  return static_cast<const TOutputMetricImage*>(this->itk::ProcessObject::GetOutput(0));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
TOutputMetricImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetMetricOutput()
{
  if (this->GetNumberOfOutputs() < 1)
  {
    return nullptr;
  }
  return static_cast<TOutputMetricImage*>(this->itk::ProcessObject::GetOutput(0));
}


template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TOutputDisparityImage* PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage,
                                                               TBlockMatchingFunctor>::GetHorizontalDisparityOutput() const
{
  if (this->GetNumberOfOutputs() < 2)
  {
    return nullptr;
  }
  return static_cast<const TOutputDisparityImage*>(this->itk::ProcessObject::GetOutput(1));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
TOutputDisparityImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetHorizontalDisparityOutput()
{
  if (this->GetNumberOfOutputs() < 2)
  {
    return nullptr;
  }
  return static_cast<TOutputDisparityImage*>(this->itk::ProcessObject::GetOutput(1));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TOutputDisparityImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetVerticalDisparityOutput() const
{
  if (this->GetNumberOfOutputs() < 3)
  {
    return nullptr;
  }
  return static_cast<const TOutputDisparityImage*>(this->itk::ProcessObject::GetOutput(2));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
TOutputDisparityImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetVerticalDisparityOutput()
{
  if (this->GetNumberOfOutputs() < 3)
  {
    return nullptr;
  }
  return static_cast<TOutputDisparityImage*>(this->itk::ProcessObject::GetOutput(2));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::SetHorizontalDisparityInput(
    const TOutputDisparityImage* hfield)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(4, const_cast<TOutputDisparityImage*>(hfield));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::SetVerticalDisparityInput(
    const TOutputDisparityImage* vfield)
{
  // Process object is not const-correct so the const casting is required.
  this->SetNthInput(5, const_cast<TOutputDisparityImage*>(vfield));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TOutputDisparityImage* PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage,
                                                               TBlockMatchingFunctor>::GetHorizontalDisparityInput() const
{
  if (this->GetNumberOfInputs() < 5)
  {
    return nullptr;
  }
  return static_cast<const TOutputDisparityImage*>(this->itk::ProcessObject::GetInput(4));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
const TOutputDisparityImage*
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GetVerticalDisparityInput() const
{
  if (this->GetNumberOfInputs() < 6)
  {
    return nullptr;
  }
  return static_cast<const TOutputDisparityImage*>(this->itk::ProcessObject::GetInput(5));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::GenerateOutputInformation()
{
  // Call superclass implementation
  Superclass::GenerateOutputInformation();

  // Sanity check
  if (this->m_Step == 0)
    this->m_Step       = 1;
  this->m_GridIndex[0] = this->m_GridIndex[0] % this->m_Step;
  this->m_GridIndex[1] = this->m_GridIndex[1] % this->m_Step;

  // Modify output size and index depending on the step
  const TInputImage* inLeftPtr = this->GetLeftInput();

  RegionType outputLargest = this->ConvertFullToSubsampledRegion(inLeftPtr->GetLargestPossibleRegion(), this->m_Step, this->m_GridIndex);

  TOutputMetricImage*    outMetricPtr = const_cast<TOutputMetricImage*>(this->GetMetricOutput());
  TOutputDisparityImage* outHDispPtr  = const_cast<TOutputDisparityImage*>(this->GetHorizontalDisparityOutput());
  TOutputDisparityImage* outVDispPtr  = const_cast<TOutputDisparityImage*>(this->GetVerticalDisparityOutput());

  outMetricPtr->SetLargestPossibleRegion(outputLargest);
  outHDispPtr->SetLargestPossibleRegion(outputLargest);
  outVDispPtr->SetLargestPossibleRegion(outputLargest);

  // Adapt spacing
  SpacingType outSpacing = inLeftPtr->GetSignedSpacing();
  outSpacing[0] *= static_cast<double>(this->m_Step);
  outSpacing[1] *= static_cast<double>(this->m_Step);

  outMetricPtr->SetSignedSpacing(outSpacing);
  outHDispPtr->SetSignedSpacing(outSpacing);
  outVDispPtr->SetSignedSpacing(outSpacing);

  // Adapt origin
  PointType   outOrigin = inLeftPtr->GetOrigin();
  SpacingType inSpacing = inLeftPtr->GetSignedSpacing();
  outOrigin[0] += inSpacing[0] * static_cast<double>(this->m_GridIndex[0]);
  outOrigin[1] += inSpacing[1] * static_cast<double>(this->m_GridIndex[1]);

  outMetricPtr->SetOrigin(outOrigin);
  outHDispPtr->SetOrigin(outOrigin);
  outVDispPtr->SetOrigin(outOrigin);
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage,
                                       TBlockMatchingFunctor>::GenerateInputRequestedRegion()
{
  // Call superclass implementation
  Superclass::GenerateInputRequestedRegion();

  // Retrieve input pointers
  TInputImage*           inLeftPtr      = const_cast<TInputImage*>(this->GetLeftInput());
  TInputImage*           inRightPtr     = const_cast<TInputImage*>(this->GetRightInput());
  TMaskImage*            inLeftMaskPtr  = const_cast<TMaskImage*>(this->GetLeftMaskInput());
  TMaskImage*            inRightMaskPtr = const_cast<TMaskImage*>(this->GetRightMaskInput());
  TOutputDisparityImage* inHDispPtr     = const_cast<TOutputDisparityImage*>(this->GetHorizontalDisparityInput());
  TOutputDisparityImage* inVDispPtr     = const_cast<TOutputDisparityImage*>(this->GetVerticalDisparityInput());

  TOutputMetricImage*    outMetricPtr = this->GetMetricOutput();
  TOutputDisparityImage* outHDispPtr  = this->GetHorizontalDisparityOutput();
  TOutputDisparityImage* outVDispPtr  = this->GetVerticalDisparityOutput();

  // Check pointers before using them
  if (!inLeftPtr || !inRightPtr || !outMetricPtr || !outHDispPtr || !outVDispPtr)
  {
    return;
  }

  // Now, we impose that both inputs have the same size
  if (inLeftPtr->GetLargestPossibleRegion() != inRightPtr->GetLargestPossibleRegion())
  {
    itkExceptionMacro(<< "Left and right images do not have the same size ! Left largest region: " << inLeftPtr->GetLargestPossibleRegion()
                      << ", right largest region: " << inRightPtr->GetLargestPossibleRegion());
  }

  // We also check that left mask image has same size if present
  if (inLeftMaskPtr && inLeftPtr->GetLargestPossibleRegion() != inLeftMaskPtr->GetLargestPossibleRegion())
  {
    itkExceptionMacro(<< "Left and mask images do not have the same size ! Left largest region: " << inLeftPtr->GetLargestPossibleRegion()
                      << ", mask largest region: " << inLeftMaskPtr->GetLargestPossibleRegion());
  }

  // We also check that right mask image has same size if present
  if (inRightMaskPtr && inRightPtr->GetLargestPossibleRegion() != inRightMaskPtr->GetLargestPossibleRegion())
  {
    itkExceptionMacro(<< "Right and mask images do not have the same size ! Right largest region: " << inRightPtr->GetLargestPossibleRegion()
                      << ", mask largest region: " << inRightMaskPtr->GetLargestPossibleRegion());
  }

  // We check that the input initial disparity maps have the same size if present
  if (inHDispPtr && inLeftPtr->GetLargestPossibleRegion() != inHDispPtr->GetLargestPossibleRegion())
  {
    itkExceptionMacro(<< "Left image and initial horizontal disparity map do not have the same size ! Left largest region: "
                      << inLeftPtr->GetLargestPossibleRegion() << ", horizontal disparity largest region: " << inHDispPtr->GetLargestPossibleRegion());
  }
  if (inVDispPtr && inLeftPtr->GetLargestPossibleRegion() != inVDispPtr->GetLargestPossibleRegion())
  {
    itkExceptionMacro(<< "Left image and initial vertical disparity map do not have the same size ! Left largest region: "
                      << inLeftPtr->GetLargestPossibleRegion() << ", vertical disparity largest region: " << inVDispPtr->GetLargestPossibleRegion());
  }

  // Sanity check
  if (this->m_Step == 0)
    this->m_Step       = 1;
  this->m_GridIndex[0] = this->m_GridIndex[0] % this->m_Step;
  this->m_GridIndex[1] = this->m_GridIndex[1] % this->m_Step;

  // Retrieve requested region (TODO: check if we need to handle
  // region for outHDispPtr)
  RegionType inputLeftRegion = this->ConvertSubsampledToFullRegion(outMetricPtr->GetRequestedRegion(), this->m_Step, this->m_GridIndex);

  // Pad by the appropriate radius
  inputLeftRegion.PadByRadius(m_Radius);

  // Now, we must find the corresponding region in moving image
  IndexType rightRequestedRegionIndex = inputLeftRegion.GetIndex();
  rightRequestedRegionIndex[0] += m_MinimumHorizontalDisparity;
  rightRequestedRegionIndex[1] += m_MinimumVerticalDisparity;

  SizeType rightRequestedRegionSize = inputLeftRegion.GetSize();
  rightRequestedRegionSize[0] += m_MaximumHorizontalDisparity - m_MinimumHorizontalDisparity;
  rightRequestedRegionSize[1] += m_MaximumVerticalDisparity - m_MinimumVerticalDisparity;

  RegionType inputRightRegion;
  inputRightRegion.SetIndex(rightRequestedRegionIndex);
  inputRightRegion.SetSize(rightRequestedRegionSize);

  // crop the left region at the left's largest possible region
  if (inputLeftRegion.Crop(inLeftPtr->GetLargestPossibleRegion()))
  {
    inLeftPtr->SetRequestedRegion(inputLeftRegion);
  }
  else
  {
    // Couldn't crop the region (requested region is outside the largest
    // possible region).  Throw an exception.
    // store what we tried to request (prior to trying to crop)
    inLeftPtr->SetRequestedRegion(inputLeftRegion);

    // build an exception
    itk::InvalidRequestedRegionError e(__FILE__, __LINE__);
    std::ostringstream               msg;
    msg << this->GetNameOfClass() << "::GenerateInputRequestedRegion()";
    e.SetLocation(msg.str());
    e.SetDescription("Requested region is (at least partially) outside the largest possible region of left image.");
    e.SetDataObject(inLeftPtr);
    throw e;
  }


  // crop the right region at the right's largest possible region
  if (inputRightRegion.Crop(inRightPtr->GetLargestPossibleRegion()))
  {
    inRightPtr->SetRequestedRegion(inputRightRegion);
  }
  else
  {
    // Couldn't crop the region (requested region is outside the largest
    // possible region).  Throw an exception.
    // store what we tried to request (prior to trying to crop)
    inRightPtr->SetRequestedRegion(inputRightRegion);

    // build an exception
    itk::InvalidRequestedRegionError e(__FILE__, __LINE__);
    std::ostringstream               msg;
    msg << this->GetNameOfClass() << "::GenerateInputRequestedRegion()";
    e.SetLocation(msg.str());
    e.SetDescription("Requested region is (at least partially) outside the largest possible region of right image.");
    e.SetDataObject(inRightPtr);
    throw e;
  }

  if (inLeftMaskPtr)
  {
    // no need to crop the mask region : left mask and left image have same largest possible region
    inLeftMaskPtr->SetRequestedRegion(inputLeftRegion);
  }

  if (inRightMaskPtr)
  {
    // no need to crop the mask region : right mask and right image have same largest possible region
    inRightMaskPtr->SetRequestedRegion(inputRightRegion);
  }

  if (inHDispPtr && inVDispPtr)
  {
    inHDispPtr->SetRequestedRegion(inputLeftRegion);
    inVDispPtr->SetRequestedRegion(inputLeftRegion);
  }
}
template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::BeforeThreadedGenerateData()
{
  TOutputMetricImage*    outMetricPtr = this->GetMetricOutput();
  TOutputDisparityImage* outHDispPtr  = this->GetHorizontalDisparityOutput();
  TOutputDisparityImage* outVDispPtr  = this->GetVerticalDisparityOutput();

  // Sanity check
  if (this->m_Step == 0)
    this->m_Step       = 1;
  this->m_GridIndex[0] = this->m_GridIndex[0] % this->m_Step;
  this->m_GridIndex[1] = this->m_GridIndex[1] % this->m_Step;

  // Fill buffers with default values
  outMetricPtr->FillBuffer(0.);
  outHDispPtr->FillBuffer(static_cast<DisparityPixelType>(m_MaximumHorizontalDisparity) / static_cast<DisparityPixelType>(m_Step));
  outVDispPtr->FillBuffer(static_cast<DisparityPixelType>(m_MinimumVerticalDisparity) / static_cast<DisparityPixelType>(m_Step));
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
void PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::ThreadedGenerateData(
    const RegionType& outputRegionForThread, itk::ThreadIdType threadId)
{
  // Retrieve pointers
  const TInputImage*           inLeftPtr      = this->GetLeftInput();
  const TInputImage*           inRightPtr     = this->GetRightInput();
  const TMaskImage*            inLeftMaskPtr  = this->GetLeftMaskInput();
  const TMaskImage*            inRightMaskPtr = this->GetRightMaskInput();
  const TOutputDisparityImage* inHDispPtr     = this->GetHorizontalDisparityInput();
  const TOutputDisparityImage* inVDispPtr     = this->GetVerticalDisparityInput();
  TOutputMetricImage*          outMetricPtr   = this->GetMetricOutput();
  TOutputDisparityImage*       outHDispPtr    = this->GetHorizontalDisparityOutput();
  TOutputDisparityImage*       outVDispPtr    = this->GetVerticalDisparityOutput();

  // Set-up progress reporting (this is not exact, since we do not
  // account for pixels that are out of range for a given disparity
  itk::ProgressReporter progress(this, threadId, outputRegionForThread.GetNumberOfPixels() * (m_MaximumHorizontalDisparity - m_MinimumHorizontalDisparity + 1) *
                                                     (m_MaximumVerticalDisparity - m_MinimumVerticalDisparity + 1),
                                 100);


  // Handle initialization properly
  typename InputMaskImageType::Pointer initMaskPtr = InputMaskImageType::New();
  initMaskPtr->SetRegions(outputRegionForThread);
  initMaskPtr->Allocate();
  initMaskPtr->FillBuffer(0);

  // Compute region for thread at full resolution
  RegionType fullRegionForThread = this->ConvertSubsampledToFullRegion(outputRegionForThread, this->m_Step, this->m_GridIndex);

  // Check if we use initial disparities and exploration radius
  bool useExplorationRadius = false;
  bool useInitDispMaps      = false;
  if (m_ExplorationRadius[0] >= 1 || m_ExplorationRadius[1] >= 1)
  {
    useExplorationRadius = true;
    if (inHDispPtr && inVDispPtr)
    {
      useInitDispMaps = true;
    }
  }

  // step value as disparityType
  DisparityPixelType stepDisparityInv = 1. / static_cast<DisparityPixelType>(this->m_Step);

  // We loop on disparities
  for (int vdisparity = m_MinimumVerticalDisparity; vdisparity <= m_MaximumVerticalDisparity; ++vdisparity)
  {
    for (int hdisparity = m_MinimumHorizontalDisparity; hdisparity <= m_MaximumHorizontalDisparity; ++hdisparity)
    {
      // First, we cast output region to the right image
      IndexType rightRequestedRegionIndex = fullRegionForThread.GetIndex();
      rightRequestedRegionIndex[0] += hdisparity;
      rightRequestedRegionIndex[1] += vdisparity;

      // We crop
      RegionType inputRightRegion;
      inputRightRegion.SetIndex(rightRequestedRegionIndex);
      inputRightRegion.SetSize(fullRegionForThread.GetSize());
      inputRightRegion.Crop(inRightPtr->GetLargestPossibleRegion());

      // And then cast back
      IndexType leftRequestedRegionIndex = inputRightRegion.GetIndex();
      leftRequestedRegionIndex[0] -= hdisparity;
      leftRequestedRegionIndex[1] -= vdisparity;

      RegionType inputLeftRegion;
      inputLeftRegion.SetIndex(leftRequestedRegionIndex);
      inputLeftRegion.SetSize(inputRightRegion.GetSize());

      // Compute the equivalent region in subsampled grid
      RegionType outputRegion = this->ConvertFullToSubsampledRegion(inputLeftRegion, this->m_Step, this->m_GridIndex);

      // Define iterators
      itk::ConstNeighborhoodIterator<TInputImage>          leftIt(m_Radius, inLeftPtr, inputLeftRegion);
      itk::ConstNeighborhoodIterator<TInputImage>          rightIt(m_Radius, inRightPtr, inputRightRegion);
      itk::ImageRegionIterator<TOutputMetricImage>         outMetricIt(outMetricPtr, outputRegion);
      itk::ImageRegionIterator<TOutputDisparityImage>      outHDispIt(outHDispPtr, outputRegion);
      itk::ImageRegionIterator<TOutputDisparityImage>      outVDispIt(outVDispPtr, outputRegion);
      itk::ImageRegionConstIterator<TMaskImage>            inLeftMaskIt;
      itk::ImageRegionConstIterator<TMaskImage>            inRightMaskIt;
      itk::ImageRegionConstIterator<TOutputDisparityImage> inHDispIt;
      itk::ImageRegionConstIterator<TOutputDisparityImage> inVDispIt;
      itk::ImageRegionIterator<TMaskImage>                 initIt(initMaskPtr, outputRegion);

      itk::ConstantBoundaryCondition<TInputImage> nbc1;
      itk::ConstantBoundaryCondition<TInputImage> nbc2;

      leftIt.OverrideBoundaryCondition(&nbc1);
      rightIt.OverrideBoundaryCondition(&nbc2);

      // If we have a mask, define the iterator
      if (inLeftMaskPtr)
      {
        inLeftMaskIt = itk::ImageRegionConstIterator<TMaskImage>(inLeftMaskPtr, inputLeftRegion);
        inLeftMaskIt.GoToBegin();
      }
      if (inRightMaskPtr)
      {
        inRightMaskIt = itk::ImageRegionConstIterator<TMaskImage>(inRightMaskPtr, inputRightRegion);
        inRightMaskIt.GoToBegin();
      }

      // If we use initial disparity maps, define the iterators
      if (useInitDispMaps)
      {
        inHDispIt = itk::ImageRegionConstIterator<TOutputDisparityImage>(inHDispPtr, inputLeftRegion);
        inVDispIt = itk::ImageRegionConstIterator<TOutputDisparityImage>(inVDispPtr, inputLeftRegion);
        inHDispIt.GoToBegin();
        inVDispIt.GoToBegin();
      }

      // Initialize iterators
      leftIt.GoToBegin();
      rightIt.GoToBegin();
      outMetricIt.GoToBegin();
      outHDispIt.GoToBegin();
      outVDispIt.GoToBegin();
      initIt.GoToBegin();

      // Loop on pixels
      while (!leftIt.IsAtEnd() || !rightIt.IsAtEnd() || !outMetricIt.IsAtEnd() || !outHDispIt.IsAtEnd() || !outVDispIt.IsAtEnd() || !initIt.IsAtEnd())
      {
        // If the pixel location is on the subsampled grid
        IndexType tmpIndex = leftIt.GetIndex(leftIt.GetCenterNeighborhoodIndex());
        if (((tmpIndex[0] - this->m_GridIndex[0] + this->m_Step) % this->m_Step == 0) &&
            ((tmpIndex[1] - this->m_GridIndex[1] + this->m_Step) % this->m_Step == 0))
        {
          // If the mask is present and valid
          if (!inLeftMaskPtr || (inLeftMaskIt.Get() > 0))
          {
            if (!inRightMaskPtr || (inRightMaskIt.Get() > 0))
            {
              int estimatedMinHDisp = m_MinimumHorizontalDisparity;
              int estimatedMinVDisp = m_MinimumVerticalDisparity;
              int estimatedMaxHDisp = m_MaximumHorizontalDisparity;
              int estimatedMaxVDisp = m_MaximumVerticalDisparity;
              if (useExplorationRadius)
              {
                // compute disparity bounds from initial position and exploration radius
                if (useInitDispMaps)
                {
                  estimatedMinHDisp = inHDispIt.Get() - m_ExplorationRadius[0];
                  estimatedMinVDisp = inVDispIt.Get() - m_ExplorationRadius[1];
                  estimatedMaxHDisp = inHDispIt.Get() + m_ExplorationRadius[0];
                  estimatedMaxVDisp = inVDispIt.Get() + m_ExplorationRadius[1];
                }
                else
                {
                  estimatedMinHDisp = m_InitHorizontalDisparity - m_ExplorationRadius[0];
                  estimatedMinVDisp = m_InitVerticalDisparity - m_ExplorationRadius[1];
                  estimatedMaxHDisp = m_InitHorizontalDisparity + m_ExplorationRadius[0];
                  estimatedMaxVDisp = m_InitVerticalDisparity + m_ExplorationRadius[1];
                }
                // clamp to the minimum disparities
                if (estimatedMinHDisp < m_MinimumHorizontalDisparity)
                {
                  estimatedMinHDisp = m_MinimumHorizontalDisparity;
                }
                if (estimatedMinVDisp < m_MinimumVerticalDisparity)
                {
                  estimatedMinVDisp = m_MinimumVerticalDisparity;
                }
              }

              if (vdisparity >= estimatedMinVDisp && vdisparity <= estimatedMaxVDisp && hdisparity >= estimatedMinHDisp && hdisparity <= estimatedMaxHDisp)
              {
                // Compute the block matching value
                double metric = m_Functor(leftIt, rightIt);

                // If we are at first loop, fill both outputs
                // We adapt the disparity value to keep consistent with disparity map index space
                if (initIt.Get() == 0)
                {
                  outHDispIt.Set(static_cast<DisparityPixelType>(hdisparity) * stepDisparityInv);
                  outVDispIt.Set(static_cast<DisparityPixelType>(vdisparity) * stepDisparityInv);
                  outMetricIt.Set(metric);
                  initIt.Set(1);
                }
                else if (m_Minimize && metric < outMetricIt.Get())
                {
                  outHDispIt.Set(static_cast<DisparityPixelType>(hdisparity) * stepDisparityInv);
                  outVDispIt.Set(static_cast<DisparityPixelType>(vdisparity) * stepDisparityInv);
                  outMetricIt.Set(metric);
                }
                else if (!m_Minimize && metric > outMetricIt.Get())
                {
                  outHDispIt.Set(static_cast<DisparityPixelType>(hdisparity) * stepDisparityInv);
                  outVDispIt.Set(static_cast<DisparityPixelType>(vdisparity) * stepDisparityInv);
                  outMetricIt.Set(metric);
                }
              }
            }
          }
          ++outMetricIt;
          ++outHDispIt;
          ++outVDispIt;
          ++initIt;
          progress.CompletedPixel();
        }
        ++leftIt;
        ++rightIt;

        if (inLeftMaskPtr)
        {
          ++inLeftMaskIt;
        }

        if (inRightMaskPtr)
        {
          ++inRightMaskIt;
        }

        if (useInitDispMaps)
        {
          ++inHDispIt;
          ++inVDispIt;
        }
      }
    }
  }
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
typename PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::RegionType
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::ConvertFullToSubsampledRegion(
    RegionType full, unsigned int step, IndexType index)
{
  IndexType shiftedFull = full.GetIndex();
  shiftedFull[0] -= index[0];
  shiftedFull[1] -= index[1];

  IndexType subIndex;
  subIndex[0] = (shiftedFull[0]) / step;
  subIndex[1] = (shiftedFull[1]) / step;
  if (shiftedFull[0] % step)
    ++subIndex[0];
  if (shiftedFull[1] % step)
    ++subIndex[1];

  if (shiftedFull[0] < 0)
    subIndex[0] = 0;
  if (shiftedFull[1] < 0)
    subIndex[1] = 0;

  SizeType subSize;
  subSize[0] = (full.GetSize(0) - (subIndex[0] * step) + shiftedFull[0]) / step;
  subSize[1] = (full.GetSize(1) - (subIndex[1] * step) + shiftedFull[1]) / step;

  if ((full.GetSize(0) - (subIndex[0] * step) + shiftedFull[0]) % step)
    ++subSize[0];
  if ((full.GetSize(1) - (subIndex[1] * step) + shiftedFull[1]) % step)
    ++subSize[1];

  RegionType subRegion;
  subRegion.SetIndex(subIndex);
  subRegion.SetSize(subSize);
  return subRegion;
}

template <class TInputImage, class TOutputMetricImage, class TOutputDisparityImage, class TMaskImage, class TBlockMatchingFunctor>
typename PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::RegionType
PixelWiseBlockMatchingImageFilter<TInputImage, TOutputMetricImage, TOutputDisparityImage, TMaskImage, TBlockMatchingFunctor>::ConvertSubsampledToFullRegion(
    RegionType sub, unsigned int step, IndexType index)
{
  IndexType fullIndex;
  fullIndex[0] = sub.GetIndex(0) * step + index[0];
  fullIndex[1] = sub.GetIndex(1) * step + index[1];

  SizeType fullSize;
  fullSize[0] = sub.GetSize(0) * step;
  fullSize[1] = sub.GetSize(1) * step;
  if (fullSize[0] > 0)
    fullSize[0] -= (step - 1);
  if (fullSize[1] > 0)
    fullSize[1] -= (step - 1);

  RegionType fullRegion;
  fullRegion.SetIndex(fullIndex);
  fullRegion.SetSize(fullSize);
  return fullRegion;
}

} // End namespace otb

#endif
