-
Notifications
You must be signed in to change notification settings - Fork 17
/
InpaintingHistogramSort.cpp
174 lines (139 loc) · 6.25 KB
/
InpaintingHistogramSort.cpp
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
/*=========================================================================
*
* Copyright David Doria 2012 [email protected]
*
* 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.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.
*
*=========================================================================*/
// Pixel descriptors
#include "PixelDescriptors/ImagePatchPixelDescriptor.h"
// Visitors
#include "Visitors/NearestNeighborsDefaultVisitor.hpp"
// Descriptor visitors
#include "Visitors/DescriptorVisitors/ImagePatchDescriptorVisitor.hpp"
// Inpainting visitors
#include "Visitors/InpaintingVisitor.hpp"
#include "Visitors/AcceptanceVisitors/DefaultAcceptanceVisitor.hpp"
// Nearest neighbors functions
#include "NearestNeighbor/LinearSearchBest/HistogramCorrelation.hpp"
#include "NearestNeighbor/LinearSearchBest/HistogramDifference.hpp"
#include "NearestNeighbor/LinearSearchBest/HoleHistogramDifference.hpp"
#include "NearestNeighbor/LinearSearchBest/HistogramNewColors.hpp"
#include "NearestNeighbor/LinearSearchBest/DualHistogramDifference.hpp"
#include "NearestNeighbor/LinearSearchBest/AdaptiveDualHistogramDifference.hpp"
#include "NearestNeighbor/LinearSearchBest/AdaptiveDualQuadrantHistogramDifference.hpp"
#include "NearestNeighbor/LinearSearchBest/IntroducedEnergy.hpp"
#include "NearestNeighbor/LinearSearchBest/First.hpp"
#include "NearestNeighbor/LinearSearchBest/FirstAndWrite.hpp"
#include "NearestNeighbor/LinearSearchBest/StrategySelection.hpp"
#include "NearestNeighbor/LinearSearchKNNProperty.hpp"
#include "NearestNeighbor/TwoStepNearestNeighbor.hpp"
// Initializers
#include "Initializers/InitializeFromMaskImage.hpp"
#include "Initializers/InitializePriority.hpp"
// Inpainters
#include "Inpainters/PatchInpainter.hpp"
#include "Inpainters/CompositePatchInpainter.hpp"
// Difference functions
#include "DifferenceFunctions/ImagePatchDifference.hpp"
#include "DifferenceFunctions/SumAbsolutePixelDifference.hpp"
#include "DifferenceFunctions/SumSquaredPixelDifference.hpp"
// Utilities
#include "Utilities/PatchHelpers.h"
#include "Utilities/IndirectPriorityQueue.h"
// Inpainting
#include "Algorithms/InpaintingAlgorithm.hpp"
// Priority
#include "Priority/PriorityRandom.h"
#include "Priority/PriorityCriminisi.h"
// ITK
#include "itkImageFileReader.h"
// Submodules
#include <Helpers/Helpers.h>
#include <ITKVTKHelpers/ITKVTKHelpers.h>
#include <Mask/MaskOperations.h>
// Boost
#include <boost/graph/grid_graph.hpp>
#include <boost/property_map/property_map.hpp>
#include "Drivers/InpaintingHistogram.hpp"
// Run with: Data/trashcan.png Data/trashcan.mask 15 filled.png
int main(int argc, char *argv[])
{
// Verify arguments
if(argc != 7)
{
std::cerr << "Required arguments: image.png imageMask.mask patchHalfWidth numberOfKNN binsPerChannel output.png" << std::endl;
std::cerr << "Input arguments: ";
for(int i = 1; i < argc; ++i)
{
std::cerr << argv[i] << " ";
}
return EXIT_FAILURE;
}
std::stringstream ssArguments;
for(int i = 1; i < argc; ++i)
{
ssArguments << argv[i] << " ";
std::cout << argv[i] << " ";
}
// Parse arguments
std::string imageFileName;
std::string maskFileName;
unsigned int patchHalfWidth = 0;
unsigned int numberOfKNN = 0;
unsigned int binsPerChannel = 0;
std::string outputFileName;
ssArguments >> imageFileName >> maskFileName >> patchHalfWidth >> numberOfKNN >> binsPerChannel >> outputFileName;
// Output arguments
std::cout << "Reading image: " << imageFileName << std::endl;
std::cout << "Reading mask: " << maskFileName << std::endl;
std::cout << "Patch half width: " << patchHalfWidth << std::endl;
std::cout << "numberOfKNN: " << numberOfKNN << std::endl;
std::cout << "Output: " << outputFileName << std::endl;
// typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> OriginalImageType; // This doesn't allow for direct "a - b" pixel comparisons, because (100 - 150) or similar will underflow!
// typedef itk::Image<itk::CovariantVector<float, 3>, 2> OriginalImageType; // This is quite slow
typedef itk::Image<itk::CovariantVector<int, 3>, 2> OriginalImageType;
// typedef itk::Image<itk::CovariantVector<short, 3>, 2> OriginalImageType; // Can't use this (signed range: -32768 to 32767 (not high enough, needs to handle 255*255 = 65025) )
typedef itk::ImageFileReader<OriginalImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFileName);
imageReader->Update();
OriginalImageType* originalImage = imageReader->GetOutput();
ITKHelpers::WriteRGBImage(originalImage, "OriginalImage.png");
ITKHelpers::WriteImage(originalImage, "OriginalImage.mha");
itk::ImageRegion<2> fullRegion = originalImage->GetLargestPossibleRegion();
// ImageType::Pointer image = ImageType::New();
// ITKHelpers::DeepCopy(imageReader->GetOutput(), image.GetPointer());
// Convert the image to HSV
typedef itk::Image<itk::CovariantVector<float, 3>, 2> HSVImageType;
HSVImageType::Pointer hsvImage = HSVImageType::New();
// ITKVTKHelpers::ConvertRGBtoHSV(image.GetPointer(), hsvImage.GetPointer());
ITKVTKHelpers::ConvertRGBtoHSV(originalImage, hsvImage.GetPointer());
ITKHelpers::WriteImage(hsvImage.GetPointer(), "HSVImage.mha");
// Read the mask
Mask::Pointer mask = Mask::New();
mask->Read(maskFileName);
ITKHelpers::WriteImage(mask.GetPointer(), "Mask.mha");
InpaintingHistogram(originalImage, mask, patchHalfWidth, numberOfKNN, binsPerChannel);
// If the output filename is a png file, then use the RGBImage writer so that it is first
// casted to unsigned char. Otherwise, write the file directly.
if(Helpers::GetFileExtension(outputFileName) == "png")
{
ITKHelpers::WriteRGBImage(originalImage, outputFileName);
}
else
{
ITKHelpers::WriteImage(originalImage, outputFileName);
}
return EXIT_SUCCESS;
}