template<typename I, typename O> int denoiseNLMeans(std::string inputfile, EBitmapType inputtype, std::string outputfile, EBitmapType outputtype, int r = 3, int f = 1, Float k = 0.7, Float sigma = 0.1, bool dump = true) {
NLMeansDenoiser<I, O> *denoiser = new NLMeansDenoiser<I, O>(sigma, dump);
TBitmap<I> *input = new TBitmap<I>();
if (!input->loadBitmap(inputfile, inputtype)){
std::cout << "Input bitmap " << inputfile << " failed to load!\n";
std::cin.get();
return 0;
}
DenoiserInput<I> *dInput = new DenoiserInput<I>(outputfile);
dInput->addImageBlock(new TImageBlock<I>(Point2i(0., 0.), input->getSize(), 1, false, input));
DenoiserOutput<O> *dOutput = denoiser->denoise(dInput);
LOG(EInfo, "Denoising finished. Time taken = %d seconds", dOutput->getDenoiseDuration());
dumpMap(dOutput->getDenoisedImage()->getBitmap(), outputfile, outputtype);
input->unloadBitmap();
std::cin.get();
_CrtDumpMemoryLeaks(); // prints mem leaks
return 0;
}
template<typename I, typename O> int denoiseModifiedNLMeans(std::string inputfile, EBitmapType inputtype, std::string outputfile, EBitmapType outputtype, int r = 3, int f = 1, Float k = 0.7, Float sigma = 0.1, bool dump = true) {
ModifiedNLMeansDenoiser<I, O> *denoiser = new ModifiedNLMeansDenoiser<I, O>(r, f, k, sigma, dump);
TBitmap<I> *inputA = new TBitmap<I>;
//BitmapI *inputsppA = new BitmapI;
TBitmap<I> *inputsppA = new TBitmap<I>;
TBitmap<I> *inputvarA = new TBitmap<I>;
TBitmap<I> *inputvarsA = new TBitmap<I>;
TBitmap<I> *inputB = new TBitmap<I>;
//BitmapI *inputsppB = new BitmapI;
TBitmap<I> *inputsppB = new TBitmap<I>;
TBitmap<I> *inputvarB = new TBitmap<I>;
TBitmap<I> *inputvarsB = new TBitmap<I>;
Assert(inputA->loadBitmap(inputfile + "_A", inputtype), "Input bitmap A failed to load!");
Assert(inputsppA->loadBitmap(inputfile + "_spp_A", inputtype), "Input spp bitmap A failed to load!");
Assert(inputvarA->loadBitmap(inputfile + "_variance_A", inputtype), "Input variance bitmap A failed to load!");
Assert(inputvarsA->loadBitmap(inputfile + "_variance_square_A", inputtype), "Input variance square bitmap A failed to load!");
Assert(inputB->loadBitmap(inputfile + "_B", inputtype), "Input bitmap B failed to load!");
Assert(inputsppB->loadBitmap(inputfile + "_spp_B", inputtype), "Input spp bitmap B failed to load!");
Assert(inputvarsB->loadBitmap(inputfile + "_variance_square_B", inputtype), "Input variance square bitmap B failed to load!");
Assert(inputvarB->loadBitmap(inputfile + "_variance_B", inputtype), "Input variance bitmap B failed to load!");
DenoiserInput<I> *dInput = new DenoiserInput<I>(outputfile);
dInput->addImageBlock(new TImageBlock<I>(Point2i(0., 0.), inputA->getSize(), 1, false, inputA, inputsppA, inputvarA, inputvarsA));
dInput->addImageBlock(new TImageBlock<I>(Point2i(0., 0.), inputB->getSize(), 1, false, inputB, inputsppB, inputvarB, inputvarsB));
DenoiserOutput<O> *dOutput = denoiser->denoise(dInput);
LOG(EInfo, "Denoising finished. Time taken = %d seconds", dOutput->getDenoiseDuration());
dumpMap(dOutput->getDenoisedImage()->getBitmap(), outputfile, outputtype);
inputA->unloadBitmap();
inputsppA->unloadBitmap();
inputvarA->unloadBitmap();
inputvarsA->unloadBitmap();
inputB->unloadBitmap();
inputsppB->unloadBitmap();
inputvarB->unloadBitmap();
inputvarsB->unloadBitmap();
std::cin.get();
_CrtDumpMemoryLeaks(); // prints mem leaks
return 0;
}
template<typename I, typename O> int denoiseMLTNLMeans(std::string inputfile, EBitmapType inputtype, std::string outputfile, EBitmapType outputtype, int r = 3, int f = 1, Float k = 0.7, Float sigma = 0.1, int numinstances = 1, bool dump = true) {
MLTNLMeansDenoiser<I, O> *denoiser = new MLTNLMeansDenoiser<I, O>(r, f, k, sigma, numinstances, dump);
DenoiserInput<I> *dInput = new DenoiserInput<I>(outputfile);
// load bitmaps into DenoiserInput
for (int i = 1; i <= numinstances; ++i) {
TBitmap<I> *inputBitmap = new TBitmap<I> ;
std::string stri = std::to_string(i);
Assert(inputBitmap->loadBitmap(inputfile + "_" + stri, inputtype), "Input bitmap no."+ stri +" failed to load!");
dInput->addImageBlock(new TImageBlock<I>(Point2i(0., 0.), inputBitmap->getSize(), 1, false, inputBitmap));
}
DenoiserOutput<O> *dOutput = denoiser->denoise(dInput);
LOG(EInfo, "Denoising finished. Time taken = %d seconds", dOutput->getDenoiseDuration());
dumpMap(dOutput->getDenoisedImage()->getBitmap(), outputfile, outputtype);
for (int i = 0; i < numinstances; ++i) {
dInput->getImageBlocks()[i]->getBitmap()->unloadBitmap();
}
std::cin.get();
_CrtDumpMemoryLeaks(); // prints mem leaks
return 0;
}