public static void ApplyAveragingFilterAndSave(
string sourceFilePath, byte[,] sourceImage, int filterSize)
{
byte[,] resultImage = ImageFiltering.ApplyAveragingFilter(sourceImage, filterSize);
string newFilePath = ProbA2.NewFilePath(sourceFilePath, $"AveragingFilter{filterSize}");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Averaging filter (size: {filterSize}) " +
$"applied and saved to \'{newFilePath}\'");
}
public static byte[,] AddRandomNoiseAndSave(
string sourceFilePath, byte[,] sourceImage, double noiseLevel)
{
byte[,] resultImage = Utility.AddRandomNoise(sourceImage, new Random(), noiseLevel);
string newFilePath = ProbA2.NewFilePath(
sourceFilePath, $"RandomNoise{noiseLevel}");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Random noise (level: {noiseLevel}) added " +
$"and saved to \'{newFilePath}\'");
return(resultImage);
}
public static byte[,] ApplyBilateralFilterAndSave(
string sourceFilePath, byte[,] sourceImage, int filterSize,
double sigma1, double sigma2, int times)
{
byte[,] resultImage = ImageFiltering.ApplyBilateralFilter(
sourceImage, filterSize, sigma1, sigma2);
string newFilePath = ProbA2.NewFilePath(
sourceFilePath, $"BilateralFilter{filterSize}-{sigma1}-{sigma2}-{times}");
Utility.SaveGrayscaleImage(resultImage, newFilePath);
Console.WriteLine($"Bilateral filter (size: {filterSize}) " +
$"applied and saved to \'{newFilePath}\'");
return(resultImage);
}
public static void Main(string[] args)
{
Console.Write("Input image file name: ");
string fileName = Console.ReadLine();
byte[,] noiseImage = Utility.LoadGrayscaleImage(fileName);
int imageWidth = noiseImage.GetLength(0);
int imageHeight = noiseImage.GetLength(1);
/*
* byte[,] noiseImage = ProbA2.AddShotNoiseAndSave(
* fileName, sourceImage, (int)(imageWidth * imageHeight * 0.05), 255.0);
* byte[,] noiseImage = ProbA2.AddRandomNoiseAndSave(fileName, sourceImage, 16.0);
*/
ProbA2.ApplyAveragingFilterAndSave(fileName, noiseImage, 5);
ProbA2.ApplyMedianFilterAndSave(fileName, noiseImage, 5);
byte[,] resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, noiseImage, 5, 5.0, 5.0, 1);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, resultImage, 5, 5.0, 5.0, 2);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, resultImage, 5, 5.0, 5.0, 3);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, noiseImage, 5, 10.0, 10.0, 1);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, resultImage, 5, 10.0, 10.0, 2);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, resultImage, 5, 10.0, 10.0, 3);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, noiseImage, 5, 15.0, 15.0, 1);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, resultImage, 5, 15.0, 15.0, 2);
resultImage = ProbA2.ApplyBilateralFilterAndSave(
fileName, resultImage, 5, 15.0, 15.0, 3);
Console.ReadKey();
}
