/// <summary>
/// Reduce noise using conservative smoothing.
/// </summary>
/// <param name="bitmap">The bitmap.</param>
public static Bitmap Noise(this Bitmap bitmap) {
if ((bitmap = bitmap.Channel()) != null) {
var conservativeSmoothing = new ConservativeSmoothing();
conservativeSmoothing.ApplyInPlace(bitmap);
}
return bitmap;
}
private void button18_Click(object sender, EventArgs e) /// Extract Watermark At Once
{
if(dwtTypeValue2.Text == "Haar")
{
GUIStart("Extracting Watermark...");
#region Training HMM and Detection
/// Detection
OpenFileDialog ofd = new OpenFileDialog();
ofd.Title = "Select a key accordingly";
ofd.InitialDirectory = @"F:\College\Semester 8\TA2\TugasAkhir1\TugasAkhir1\Key";
if (ofd.ShowDialog() == DialogResult.OK)
{
StreamReader objstream = new StreamReader(ofd.FileName);
string[] lines = objstream.ReadToEnd().Split(new char[] { '\n' });
int hostheight = Convert.ToInt32(lines[1]);
int hostwidth = Convert.ToInt32(lines[2]);
int NumOfTrees = Convert.ToInt32(lines[7]);
KeyFileName = ofd.FileName;
/// Get PNSeq
List<int> PNSeq = new List<int>();
for (int i = 9; i < lines.Length - 1; i++)
{
PNSeq.Add(Convert.ToInt32(lines[i]));
}
//GUIStart("Training HMM Model...");
//transformedImage.Image = DWT.TransformDWT(true, false, 2, OriginalImage);
///For Wavelet Coefficients Extraction
Bitmap b = new Bitmap(transformedImage.Image);
IMatrixR = ImageProcessing.ConvertToMatrix2(b).Item1;
IMatrixG = ImageProcessing.ConvertToMatrix2(b).Item2;
IMatrixB = ImageProcessing.ConvertToMatrix2(b).Item3;
double[,] ArrayImage = IMatrixG; //Embedding in Green
//Watermarked_Wavelet_Coefficients = Haar.WaveletCoeff(ArrayImage, true, 2);
RedWatermarked_Wavelet_Coefficients = Haar.WaveletCoeff(IMatrixR, true, 2);
GreenWatermarked_Wavelet_Coefficients = Haar.WaveletCoeff(IMatrixG, true, 2);
BlueWatermarked_Wavelet_Coefficients = Haar.WaveletCoeff(IMatrixB, true, 2);
int NumOfScale2 = ((hostheight * hostwidth) / 16) * 3;
Image decomposed = Haar.TransformDWT(true, false, 2, new Bitmap(transformedImage.Image)).Item4;
//RedExtractedWatermark = Extract.BaumWelchDetectionRGB(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq , "red"/*, rootpmf, transition, variances*/);
//GreenExtractedWatermark = Extract.BaumWelchDetectionRGB(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green" /*, rootpmf, transition, variances*/);
//BlueExtractedWatermark = Extract.BaumWelchDetectionRGB(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "blue" /*, rootpmf, transition, variances*/);
string subband = subbandValue2.Text;
double embed_constant = Convert.ToDouble(embedConstantValue2.Text);
if (HVSValue.Text == "Xie Model")
{
RedExtractedWatermark = Extract.BaumWelchDetectionInLH_2(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Red", subband, embed_constant);
GreenExtractedWatermark = Extract.BaumWelchDetectionInLH_2(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green", subband, embed_constant);
BlueExtractedWatermark = Extract.BaumWelchDetectionInLH_2(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Blue", subband, embed_constant);
}
else
{
RedExtractedWatermark = Extract.BaumWelchDetectionInLH_22(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Red", subband, embed_constant);
GreenExtractedWatermark = Extract.BaumWelchDetectionInLH_22(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green", subband, embed_constant);
BlueExtractedWatermark = Extract.BaumWelchDetectionInLH_22(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Blue", subband, embed_constant);
}
}
else
{
MessageBox.Show("Select Key accordingly first!", "Incomplete Procedure Detected", MessageBoxButtons.OK);
}
#endregion
#region Extraction
if (KeyFileName != null)
{
GUIStart("Extracting Watermark...");
List<int> PNSeq = new List<int>();
StreamReader objstream = new StreamReader(KeyFileName);
string[] lines = objstream.ReadToEnd().Split(new char[] { '\n' });
int height = Convert.ToInt32(lines[4]);
int width = Convert.ToInt32(lines[5]);
int NumOfTrees = Convert.ToInt32(lines[7]);
for (int i = 9; i < lines.Length - 1; i++)
{
PNSeq.Add(Convert.ToInt32(lines[i]));
}
#region Extracting Image in Red
/////Not using 15 bit mapping
//Bitmap redbmp = ImageProcessing.ConvertListToWatermark2(RedExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter = new ConservativeSmoothing();
//filter.ApplyInPlace(redbmp);
//extractedImageRed.Image = redbmp;
#endregion
#region Extraction Image in Green
/////Not using 15 bit mapping
//Bitmap greenbmp = ImageProcessing.ConvertListToWatermark2(GreenExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter2 = new ConservativeSmoothing();
//filter2.ApplyInPlace(greenbmp);
//extractedImageGreen.Image = greenbmp;
#endregion
#region Extraction Image in Blue
/////Not using 15 bit mapping
//Bitmap bluebmp = ImageProcessing.ConvertListToWatermark2(BlueExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter3 = new ConservativeSmoothing();
//filter3.ApplyInPlace(greenbmp);
//extractedImageBlue.Image = bluebmp;
#endregion
#region Get Final Result
double[] finalresult = Extract.FinalResult(RedExtractedWatermark, GreenExtractedWatermark, BlueExtractedWatermark);
Bitmap finalbmp = ImageProcessing.ConvertListToWatermark2(finalresult, height, width);
ConservativeSmoothing filter4 = new ConservativeSmoothing();
filter4.ApplyInPlace(finalbmp);
FinalResult.Image = finalbmp;
#endregion
FResult = finalresult;
if (watermarkImage.Image != null && Real_Watermark!=null)
{
#region Red BER Calculation
/// Test
int counter = 0;
for (int i = 0; i < RedExtractedWatermark.Length; i++)
{
if (RedExtractedWatermark[i] == Real_Watermark[i])
{
counter++;
}
}
double akurasi = ((double)counter / (double)RedExtractedWatermark.Length) * 100;
double BER = 100 - akurasi;
//bertxt.Text += "> " + Math.Round(BER, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//RedextractedBERtxt.Text = Math.Round(BER, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Green BER Calculation
/// Test
int counter2 = 0;
for (int i = 0; i < GreenExtractedWatermark.Length; i++)
{
if (GreenExtractedWatermark[i] == Real_Watermark[i])
{
counter2++;
}
}
double akurasi2 = ((double)counter2 / (double)GreenExtractedWatermark.Length) * 100;
double BER2 = 100 - akurasi2;
//bertxt.Text += "> " + Math.Round(BER2, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//GreenextractedBERtxt.Text = Math.Round(BER2, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Blue BER Calculation
/// Test
int counter3 = 0;
for (int i = 0; i < BlueExtractedWatermark.Length; i++)
{
if (BlueExtractedWatermark[i] == Real_Watermark[i])
{
counter3++;
}
}
double akurasi3 = ((double)counter3 / (double)BlueExtractedWatermark.Length) * 100;
double BER3 = 100 - akurasi3;
//bertxt.Text += "> " + Math.Round(BER3, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//BlueextractedBERtxt.Text = Math.Round(BER3, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Final BER Calculation
/// Test
int counter4 = 0;
for (int i = 0; i < finalresult.Length; i++)
{
if (finalresult[i] == Real_Watermark[i])
{
counter4++;
}
}
double akurasi4 = ((double)counter4 / (double)finalresult.Length) * 100;
double BER4 = 100 - akurasi4;
bertxt.Text += "> " + Math.Round(BER4, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
finalBerValue.Text = Math.Round(BER4, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
}
GUIEnd("Watermark Extracted!", 0, 0, 0);
}
else
{
MessageBox.Show("Train and Detect Watermark first!", "Incomplete Procedure Detected", MessageBoxButtons.OK);
}
#endregion
GUIEnd("Watermark Extracted!", 0, 0, 0);
}
else if(dwtTypeValue2.Text == "Db2")
{
GUIStart("Extracting Watermark...");
#region Training HMM and Detection
/// Detection
OpenFileDialog ofd = new OpenFileDialog();
ofd.Title = "Select a key accordingly";
ofd.InitialDirectory = @"F:\College\Semester 8\TA2\TugasAkhir1\TugasAkhir1\Key";
if (ofd.ShowDialog() == DialogResult.OK)
{
StreamReader objstream = new StreamReader(ofd.FileName);
string[] lines = objstream.ReadToEnd().Split(new char[] { '\n' });
int hostheight = Convert.ToInt32(lines[1]);
int hostwidth = Convert.ToInt32(lines[2]);
int NumOfTrees = Convert.ToInt32(lines[7]);
KeyFileName = ofd.FileName;
/// Get PNSeq
List<int> PNSeq = new List<int>();
for (int i = 9; i < lines.Length - 1; i++)
{
PNSeq.Add(Convert.ToInt32(lines[i]));
}
GUIStart("Training HMM Model...");
//transformedImage.Image = DWT.TransformDWT(true, false, 2, OriginalImage);
///For Wavelet Coefficients Extraction
Bitmap b = new Bitmap(transformedImage.Image);
IMatrixR = ImageProcessing.ConvertToMatrix2(b).Item1;
IMatrixG = ImageProcessing.ConvertToMatrix2(b).Item2;
IMatrixB = ImageProcessing.ConvertToMatrix2(b).Item3;
double[,] ArrayImage = IMatrixG; //Embedding in Green
//Watermarked_Wavelet_Coefficients = Haar.WaveletCoeff(ArrayImage, true, 2);
RedWatermarked_Wavelet_Coefficients = Daubechies2.WaveletCoeff(IMatrixR, true, 2);
GreenWatermarked_Wavelet_Coefficients = Daubechies2.WaveletCoeff(IMatrixG, true, 2);
BlueWatermarked_Wavelet_Coefficients = Daubechies2.WaveletCoeff(IMatrixB, true, 2);
int NumOfScale2 = ((hostheight * hostwidth) / 16) * 3;
Image decomposed = Haar.TransformDWT(true, false, 2, new Bitmap(transformedImage.Image)).Item4;
//RedExtractedWatermark = Extract.BaumWelchDetectionRGB(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq , "red"/*, rootpmf, transition, variances*/);
//GreenExtractedWatermark = Extract.BaumWelchDetectionRGB(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green" /*, rootpmf, transition, variances*/);
//BlueExtractedWatermark = Extract.BaumWelchDetectionRGB(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "blue" /*, rootpmf, transition, variances*/);
string subband = subbandValue2.Text;
double embed_constant = Convert.ToDouble(embedConstantValue2.Text);
if (HVSValue.Text == "Xie Model")
{
RedExtractedWatermark = Extract.BaumWelchDetectionInLH_2(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Red", subband, embed_constant);
GreenExtractedWatermark = Extract.BaumWelchDetectionInLH_2(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green", subband, embed_constant);
BlueExtractedWatermark = Extract.BaumWelchDetectionInLH_2(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Blue", subband, embed_constant);
}
else
{
RedExtractedWatermark = Extract.BaumWelchDetectionInLH_22(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Red", subband, embed_constant);
GreenExtractedWatermark = Extract.BaumWelchDetectionInLH_22(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green", subband, embed_constant);
BlueExtractedWatermark = Extract.BaumWelchDetectionInLH_22(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Blue", subband, embed_constant);
}
}
else
{
MessageBox.Show("Select Key accordingly first!", "Incomplete Procedure Detected", MessageBoxButtons.OK);
}
#endregion
#region Extraction
if (KeyFileName != null)
{
GUIStart("Extracting Watermark...");
List<int> PNSeq = new List<int>();
StreamReader objstream = new StreamReader(KeyFileName);
string[] lines = objstream.ReadToEnd().Split(new char[] { '\n' });
int height = Convert.ToInt32(lines[4]);
int width = Convert.ToInt32(lines[5]);
int NumOfTrees = Convert.ToInt32(lines[7]);
for (int i = 9; i < lines.Length - 1; i++)
{
PNSeq.Add(Convert.ToInt32(lines[i]));
}
#region Extracting Image in Red
/////Not using 15 bit mapping
//Bitmap redbmp = ImageProcessing.ConvertListToWatermark2(RedExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter = new ConservativeSmoothing();
//filter.ApplyInPlace(redbmp);
//extractedImageRed.Image = redbmp;
#endregion
#region Extraction Image in Green
/////Not using 15 bit mapping
//Bitmap greenbmp = ImageProcessing.ConvertListToWatermark2(GreenExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter2 = new ConservativeSmoothing();
//filter2.ApplyInPlace(greenbmp);
//extractedImageGreen.Image = greenbmp;
#endregion
#region Extraction Image in Blue
/////Not using 15 bit mapping
//Bitmap bluebmp = ImageProcessing.ConvertListToWatermark2(BlueExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter3 = new ConservativeSmoothing();
//filter3.ApplyInPlace(greenbmp);
//extractedImageBlue.Image = bluebmp;
#endregion
#region Get Final Result
double[] finalresult = Extract.FinalResult(RedExtractedWatermark, GreenExtractedWatermark, BlueExtractedWatermark);
Bitmap finalbmp = ImageProcessing.ConvertListToWatermark2(finalresult, height, width);
ConservativeSmoothing filter4 = new ConservativeSmoothing();
filter4.ApplyInPlace(finalbmp);
FinalResult.Image = finalbmp;
#endregion
FResult = finalresult;
if (watermarkImage.Image != null && Real_Watermark != null)
{
#region Red BER Calculation
/// Test
int counter = 0;
for (int i = 0; i < RedExtractedWatermark.Length; i++)
{
if (RedExtractedWatermark[i] == Real_Watermark[i])
{
counter++;
}
}
double akurasi = ((double)counter / (double)RedExtractedWatermark.Length) * 100;
double BER = 100 - akurasi;
//bertxt.Text += "> " + Math.Round(BER, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//RedextractedBERtxt.Text = Math.Round(BER, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Green BER Calculation
/// Test
int counter2 = 0;
for (int i = 0; i < GreenExtractedWatermark.Length; i++)
{
if (GreenExtractedWatermark[i] == Real_Watermark[i])
{
counter2++;
}
}
double akurasi2 = ((double)counter2 / (double)GreenExtractedWatermark.Length) * 100;
double BER2 = 100 - akurasi2;
//bertxt.Text += "> " + Math.Round(BER2, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//GreenextractedBERtxt.Text = Math.Round(BER2, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Blue BER Calculation
/// Test
int counter3 = 0;
for (int i = 0; i < BlueExtractedWatermark.Length; i++)
{
if (BlueExtractedWatermark[i] == Real_Watermark[i])
{
counter3++;
}
}
double akurasi3 = ((double)counter3 / (double)BlueExtractedWatermark.Length) * 100;
double BER3 = 100 - akurasi3;
//bertxt.Text += "> " + Math.Round(BER3, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//BlueextractedBERtxt.Text = Math.Round(BER3, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Final BER Calculation
/// Test
int counter4 = 0;
for (int i = 0; i < finalresult.Length; i++)
{
if (finalresult[i] == Real_Watermark[i])
{
counter4++;
}
}
double akurasi4 = ((double)counter4 / (double)finalresult.Length) * 100;
double BER4 = 100 - akurasi4;
bertxt.Text += "> " + Math.Round(BER4, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
finalBerValue.Text = Math.Round(BER4, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
}
GUIEnd("Watermark Extracted!", 0, 0, 0);
}
else
{
MessageBox.Show("Train and Detect Watermark first!", "Incomplete Procedure Detected", MessageBoxButtons.OK);
}
#endregion
GUIEnd("Watermark Extracted!", 0, 0, 0);
}
else
{
GUIStart("Extracting Watermark...");
#region Training HMM and Detection
/// Detection
OpenFileDialog ofd = new OpenFileDialog();
ofd.Title = "Select a key accordingly";
ofd.InitialDirectory = @"F:\College\Semester 8\TA2\TugasAkhir1\TugasAkhir1\Key";
if (ofd.ShowDialog() == DialogResult.OK)
{
StreamReader objstream = new StreamReader(ofd.FileName);
string[] lines = objstream.ReadToEnd().Split(new char[] { '\n' });
int hostheight = Convert.ToInt32(lines[1]);
int hostwidth = Convert.ToInt32(lines[2]);
int NumOfTrees = Convert.ToInt32(lines[7]);
KeyFileName = ofd.FileName;
/// Get PNSeq
List<int> PNSeq = new List<int>();
for (int i = 9; i < lines.Length - 1; i++)
{
PNSeq.Add(Convert.ToInt32(lines[i]));
}
GUIStart("Training HMM Model...");
//transformedImage.Image = DWT.TransformDWT(true, false, 2, OriginalImage);
///For Wavelet Coefficients Extraction
Bitmap b = new Bitmap(transformedImage.Image);
IMatrixR = ImageProcessing.ConvertToMatrix2(b).Item1;
IMatrixG = ImageProcessing.ConvertToMatrix2(b).Item2;
IMatrixB = ImageProcessing.ConvertToMatrix2(b).Item3;
double[,] ArrayImage = IMatrixG; //Embedding in Green
//Watermarked_Wavelet_Coefficients = Haar.WaveletCoeff(ArrayImage, true, 2);
RedWatermarked_Wavelet_Coefficients = Daubechies3.WaveletCoeff(IMatrixR, true, 2);
GreenWatermarked_Wavelet_Coefficients = Daubechies3.WaveletCoeff(IMatrixG, true, 2);
BlueWatermarked_Wavelet_Coefficients = Daubechies3.WaveletCoeff(IMatrixB, true, 2);
int NumOfScale2 = ((hostheight * hostwidth) / 16) * 3;
Image decomposed = Haar.TransformDWT(true, false, 2, new Bitmap(transformedImage.Image)).Item4;
//RedExtractedWatermark = Extract.BaumWelchDetectionRGB(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq , "red"/*, rootpmf, transition, variances*/);
//GreenExtractedWatermark = Extract.BaumWelchDetectionRGB(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green" /*, rootpmf, transition, variances*/);
//BlueExtractedWatermark = Extract.BaumWelchDetectionRGB(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "blue" /*, rootpmf, transition, variances*/);
string subband = subbandValue2.Text;
double embed_constant = Convert.ToDouble(embedConstantValue2.Text);
if (HVSValue.Text == "Xie Model")
{
RedExtractedWatermark = Extract.BaumWelchDetectionInLH_2(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Red", subband, embed_constant);
GreenExtractedWatermark = Extract.BaumWelchDetectionInLH_2(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green", subband, embed_constant);
BlueExtractedWatermark = Extract.BaumWelchDetectionInLH_2(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Blue", subband, embed_constant);
}
else
{
RedExtractedWatermark = Extract.BaumWelchDetectionInLH_22(RedWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Red", subband, embed_constant);
GreenExtractedWatermark = Extract.BaumWelchDetectionInLH_22(GreenWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "green", subband, embed_constant);
BlueExtractedWatermark = Extract.BaumWelchDetectionInLH_22(BlueWatermarked_Wavelet_Coefficients, decomposed, NumOfScale2, NumOfTrees, PNSeq, "Blue", subband, embed_constant);
}
}
else
{
MessageBox.Show("Select Key accordingly first!", "Incomplete Procedure Detected", MessageBoxButtons.OK);
}
#endregion
#region Extraction
if (KeyFileName != null)
{
GUIStart("Extracting Watermark...");
List<int> PNSeq = new List<int>();
StreamReader objstream = new StreamReader(KeyFileName);
string[] lines = objstream.ReadToEnd().Split(new char[] { '\n' });
int height = Convert.ToInt32(lines[4]);
int width = Convert.ToInt32(lines[5]);
int NumOfTrees = Convert.ToInt32(lines[7]);
for (int i = 9; i < lines.Length - 1; i++)
{
PNSeq.Add(Convert.ToInt32(lines[i]));
}
#region Extracting Image in Red
/////Not using 15 bit mapping
//Bitmap redbmp = ImageProcessing.ConvertListToWatermark2(RedExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter = new ConservativeSmoothing();
//filter.ApplyInPlace(redbmp);
//extractedImageRed.Image = redbmp;
#endregion
#region Extraction Image in Green
/////Not using 15 bit mapping
//Bitmap greenbmp = ImageProcessing.ConvertListToWatermark2(GreenExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter2 = new ConservativeSmoothing();
//filter2.ApplyInPlace(greenbmp);
//extractedImageGreen.Image = greenbmp;
#endregion
#region Extraction Image in Blue
/////Not using 15 bit mapping
//Bitmap bluebmp = ImageProcessing.ConvertListToWatermark2(BlueExtractedWatermark, height, width);
////watermarkImage.Image = bmp;
////Bitmap bmp = new Bitmap(watermarkImage.Image);
//ConservativeSmoothing filter3 = new ConservativeSmoothing();
//filter3.ApplyInPlace(greenbmp);
//extractedImageBlue.Image = bluebmp;
#endregion
#region Get Final Result
double[] finalresult = Extract.FinalResult(RedExtractedWatermark, GreenExtractedWatermark, BlueExtractedWatermark);
Bitmap finalbmp = ImageProcessing.ConvertListToWatermark2(finalresult, height, width);
ConservativeSmoothing filter4 = new ConservativeSmoothing();
filter4.ApplyInPlace(finalbmp);
FinalResult.Image = finalbmp;
#endregion
FResult = finalresult;
if (watermarkImage.Image != null && Real_Watermark != null)
{
#region Red BER Calculation
/// Test
int counter = 0;
for (int i = 0; i < RedExtractedWatermark.Length; i++)
{
if (RedExtractedWatermark[i] == Real_Watermark[i])
{
counter++;
}
}
double akurasi = ((double)counter / (double)RedExtractedWatermark.Length) * 100;
double BER = 100 - akurasi;
//bertxt.Text += "> " + Math.Round(BER, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//RedextractedBERtxt.Text = Math.Round(BER, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Green BER Calculation
/// Test
int counter2 = 0;
for (int i = 0; i < GreenExtractedWatermark.Length; i++)
{
if (GreenExtractedWatermark[i] == Real_Watermark[i])
{
counter2++;
}
}
double akurasi2 = ((double)counter2 / (double)GreenExtractedWatermark.Length) * 100;
double BER2 = 100 - akurasi2;
//bertxt.Text += "> " + Math.Round(BER2, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//GreenextractedBERtxt.Text = Math.Round(BER2, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Blue BER Calculation
/// Test
int counter3 = 0;
for (int i = 0; i < BlueExtractedWatermark.Length; i++)
{
if (BlueExtractedWatermark[i] == Real_Watermark[i])
{
counter3++;
}
}
double akurasi3 = ((double)counter3 / (double)BlueExtractedWatermark.Length) * 100;
double BER3 = 100 - akurasi3;
//bertxt.Text += "> " + Math.Round(BER3, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
//BlueextractedBERtxt.Text = Math.Round(BER3, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
#region Final BER Calculation
/// Test
int counter4 = 0;
for (int i = 0; i < finalresult.Length; i++)
{
if (finalresult[i] == Real_Watermark[i])
{
counter4++;
}
}
double akurasi4 = ((double)counter4 / (double)finalresult.Length) * 100;
double BER4 = 100 - akurasi4;
bertxt.Text += "> " + Math.Round(BER4, 2) + " %" + "\n";
//double BER = Statistic.BER(new Bitmap(watermarkImage.Image), new Bitmap(extractedImageGreen.Image));
finalBerValue.Text = Math.Round(BER4, 2).ToString();
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
#endregion
}
GUIEnd("Watermark Extracted!", 0, 0, 0);
}
else
{
MessageBox.Show("Train and Detect Watermark first!", "Incomplete Procedure Detected", MessageBoxButtons.OK);
}
#endregion
GUIEnd("Watermark Extracted!", 0, 0, 0);
}
}
private void button17_Click(object sender, EventArgs e)
{
if (KeyFileName != null)
{
GUIStart("Extracting Watermark...");
List<int> PNSeq = new List<int>();
StreamReader objstream = new StreamReader(KeyFileName);
string[] lines = objstream.ReadToEnd().Split(new char[] { '\n' });
int height = Convert.ToInt32(lines[4]);
int width = Convert.ToInt32(lines[5]);
int NumOfTrees = Convert.ToInt32(lines[7]);
for (int i = 9; i < lines.Length - 1; i++)
{
PNSeq.Add(Convert.ToInt32(lines[i]));
}
#region Extracting Image
///Not using 15 bit mapping
Bitmap bmp = ImageProcessing.ConvertListToWatermark2(ExtractedWatermark, height, width);
//watermarkImage.Image = bmp;
//Bitmap bmp = new Bitmap(watermarkImage.Image);
ConservativeSmoothing filter = new ConservativeSmoothing();
filter.ApplyInPlace(bmp);
//extractedImageRed.Image = bmp;
#endregion
/// Test
int counter = 0;
for (int i = 0; i < ExtractedWatermark.Length; i++)
{
if(ExtractedWatermark[i] == Real_Watermark[i])
{
counter++;
}
}
double akurasi = ((double)counter/(double)ExtractedWatermark.Length)*100;
double BER = 100 - akurasi;
bertxt.Text += Math.Round(BER,2)+"\n";
//MessageBox.Show("Akurasi: " + BER, "Succeed!", MessageBoxButtons.OK);
GUIEnd("Watermark Extracted!", 0, 0, 0);
}
else
{
MessageBox.Show("Train and Detect Watermark first!", "Incomplete Procedure Detected", MessageBoxButtons.OK);
}
}
/// <summary>
/// Reduce noise using conservative smoothing.
/// </summary>
public static Bitmap Noise(this Bitmap Bitmap)
{
// Convert grayscale to RGB colour space.
if ((Bitmap = Bitmap.Channel()) != null) {
// Initialize a new instance of the ConservativeSmoothing class.
var ConservativeSmoothing = new ConservativeSmoothing();
// Reduce noise while preserving detail.
ConservativeSmoothing.ApplyInPlace(Bitmap);
}
// Return the bitmap.
return Bitmap;
}
