private void unsharp_button_Click(object sender, EventArgs e)
{
g = this.CreateGraphics();
g.Clear(this.BackColor);
int mask_size = Convert.ToInt32(unsharp_mask_size_textBox.Text);
double sigma = Convert.ToDouble(unsharp_sigma_textBox.Text);
double k = Convert.ToDouble(unsharp_k_textBox.Text);
// #1 Smooth the original image using Gaussian filter [Option1]
int filter_width = mask_size;
int filter_height = mask_size;
post_process p = post_process.nothing;
// pic = op.linearFilter(op.padding(pic, filter_width, filter_height), op.gaussianFilter_1(mask_size, sigma), filter_width / 2, filter_height / 2, p);
// #2 Subtract the smoothed image from the original
// pic_3 is the original image
pic_3 = new Bitmap(filename);
//Tuple<int[], int> hist_data =
op.subtract(pic, pic_3, g);
// so that Mask im >> pic_3 , blurred >> pic_1 .
// #3 3. Add a weighted portion from the mask to the original image
// K × Mask(x,y)
//op.multiplication(pic_3, k);
pic = new Bitmap(filename);
pic = op.unsharp_add(pic, pic_3, k);
pic_3 = new Bitmap(filename);
g.DrawImage(pic_3, 650, 200, pic_3.Width, pic_3.Height);
g.DrawImage(pic, 50, 200, pic.Width, pic.Height);
pic.Save("d:\\IM\\unsharp.png");
}
private void edge_detection_button_Click(object sender, EventArgs e)
{
g = this.CreateGraphics();
g.Clear(this.BackColor);
int direction = Convert.ToInt32(direction_textBox.Text);
int filter_width = 3;
int filter_height = 3;
post_process p = post_process.normalization;
// pic = op.linearFilter(op.padding(pic, filter_width, filter_height), op.edgeDetection_filter(direction), filter_width / 2, filter_height / 2, p);
pic_2 = new Bitmap(filename);
g.DrawImage(pic_2, 650, 200, pic_2.Width, pic_2.Height);
g.DrawImage(pic, 50, 200, pic.Width, pic.Height);
pic.Save("d:\\IM\\edge.png");
}
private void laplacian_sharpening_button_Click(object sender, EventArgs e)
{
g = this.CreateGraphics();
g.Clear(this.BackColor);
int filter_width = 3;
int filter_height = 3;
post_process p = post_process.cutoff;
op.linearFilter(op.padding(pic, filter_width, filter_height), op.laplacian_filter(), filter_width / 2, filter_height / 2, p, g, 0);
//pic = op.laplacian_sharping(op.padding(pic, filter_width, filter_height), op.laplacian_filter());
pic_2 = new Bitmap(filename);
g.DrawImage(pic_2, 650, 200, pic_2.Width, pic_2.Height);
g.DrawImage(pic, 50, 200, pic.Width, pic.Height);
pic.Save("d:\\IM\\laplacian.png");
}
private void mean_filter_button_Click(object sender, EventArgs e)
{
g = this.CreateGraphics();
g.Clear(this.BackColor);
int origX = Convert.ToInt32(mean_origX_textBox.Text);
int origY = Convert.ToInt32(mean_origY_textBox.Text);
int filter_width = Convert.ToInt32(mean_width_textBox.Text);
int filter_height = Convert.ToInt32(mean_height_textBox.Text);
post_process p = post_process.nothing;
op.linearFilter(op.padding(pic, filter_width, filter_height), op.meanFilter(filter_width, filter_height), origX, origY, p, g, 0);
//pic_2 = new Bitmap(filename);
//g.DrawImage(pic_2, 650, 200, pic_2.Width, pic_2.Height);
//g.DrawImage(pic, 50, 200, pic.Width, pic.Height);
//pic.Save("d:\\IM\\mean_filter.png");
}
private void gaussian_filter_1_button_Click(object sender, EventArgs e)
{
g = this.CreateGraphics();
g.Clear(this.BackColor);
int mask_size = Convert.ToInt32(mask_size_1_textBox.Text);
double sigma = Convert.ToDouble(sigma_1_textBox.Text);
int filter_width = mask_size;
int filter_height = mask_size;
post_process p = post_process.nothing;
op.linearFilter(op.padding(pic, filter_width, filter_height), op.gaussianFilter_1(mask_size, sigma), filter_width / 2, filter_height / 2, p, g, 0);
/*
* pic_2 = new Bitmap(filename);
* g.DrawImage(pic_2, 650, 200, pic_2.Width, pic_2.Height);
* g.DrawImage(pic, 50, 200, pic.Width, pic.Height);
* pic.Save("d:\\IM\\gaussian_1.png");
* */
}
private void gaussian_filter_2_button_Click(object sender, EventArgs e)
{
g = this.CreateGraphics();
g.Clear(this.BackColor);
double sigma = Convert.ToDouble(sigma_2_textBox.Text);
//Compute Mask Size
int n = (int)(3.7 * sigma - 0.5);
double mask_size = 2 * n + 1;
int filter_width = (int)mask_size;
int filter_height = (int)mask_size;
post_process p = post_process.nothing;
op.linearFilter(op.padding(pic, filter_width, filter_height), op.gaussianFilter_2(sigma), filter_width / 2, filter_height / 2, p, g, 0);
/*
* pic_2 = new Bitmap(filename);
* g.DrawImage(pic_2, 650, 200, pic_2.Width, pic_2.Height);
* g.DrawImage(pic, 50, 200, pic.Width, pic.Height);
* pic.Save("d:\\IM\\gaussian_2.png");
* */
}