private void button1_Click(object sender, EventArgs e)
{
OpenFileDialog dialog = openFileDialog1;
dialog.Title = "Open Image";
dialog.Filter = "Image files (*.jpg, *.jpeg, *.jpe, *.jfif, *.png) | *.jpg; *.jpeg; *.jpe; *.jfif; *.png";
if (dialog.ShowDialog() == DialogResult.OK)
{
Bitmap img3 = (Bitmap)Image.FromFile(dialog.FileName);
comparedImage = new PreviewImage((Bitmap)img3);
if (img3.Width == img.ViewedImage.Width && img3.Height == img.ViewedImage.Height)
{
img.Difference = true;
img = img - comparedImage;
img.RangeDifference();
img.Difference = false;
ViewImages();
}
}
}
public Bitmap updateImageContrast(int contrastValue)
{
contrast = contrastValue;
Bitmap contrastedImage = ImageProcessor.CopyImage(ColorisedImage);
double factor = (double)(259 * (contrastValue + 255)) / (double)(255 * (259 - contrastValue));
for (int r = 0; r < contrastedImage.Width; r++)
{
for (int c = 0; c < contrastedImage.Height; c++)
{
double red = contrastedImage.GetPixel(r, c).R;
double green = contrastedImage.GetPixel(r, c).G;
double blue = contrastedImage.GetPixel(r, c).B;
red = (int)(factor * (red - 128) + 128);
green = (int)(factor * (green - 128) + 128);
blue = (int)(factor * (blue - 128) + 128);
ImageProcessor.RangeColors(ref red, ref green, ref blue);
contrastedImage.SetPixel(r, c, Color.FromArgb(contrastedImage.GetPixel(r, c).A, (int)red, (int)green, (int)blue));
}
}
PreviewImage contrastedColoredImage = new PreviewImage(contrastedImage, true);
PreviewImage contrastedGreyImage = new PreviewImage(contrastedImage, false);
if (isColorised)
{
Mat = contrastedColoredImage.Mat;
GetViewedImage();
previewStages.Add(new PreviewState(stages, null, OriginalImage, ViewedImage, ColorisedImage, GrayscaleImage, CopyMat(), isColorised, brightness, contrast, saturation));
}
else
{
Mat = contrastedGreyImage.Mat;
GetViewedImage();
previewStages.Add(new PreviewState(stages, null, OriginalImage, ViewedImage, ColorisedImage, GrayscaleImage, CopyMat(), isColorised, brightness, contrast, saturation));
}
return(contrastedImage);
}
public Bitmap updateImageSaturation(int saturation)
{
this.saturation = saturation;
Bitmap saturatedImage = ImageProcessor.CopyImage(ColorisedImage);
for (int r = 0; r < saturatedImage.Width; r++)
{
for (int c = 0; c < saturatedImage.Height; c++)
{
int red = saturatedImage.GetPixel(r, c).R;
int green = saturatedImage.GetPixel(r, c).G;
int blue = saturatedImage.GetPixel(r, c).B;
double[] hsv = ImageProcessor.RGBToHSV(Color.FromArgb(red, green, blue));
hsv[1] += Math.Min(hsv[1], hsv[1] + saturation);
Color color = ImageProcessor.HSVToRGB(hsv);
saturatedImage.SetPixel(r, c, color);
}
}
PreviewImage saturatedColoredImage = new PreviewImage(saturatedImage, true);
PreviewImage saturatedGreyImage = new PreviewImage(saturatedImage, false);
if (isColorised)
{
Mat = saturatedColoredImage.Mat;
GetViewedImage();
previewStages.Add(new PreviewState(stages, null, OriginalImage, ViewedImage, ColorisedImage, GrayscaleImage, CopyMat(), isColorised, brightness, contrast, saturation));
}
else
{
Mat = saturatedGreyImage.Mat;
GetViewedImage();
previewStages.Add(new PreviewState(stages, null, OriginalImage, ViewedImage, ColorisedImage, GrayscaleImage, CopyMat(), isColorised, brightness, contrast, saturation));
}
return(saturatedImage);
}
private void applyFilterButton_Click(object sender, EventArgs e)
{
//pictureBox1.Image = nw.returnGraytoImage();
if (filterchosen != "" && !NoImage)
{
if (filterchosen.Contains("Sobel"))
{
Bitmap imgtmp = ImageProcessor.CopyImage(img.ViewedImage);
PreviewImage tmp = new PreviewImage(imgtmp);
img.filterImage(sobelv);
// tmp.filterImage(sobelh);
// img = img + tmp;
}
else if (filterchosen.Contains("Robert Cross"))
{
Bitmap imgtmp = ImageProcessor.CopyImage(img.ViewedImage);
PreviewImage tmp = new PreviewImage(imgtmp);
img.filterImage(RobertCrossH);
tmp.filterImage(RobertCrossV);
img = img + tmp;
}
else if (filterchosen.Contains("UnSharpen"))
{
Bitmap imgtmp = ImageProcessor.CopyImage(img.ViewedImage);
PreviewImage tmp = new PreviewImage(imgtmp);
Bitmap imgtmp2 = ImageProcessor.CopyImage(img.ViewedImage);
PreviewImage tmp2 = new PreviewImage(imgtmp2);
tmp.filterImage(blur);
tmp2 = tmp2 - tmp;
int k = 5;
if (!filterchosen.Contains("HighBoost"))
{
k = 1;
}
for (int i = 0; i < k; i++)
{
img = img + tmp2;
}
}
else if (filterchosen == "Average Noise Reduction")
{
List <PreviewImage> noisyImages = new List <PreviewImage>();
///fill list
Bitmap newImage = ImageProcessor.CopyImage(img.ViewedImage);
for (int r = 0; r < img.ViewedImage.Width; r++)
{
for (int c = 0; c < img.ViewedImage.Height; c++)
{
int redTotal = 0, greenTotal = 0, blueTotal = 0;
for (int i = 0; i < noisyImages.Count; i++)
{
Color color = noisyImages[i].ViewedImage.GetPixel(r, c);
redTotal += color.R;
greenTotal += color.G;
blueTotal += color.B;
}
redTotal /= noisyImages.Count;
greenTotal /= noisyImages.Count;
blueTotal /= noisyImages.Count;
newImage.SetPixel(r, c, Color.FromArgb(redTotal, greenTotal, blueTotal));
}
}
PreviewImage newPrev = new PreviewImage(newImage, img.isColorised);
img.ViewedImage = newPrev.ViewedImage;
img.Mat = newPrev.Mat;
img.GetViewedImage();
img.previewStages.Add(new PreviewState(img.stages, avgNoiseReduction, img.OriginalImage, img.ViewedImage, img.ColorisedImage, img.GrayscaleImage, img.MatOrigin, img.isColorised, img.brightness, img.contrast, img.saturation));
}
else if (filterchosen.Contains("Prewitt"))
{
Bitmap imgtmp = ImageProcessor.CopyImage(img.ViewedImage);
PreviewImage tmp = new PreviewImage(imgtmp);
img.filterImage(Pewitt);
tmp.filterImage(Pewitt2);
img = img + tmp;
}
else if (filterchosen.Contains("Cartoon"))
{
Bitmap imgtmp = ImageProcessor.CopyImage(img.ViewedImage);
Bitmap imgtmp2 = ImageProcessor.CopyImage(img.ViewedImage);
PreviewImage tmp = new PreviewImage(imgtmp);
PreviewImage tmp2 = new PreviewImage(imgtmp2);
for (int i = 0; i < 2; i++)
{
tmp.filterImage(Median);
tmp2.filterImage(Median);
}
tmp.filterImage(sobelh);
tmp2.filterImage(sobelv);
tmp = tmp + tmp2;
for (int i = 0; i < 6; i++)
{
img.filterImage(blur);
}
img = img - tmp;
ViewImages();
}
else
{
if (filterchosen == "Salt and Pepper")
{
saltAndPepper.randomUpdateFilter(img.ViewedImage.Width, img.ViewedImage.Height, 0, 256, false);
}
if (filterchosen == "Gaussian Noise")
{
gaussianNoise.randomUpdateFilter(img.ViewedImage.Width, img.ViewedImage.Height, 0, (0.1f * 0.5f), true);
}
img.filterImage(Filters[filterchosen]);
}
ViewImages();
}
}