/// <summary>
/// Processes the image.
/// </summary>
/// <param name="factory">The current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class containing
/// the image to process.</param>
/// <returns>
/// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class.
/// </returns>
public Image ProcessImage(ImageFactory factory)
{
Bitmap newImage = null;
Bitmap image = (Bitmap)factory.Image;
try
{
newImage = new Bitmap(image);
GaussianLayer gaussianLayer = this.DynamicParameter;
Convolution convolution = new Convolution(gaussianLayer.Sigma)
{
Threshold = gaussianLayer.Threshold
};
double[,] kernel = convolution.CreateGuassianSharpenFilter(gaussianLayer.Size);
newImage = convolution.ProcessKernel(newImage, kernel);
image.Dispose();
image = newImage;
}
catch (Exception ex)
{
if (newImage != null)
{
newImage.Dispose();
}
throw new ImageProcessingException("Error processing image with " + this.GetType().Name, ex);
}
return(image);
}
/// <summary>
/// Processes the image.
/// </summary>
/// <param name="factory">The the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class containing
/// the image to process.</param>
/// <returns>
/// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class.
/// </returns>
public Image ProcessImage(ImageFactory factory)
{
Bitmap newImage = null;
Bitmap image = (Bitmap)factory.Image;
try
{
newImage = new Bitmap(image);
GaussianLayer gaussianLayer = (GaussianLayer)this.DynamicParameter;
Convolution convolution = new Convolution(gaussianLayer.Sigma)
{
Threshold = gaussianLayer.Threshold
};
double[,] kernel = convolution.CreateGuassianBlurFilter(gaussianLayer.Size);
newImage = convolution.ProcessKernel(newImage, kernel);
image.Dispose();
image = newImage;
}
catch
{
if (newImage != null)
{
newImage.Dispose();
}
}
return(image);
}
/// <summary>
/// Uses a Gaussian kernel to sharpen the current image.
/// <remarks>
/// <para>
/// The sigma and threshold values applied to the kernel are
/// 1.4 and 0 respectively.
/// </para>
/// </remarks>
/// </summary>
/// <param name="size">
/// The size to set the Gaussian kernel to.
/// </param>
/// <returns>
/// The current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class.
/// </returns>
public ImageFactory GaussianSharpen(int size)
{
if (this.ShouldProcess && size > 0)
{
GaussianLayer layer = new GaussianLayer(size);
return(this.GaussianSharpen(layer));
}
return(this);
}
/// <summary>
/// Uses a Gaussian kernel to sharpen the current image.
/// </summary>
/// <param name="gaussianLayer">
/// The <see cref="T:ImageProcessor.Imaging.GaussianLayer"/> for applying sharpening and
/// blurring methods to an image.
/// </param>
/// <returns>
/// The current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class.
/// </returns>
public ImageFactory GaussianSharpen(GaussianLayer gaussianLayer)
{
if (this.ShouldProcess)
{
GaussianSharpen gaussianSharpen = new GaussianSharpen {
DynamicParameter = gaussianLayer
};
this.CurrentImageFormat.ApplyProcessor(gaussianSharpen.ProcessImage, this);
}
return(this);
}
/// <summary>
/// Uses a Gaussian kernel to blur the current image.
/// </summary>
/// <param name="gaussianLayer">
/// The <see cref="T:ImageProcessor.Imaging.GaussianLayer"/> for applying sharpening and
/// blurring methods to an image.
/// </param>
/// <returns>
/// The current instance of the <see cref="T:ImageProcessor.ImageFactory"/> class.
/// </returns>
public ImageFactory GaussianBlur(GaussianLayer gaussianLayer)
{
if (this.ShouldProcess)
{
GaussianBlur gaussianBlur = new GaussianBlur {
DynamicParameter = gaussianLayer
};
this.ApplyProcessor(gaussianBlur.ProcessImage);
}
return(this);
}
private Bitmap changeBlur(Image image, int blur) // Изменение размытия
{
if (blur > 0 & blur <= 100)
{
var factory = new ImageFactory(preserveExifData: true);
factory.Load(bitmap);
GaussianLayer layer = new GaussianLayer(blur / 4);
GaussianBlur blur1 = new GaussianBlur {
DynamicParameter = layer
};
return((Bitmap)blur1.ProcessImage(factory));
}
return((Bitmap)image);
}
/// <summary>
/// Processes the image.
/// </summary>
/// <param name="factory">The current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class containing
/// the image to process.</param>
/// <returns>
/// The processed image from the current instance of the <see cref="T:ImageProcessor.ImageFactory" /> class.
/// </returns>
public Image ProcessImage(ImageFactory factory)
{
Bitmap image = (Bitmap)factory.Image;
try
{
GaussianLayer gaussianLayer = this.DynamicParameter;
Convolution convolution = new Convolution(gaussianLayer.Sigma)
{
Threshold = gaussianLayer.Threshold
};
double[,] kernel = convolution.CreateGuassianSharpenFilter(gaussianLayer.Size);
return(convolution.ProcessKernel(image, kernel, factory.FixGamma));
}
catch (Exception ex)
{
throw new ImageProcessingException("Error processing image with " + this.GetType().Name, ex);
}
}
