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在C#中,可以使用System.Drawing命名空间中的Bitmap类来处理图像,并且可以利用图像增强策略来提升图像质量。以下是一些常见的图像增强策略:
public Bitmap Sharpen(Bitmap image)
{
Bitmap sharpenedImage = new Bitmap(image.Width, image.Height);
float[,] kernel = {
{ -1, -1, -1 },
{ -1, 9, -1 },
{ -1, -1, -1 }
};
for (int x = 1; x < image.Width - 1; x++)
{
for (int y = 1; y < image.Height - 1; y++)
{
float sum = 0;
for (int i = -1; i <= 1; i++)
{
for (int j = -1; j <= 1; j++)
{
Color pixel = image.GetPixel(x + i, y + j);
sum += kernel[i + 1, j + 1] * pixel.R;
}
}
sharpenedImage.SetPixel(x, y, Color.FromArgb((int)sum, (int)sum, (int)sum));
}
}
return sharpenedImage;
}
public Bitmap AdjustBrightness(Bitmap image, float brightness)
{
Bitmap adjustedImage = new Bitmap(image.Width, image.Height);
for (int x = 0; x < image.Width; x++)
{
for (int y = 0; y < image.Height; y++)
{
Color pixel = image.GetPixel(x, y);
int newR = (int)Math.Min(Math.Max(pixel.R * brightness, 0), 255);
int newG = (int)Math.Min(Math.Max(pixel.G * brightness, 0), 255);
int newB = (int)Math.Min(Math.Max(pixel.B * brightness, 0), 255);
adjustedImage.SetPixel(x, y, Color.FromArgb(newR, newG, newB));
}
}
return adjustedImage;
}
public Bitmap Smooth(Bitmap image)
{
Bitmap smoothedImage = new Bitmap(image.Width, image.Height);
for (int x = 1; x < image.Width - 1; x++)
{
for (int y = 1; y < image.Height - 1; y++)
{
int sumR = 0;
int sumG = 0;
int sumB = 0;
for (int i = -1; i <= 1; i++)
{
for (int j = -1; j <= 1; j++)
{
Color pixel = image.GetPixel(x + i, y + j);
sumR += pixel.R;
sumG += pixel.G;
sumB += pixel.B;
}
}
int newR = sumR / 9;
int newG = sumG / 9;
int newB = sumB / 9;
smoothedImage.SetPixel(x, y, Color.FromArgb(newR, newG, newB));
}
}
return smoothedImage;
}
以上只是一些简单的图像增强策略示例,实际中还可以结合不同的策略来提升图像质量。
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