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c#图像处理大全 2015最新版

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  • 分类:编程软件
  • 大小:1019KB
  • 语言: 中文
  • 环境: WinAll, Win7, win8
  • 更新:2024-11-13
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  • 系统: Windows Linux Mac Ubuntu
  • 软件类别: 国产软件 / 免费软件 / 编程辅助
  • 插件情况:
  • 相关链接: http://www.cr173.com

工程虽然老点,但里面的各种算法还是可以使用一下,很多图像的处理算法,自己写了一个C#图像处理的例子。这个DEMO的界面的有两个PictrueBox控件,用来显示图片,一个是源图片,一个是经过转换的目标图片,UI下面部分有一些按钮,每个按钮实现一个转换功能。这个DEMO允许用户拖一张图片到源PictureBox中,然后通过这些功能按钮实现图片的效果转换。这些功能有把图片变成黑白、底片、浮雕、锐化、柔化等效果。

效果图如下:




首先来一张运行效果图:

这个DEMO主要有以下几个机能点:
 图像处理
 PictureBox的拖拽。
 计算处理时间
 对图像进行缩放处理

1.图像处理

    首先说明一点,图像处理的算法不是我自己的想出来的,也没有必要去想,网上调查一下,很多的。所以算法是网是找的。在些声明一下。

  1.1 黑白效果

原理: 彩色图像处理成黑白效果通常有3种算法:
(1).最大值法: 使每个像素点的 R, G, B 值等于原像素点的 RGB (颜色值) 中最大的一个;
(2).平均值法: 使用每个像素点的 R,G,B值等于原像素点的RGB值的平均值;
(3).加权平均值法: 对每个像素点的 R, G, B值进行加权,R,G,B的系数分别是0.7,0.2,0.1。
    自认为第三种的效果是最好的。

  1.2 底片效果

    原理: GetPixel方法获得每一点像素的值, 然后再使用SetPixel方法将取反后的颜色值设置到对应的点。

  1.3 锐化效果

    原理:突出显示颜色值大(即形成形体边缘)的像素点。

  1.4 浮雕效果

    原理: 对图像像素点的像素值分别与相邻像素点的像素值相减后加上128, 然后将其作为新的像素点的值。

  1.5 柔化效果

    原理: 当前像素点与周围像素点的颜色差距较大时取其平均值。

2.PictureBox的拖拽

拖拽是写在UserControlPictureBox类中,该类继承于UserControl,里面有一个PictrueBox,相当于把图片显示,缩放,拖拽封装了。
C#的拖拽还是很简单的。主要用到DragEnter和DragDrop事件和DoDragDrop方法。
 DragEnter
在拖拽源被拖入到拖拽目标时触发,在这个事件处理函数中,要做的事情就是设置DragEventArgs 对象的Effect,这是一个DragDropEffects枚举值。具体请参见MSDN。
 DragDrop
在释放鼠标并且鼠标拖拽目标之内在时发生。这里面可以接受拖拽的数据。
 DoDragDrop
这个函数表示开始一个拖拽事件,一般是在MouseDown或者MouseMove中调用这个函数,这个函数会阻塞线程。

3.计算处理时间

这部分主要用到了QueryPerformanceCounter 和 QueryPerformanceFrequency API。这里会涉及到API与C#交互的问题。代码如下:

[csharp] view plaincopy

[DllImport("kernel32.dll")]  

private static extern bool QueryPerformanceCounter(ref long lpPerformanceCount);  

[DllImport("kernel32.dll")]  

private static extern bool QueryPerformanceFrequency(ref long lpFrequency);  

4.对图像进行缩放处理

这部分是也是写在UserControlPictureBox类中。由于用户拖入的图片尺寸可能很大,显示在PictrueBox中虽说可以进行缩放显示,但得到的Image对象还是原来图片你的尺寸,所以为了提高转换效率,就要对图片进行等比例缩放。核心代码如下:

[cpp] view plaincopy

Bitmap bitmap = new Bitmap(newWidth, newHeight, oldImage.PixelFormat);  

    Graphics g = Graphics.FromImage(bitmap);  

    g.Clear(Color.Transparent);  

    g.DrawImage(oldImage, new RectangleF(0, 0, newWidth, newHeight));  

return Image.FromHbitmap(bitmap.GetHbitmap());  

其中newWidth, newHeight是新的图片的尺寸,这两个值的得到很简单。

5.总体说明

界面上有很多按钮,其实每个按钮的事件处理程序都是一个,我在程序中定义了一个枚举:

[csharp] view plaincopy

public enum ImageEffect  

{  

    GrayScale   = 0,      // 黑白  

    Film        = 1,      // 底片  

    Relief      = 2,      // 浮雕  

    Soften      = 3,      // 柔化  

    Sharpen     = 4,      // 锐化  

    Canvas      = 5,      // 油画  

}  

在按钮处理程序中根据不同的按钮ID,给ImageEffectManager类的ChangeEffect方法传递不同的参数。


一、各种旋转、改变大小

注意:先要添加画图相关的using引用。

//向右旋转图像90°代码如下:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");//加载图像
g.FillRectangle(Brushes.White, this.ClientRectangle);//填充窗体背景为白色
Point[] destinationPoints = {
new Point(100, 0), // destination for upper-left point of original
new Point(100, 100),// destination for upper-right point of original
new Point(0, 0)}; // destination for lower-left point of original
g.DrawImage(bmp, destinationPoints);

}

//旋转图像180°代码如下:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");
g.FillRectangle(Brushes.White, this.ClientRectangle);
Point[] destinationPoints = {
new Point(0, 100), // destination for upper-left point of original
new Point(100, 100),// destination for upper-right point of original
new Point(0, 0)}; // destination for lower-left point of original
g.DrawImage(bmp, destinationPoints);

}

//图像切变代码:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");
g.FillRectangle(Brushes.White, this.ClientRectangle);
Point[] destinationPoints = {
new Point(0, 0), // destination for upper-left point of original
new Point(100, 0), // destination for upper-right point of original
new Point(50, 100)};// destination for lower-left point of original
g.DrawImage(bmp, destinationPoints);

}

//图像截取:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");
g.FillRectangle(Brushes.White, this.ClientRectangle);
Rectangle sr = new Rectangle(80, 60, 400, 400);//要截取的矩形区域
Rectangle dr = new Rectangle(0, 0, 200, 200);//要显示到Form的矩形区域
g.DrawImage(bmp, dr, sr, GraphicsUnit.Pixel);

}

//改变图像大小:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");
g.FillRectangle(Brushes.White, this.ClientRectangle);
int width = bmp.Width;
int height = bmp.Height;
// 改变图像大小使用低质量的模式
g.InterpolationMode = InterpolationMode.NearestNeighbor;
g.DrawImage(bmp, new Rectangle(10, 10, 120, 120), // source rectangle

new Rectangle(0, 0, width, height), // destination rectangle
GraphicsUnit.Pixel);
// 使用高质量模式
//g.CompositingQuality = CompositingQuality.HighSpeed;
g.InterpolationMode = InterpolationMode.HighQualityBicubic;
g.DrawImage(
bmp,
new Rectangle(130, 10, 120, 120), 
new Rectangle(0, 0, width, height),
GraphicsUnit.Pixel);

}

//设置图像的分辩率:
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics g = e.Graphics;
Bitmap bmp = new Bitmap("rama.jpg");
g.FillRectangle(Brushes.White, this.ClientRectangle);
bmp.SetResolution(300f, 300f);
g.DrawImage(bmp, 0, 0);
bmp.SetResolution(1200f, 1200f);
g.DrawImage(bmp, 180, 0);

}

//用GDI+画图
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics gForm = e.Graphics;
gForm.FillRectangle(Brushes.White, this.ClientRectangle);
for (int i = 1; i <= 7; ++i)
{

//在窗体上面画出橙色的矩形

Rectangle r = new Rectangle(i*40-15, 0, 15,
this.ClientRectangle.Height);
gForm.FillRectangle(Brushes.Orange, r);

}

//在内存中创建一个Bitmap并设置CompositingMode
Bitmap bmp = new Bitmap(260, 260,

System.Drawing.Imaging.PixelFormat.Format32bppArgb);
Graphics gBmp = Graphics.FromImage(bmp);
gBmp.CompositingMode = System.Drawing.Drawing2D.CompositingMode.SourceCopy;
// 创建一个带有Alpha的红色区域
// 并将其画在内存的位图里面
Color red = Color.FromArgb(0x60, 0xff, 0, 0);
Brush redBrush = new SolidBrush(red);
gBmp.FillEllipse(redBrush, 70, 70, 160, 160);
// 创建一个带有Alpha的绿色区域
Color green = Color.FromArgb(0x40, 0, 0xff, 0);
Brush greenBrush = new SolidBrush(green);
gBmp.FillRectangle(greenBrush, 10, 10, 140, 140);
//在窗体上面画出位图 now draw the bitmap on our window
gForm.DrawImage(bmp, 20, 20, bmp.Width, bmp.Height);
// 清理资源
bmp.Dispose();
gBmp.Dispose();
redBrush.Dispose();
greenBrush.Dispose();

}

//在窗体上面绘图并显示图像
private void Form1_Paint(object sender, System.Windows.Forms.PaintEventArgs e)
{

Graphics g = e.Graphics;
Pen blackPen = new Pen(Color.Black, 1);

if (ClientRectangle.Height / 10 > 0)

{

for (int y = 0; y < ClientRectangle.Height; y += ClientRectangle.Height / 10)

{

g.DrawLine(blackPen, new Point(0, 0), new Point(ClientRectangle.Width, y));

}

}

blackPen.Dispose();

}

C# 使用Bitmap类进行图片裁剪

在Mapwin(手机游戏地图编辑器)生成的地图txt文件中添加自己需要处理的数据后转换成可在手机(Ophone)开发环境中使用的字节流地图文件的小工具,其中就涉及到图片的裁剪和生成了。有以下几种方式。

方法一:拷贝像素。

当然这种方法是最笨的,效率也就低了些。

在Bitmap类中我们可以看到这样两个方法:GetPixel(int x, int y)和SetPixel(int x, int y, Color color)方法。从字面的含以上就知道前者是获取图像某点像素值,是用Color对象返回的;后者是将已知像素描画到制定的位置。

下面就来做个实例检验下:

1.首先创建一个Windows Form窗体程序,往该窗体上拖放7个PictureBox控件,第一个用于放置并显示原始的大图片,其后6个用于放置并显示裁剪后新生成的6个小图;

2.放置原始大图的PictureBox控件name属性命名为pictureBoxBmpRes,其后pictureBox1到pictureBox6依次命名,并放置在合适的位置;

3.双击Form窗体,然后在Form1_Load事件中加入下面的代码即可。

//导入图像资源

            Bitmap bmpRes = null;

            String strPath = Application.ExecutablePath;

            try{

                int nEndIndex = strPath.LastIndexOf('//');

                strPath = strPath.Substring(0,nEndIndex) + "//Bmp//BmpResMM.bmp";

                bmpRes = new Bitmap(strPath);

                //窗体上显示加载图片

                pictureBoxBmpRes.Width = bmpRes.Width;

                pictureBoxBmpRes.Height = bmpRes.Height;

                pictureBoxBmpRes.Image = bmpRes;

            }

            catch(Exception ex)

            {

               System.Windows.Forms.MessageBox.Show("图片资源加载失败!/r/n" + ex.ToString());

            }

            //裁剪图片(裁成2行3列的6张图片)

            int nYClipNum = 2, nXClipNum = 3;

            Bitmap[] bmpaClipBmpArr = new Bitmap[nYClipNum * nXClipNum];            

            for (int nYClipNumIndex = 0; nYClipNumIndex < nYClipNum; nYClipNumIndex++)

            {

                for (int nXClipNumIndex = 0; nXClipNumIndex < nXClipNum; nXClipNumIndex++)

                {

                    int nClipWidth = bmpRes.Width / nXClipNum;

                    int nClipHight = bmpRes.Height / nYClipNum;

                    int nBmpIndex = nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0?1:0);

                    bmpaClipBmpArr[nBmpIndex] = new Bitmap(nClipWidth, nClipHight);

                    for(int nY = 0; nY < nClipHight; nY++)

                    {

                        for(int nX = 0; nX < nClipWidth; nX++)

                        {

                            int nClipX = nX + nClipWidth * nXClipNumIndex;

                            int nClipY = nY + nClipHight * nYClipNumIndex;

                            Color cClipPixel = bmpRes.GetPixel(nClipX, nClipY);

                            bmpaClipBmpArr[nBmpIndex].SetPixel(nX, nY, cClipPixel);

                        }

                    }                   

                }

            }

            PictureBox[] picbShow = new PictureBox[nYClipNum * nXClipNum];

            picbShow[0] = pictureBox1;

            picbShow[1] = pictureBox2;

            picbShow[2] = pictureBox3;

            picbShow[3] = pictureBox4;

            picbShow[4] = pictureBox5;

            picbShow[5] = pictureBox6;

            for (int nLoop = 0; nLoop < nYClipNum * nXClipNum; nLoop++)

            {

                picbShow[nLoop].Width = bmpRes.Width / nXClipNum;

                picbShow[nLoop].Height = bmpRes.Height / nYClipNum;

                picbShow[nLoop].Image = bmpaClipBmpArr[nLoop];               

            }

 现在看看那些地方需要注意的了。其中

int nBmpIndex =

nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0?1:0);

 这句定义了存储裁剪图片对象在数组中的索引,需要注意的就是后面的(nYClipNumIndex > 0?1:0)——因为只有当裁剪的对象处于第一行以外的行时需要将索引加1;

另外,因为这种方法的效率不高,程序运行起来还是顿了下。如果有兴趣的话,可以将以上的代码放到一个按钮Click事件函数中,当单击该按钮时就可以感觉到了。

 方法二:运用Clone函数局部复制。

同样在Bitmap中可以找到Clone()方法,该方法有三个重载方法。Clone(),Clone(Rectangle, PixelFormat)和Clone(RectangleF, PixelFormat)。第一个方法将创建并返回一个精确的实例对象,后两个就是我们这里需要用的局部裁剪了(其实后两个方法本人觉得用法上差不多)。

将上面的程序稍稍改进下——将裁剪的处理放到一个按钮事件函数中,然后再托一个按钮好窗体上,最后将下面的代码复制到该按钮的事件函数中。

for (int nYClipNumIndex = 0; nYClipNumIndex < nYClipNum; nYClipNumIndex++)

{

       for (int nXClipNumIndex = 0; nXClipNumIndex < nXClipNum; nXClipNumIndex++)

         {

              int nClipWidth = bmpRes.Width / nXClipNum;

                      int nClipHight = bmpRes.Height / nYClipNum;

                int nBmpIndex =

nXClipNumIndex + nYClipNumIndex * nYClipNum + (nYClipNumIndex > 0 ? 1 : 0);

        Rectangle rClipRect = new Rectangle(nClipWidth * nXClipNumIndex,

                                                            nClipHight * nYClipNumIndex,

                                                            nClipWidth,

                                                            nClipHight);

                bmpaClipBmpArr[nBmpIndex] = bmpRes.Clone(rClipRect, bmpRes.PixelFormat);

            }

}

 运行程序,单击按钮检验下,发现速度明显快可很多。

其实这种方法较第一中方法不同的地方仅只是变换了for循环中的拷贝部分的处理,

Rectangle rClipRect = new Rectangle(nClipWidth * nXClipNumIndex,

                                                            nClipHight * nYClipNumIndex,

                                                            nClipWidth,

                                                            nClipHight);

bmpaClipBmpArr[nBmpIndex] = bmpRes.Clone(rClipRect, bmpRes.PixelFormat);

各种效果:

一. 底片效果
原理: GetPixel方法获得每一点像素的值, 然后再使用SetPixel方法将取反后的颜色值设置到对应的点.
效果图:

代码实现:

          private void button1_Click(object sender, EventArgs e)
        {
            //以底片效果显示图像
            try
            {
                int Height = this.pictureBox1.Image.Height;
                int Width = this.pictureBox1.Image.Width;
                Bitmap newbitmap = new Bitmap(Width, Height);
                Bitmap oldbitmap = (Bitmap)this.pictureBox1.Image;
                Color pixel;
                for (int x = 1; x < Width; x++)
                {
                    for (int y = 1; y < Height; y++)
                    {
                        int r, g, b;
                        pixel = oldbitmap.GetPixel(x, y);
                        r = 255 - pixel.R;
                        g = 255 - pixel.G;
                        b = 255 - pixel.B;
                        newbitmap.SetPixel(x, y, Color.FromArgb(r, g, b));
                    }
                }
                this.pictureBox1.Image = newbitmap;
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Information);
            }
        }

二. 浮雕效果

原理: 对图像像素点的像素值分别与相邻像素点的像素值相减后加上128, 然后将其作为新的像素点的值.

效果图:

代码实现:


       private void button1_Click(object sender, EventArgs e)
        {
            //以浮雕效果显示图像
            try
            {
                int Height = this.pictureBox1.Image.Height;
                int Width = this.pictureBox1.Image.Width;
                Bitmap newBitmap = new Bitmap(Width, Height);
                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
                Color pixel1, pixel2;
                for (int x = 0; x < Width - 1; x++)
                {
                    for (int y = 0; y < Height - 1; y++)
                    {
                        int r = 0, g = 0, b = 0;
                        pixel1 = oldBitmap.GetPixel(x, y);
                        pixel2 = oldBitmap.GetPixel(x + 1, y + 1);
                        r = Math.Abs(pixel1.R - pixel2.R + 128);
                        g = Math.Abs(pixel1.G - pixel2.G + 128);
                        b = Math.Abs(pixel1.B - pixel2.B + 128);
                        if (r > 255)
                            r = 255;
                        if (r < 0)
                            r = 0;
                        if (g > 255)
                            g = 255;
                        if (g < 0)
                            g = 0;
                        if (b > 255)
                            b = 255;
                        if (b < 0)
                            b = 0;
                        newBitmap.SetPixel(x, y, Color.FromArgb(r, g, b));
                    }
                }
                this.pictureBox1.Image = newBitmap;
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "信息提示", MessageBoxButtons.OK, MessageBoxIcon.Information);
            }
        }

三. 黑白效果

原理: 彩色图像处理成黑白效果通常有3种算法;

(1).最大值法: 使每个像素点的 R, G, B 值等于原像素点的 RGB (颜色值) 中最大的一个;

(2).平均值法: 使用每个像素点的 R,G,B值等于原像素点的RGB值的平均值;

(3).加权平均值法: 对每个像素点的 R, G, B值进行加权

      ---自认为第三种方法做出来的黑白效果图像最 "真实".

效果图:

代码实现:

        private void button1_Click(object sender, EventArgs e)
        {
            //以黑白效果显示图像
            try
            {
                int Height = this.pictureBox1.Image.Height;
                int Width = this.pictureBox1.Image.Width;
                Bitmap newBitmap = new Bitmap(Width, Height);
                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
                Color pixel;
                for (int x = 0; x < Width; x++)
                    for (int y = 0; y < Height; y++)
                    {
                        pixel = oldBitmap.GetPixel(x, y);
                        int r, g, b, Result = 0;
                        r = pixel.R;
                        g = pixel.G;
                        b = pixel.B;
                        //实例程序以加权平均值法产生黑白图像
                        int iType =2;
                        switch (iType)
                        {
                            case 0://平均值法
                                Result = ((r + g + b) / 3);
                                break;
                            case 1://最大值法
                                Result = r > g ? r : g;
                                Result = Result > b ? Result : b;
                                break;
                            case 2://加权平均值法
                                Result = ((int)(0.7 * r) + (int)(0.2 * g) + (int)(0.1 * b));
                                break;
                        }
                        newBitmap.SetPixel(x, y, Color.FromArgb(Result, Result, Result));
                    }
                this.pictureBox1.Image = newBitmap;
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "信息提示");
            }
        }

四. 柔化效果

原理: 当前像素点与周围像素点的颜色差距较大时取其平均值.

效果图:

代码实现:

        private void button1_Click(object sender, EventArgs e)
        {
            //以柔化效果显示图像
            try
            {
                int Height = this.pictureBox1.Image.Height;
                int Width = this.pictureBox1.Image.Width;
                Bitmap bitmap = new Bitmap(Width, Height);
                Bitmap MyBitmap = (Bitmap)this.pictureBox1.Image;
                Color pixel;
                //高斯模板
                int[] Gauss ={ 1, 2, 1, 2, 4, 2, 1, 2, 1 };
                for (int x = 1; x < Width - 1; x++)
                    for (int y = 1; y < Height - 1; y++)
                    {
                        int r = 0, g = 0, b = 0;
                        int Index = 0;
                        for (int col = -1; col <= 1; col++)
                            for (int row = -1; row <= 1; row++)
                            {
                                pixel = MyBitmap.GetPixel(x + row, y + col);
                                r += pixel.R * Gauss[Index];
                                g += pixel.G * Gauss[Index];
                                b += pixel.B * Gauss[Index];
                                Index++;
                            }
                        r /= 16;
                        g /= 16;
                        b /= 16;
                        //处理颜色值溢出
                        r = r > 255 ? 255 : r;
                        r = r < 0 ? 0 : r;
                        g = g > 255 ? 255 : g;
                        g = g < 0 ? 0 : g;
                        b = b > 255 ? 255 : b;
                        b = b < 0 ? 0 : b;
                        bitmap.SetPixel(x - 1, y - 1, Color.FromArgb(r, g, b));
                    }
                this.pictureBox1.Image = bitmap;
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "信息提示");
            }
        }

五.锐化效果

原理:突出显示颜色值大(即形成形体边缘)的像素点.

效果图:

实现代码:

       private void button1_Click(object sender, EventArgs e)
        {
            //以锐化效果显示图像
            try
            {
                int Height = this.pictureBox1.Image.Height;
                int Width = this.pictureBox1.Image.Width;
                Bitmap newBitmap = new Bitmap(Width, Height);
                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
                Color pixel;
                //拉普拉斯模板
                int[] Laplacian ={ -1, -1, -1, -1, 9, -1, -1, -1, -1 };
                for (int x = 1; x < Width - 1; x++)
                    for (int y = 1; y < Height - 1; y++)
                    {
                        int r = 0, g = 0, b = 0;
                        int Index = 0;
                        for (int col = -1; col <= 1; col++)
                            for (int row = -1; row <= 1; row++)
                            {
                                pixel = oldBitmap.GetPixel(x + row, y + col); r += pixel.R * Laplacian[Index];
                                g += pixel.G * Laplacian[Index];
                                b += pixel.B * Laplacian[Index];
                                Index++;
                            }
                        //处理颜色值溢出
                        r = r > 255 ? 255 : r;
                        r = r < 0 ? 0 : r;
                        g = g > 255 ? 255 : g;
                        g = g < 0 ? 0 : g;
                        b = b > 255 ? 255 : b;
                        b = b < 0 ? 0 : b;
                        newBitmap.SetPixel(x - 1, y - 1, Color.FromArgb(r, g, b));
                    }
                this.pictureBox1.Image = newBitmap;
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "信息提示");
            }
        }

六. 雾化效果

原理: 在图像中引入一定的随机值, 打乱图像中的像素值

效果图:

实现代码:

       private void button1_Click(object sender, EventArgs e)
        {
            //以雾化效果显示图像
            try
            {
                int Height = this.pictureBox1.Image.Height;
                int Width = this.pictureBox1.Image.Width;
                Bitmap newBitmap = new Bitmap(Width, Height);
                Bitmap oldBitmap = (Bitmap)this.pictureBox1.Image;
                Color pixel;
                for (int x = 1; x < Width - 1; x++)
                    for (int y = 1; y < Height - 1; y++)
                    {
                        System.Random MyRandom = new Random();
                        int k = MyRandom.Next(123456);
                        //像素块大小
                        int dx = x + k % 19;
                        int dy = y + k % 19;
                        if (dx >= Width)
                            dx = Width - 1;
                        if (dy >= Height)
                            dy = Height - 1;
                        pixel = oldBitmap.GetPixel(dx, dy);
                        newBitmap.SetPixel(x, y, pixel);
                    }
                this.pictureBox1.Image = newBitmap;
            }
            catch (Exception ex)
            {
                MessageBox.Show(ex.Message, "信息提示");
            }
        }

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