C#图片处理类分享

本文实例为大家分享了c#图片处理类的具体代码，供大家参考，具体内容如下

using system;
using system.collections;
using system.io;
using system.drawing;
using system.drawing.imaging;
using system.drawing.drawing2d;

namespace dotnet.utilities
{
 public class imageclass
 {
  public imageclass()
  { }

  #region 缩略图
  /// <summary>
  /// 生成缩略图
  /// </summary>
  /// <param name="originalimagepath">源图路径（物理路径）</param>
  /// <param name="thumbnailpath">缩略图路径（物理路径）</param>
  /// <param name="width">缩略图宽度</param>
  /// <param name="height">缩略图高度</param>
  /// <param name="mode">生成缩略图的方式</param> 
  public static void makethumbnail(string originalimagepath, string thumbnailpath, int width, int height, string mode)
  {
   system.drawing.image originalimage = system.drawing.image.fromfile(originalimagepath);

   int towidth = width;
   int toheight = height;

   int x = 0;
   int y = 0;
   int ow = originalimage.width;
   int oh = originalimage.height;

   switch (mode)
   {
    case "hw": //指定高宽缩放（可能变形）    
     break;
    case "w": //指定宽，高按比例     
     toheight = originalimage.height * width / originalimage.width;
     break;
    case "h": //指定高，宽按比例
     towidth = originalimage.width * height / originalimage.height;
     break;
    case "cut": //指定高宽裁减（不变形）    
     if ((double)originalimage.width / (double)originalimage.height > (double)towidth / (double)toheight)
     {
      oh = originalimage.height;
      ow = originalimage.height * towidth / toheight;
      y = 0;
      x = (originalimage.width - ow) / 2;
     }
     else
     {
      ow = originalimage.width;
      oh = originalimage.width * height / towidth;
      x = 0;
      y = (originalimage.height - oh) / 2;
     }
     break;
    default:
     break;
   }

   //新建一个bmp图片
   system.drawing.image bitmap = new system.drawing.bitmap(towidth, toheight);

   //新建一个画板
   system.drawing.graphics g = system.drawing.graphics.fromimage(bitmap);

   //设置高质量插值法
   g.interpolationmode = system.drawing.drawing2d.interpolationmode.high;

   //设置高质量,低速度呈现平滑程度
   g.smoothingmode = system.drawing.drawing2d.smoothingmode.highquality;

   //清空画布并以透明背景色填充
   g.clear(system.drawing.color.transparent);

   //在指定位置并且按指定大小绘制原图片的指定部分
   g.drawimage(originalimage, new system.drawing.rectangle(0, 0, towidth, toheight), new system.drawing.rectangle(x, y, ow, oh), system.drawing.graphicsunit.pixel);

   try
   {
    //以jpg格式保存缩略图
    bitmap.save(thumbnailpath, system.drawing.imaging.imageformat.jpeg);
   }
   catch (system.exception e)
   {
    throw e;
   }
   finally
   {
    originalimage.dispose();
    bitmap.dispose();
    g.dispose();
   }
  }
  #endregion

  #region 图片水印
  /// <summary>
  /// 图片水印处理方法
  /// </summary>
  /// <param name="path">需要加载水印的图片路径（绝对路径）</param>
  /// <param name="waterpath">水印图片（绝对路径）</param>
  /// <param name="location">水印位置（传送正确的代码）</param>
  public static string imagewatermark(string path, string waterpath, string location)
  {
   string kz_name = path.getextension(path);
   if (kz_name == ".jpg" || kz_name == ".bmp" || kz_name == ".jpeg")
   {
    datetime time = datetime.now;
    string filename = "" + time.year.tostring() + time.month.tostring() + time.day.tostring() + time.hour.tostring() + time.minute.tostring() + time.second.tostring() + time.millisecond.tostring();
    image img = bitmap.fromfile(path);
    image waterimg = image.fromfile(waterpath);
    graphics g = graphics.fromimage(img);
    arraylist loca = getlocation(location, img, waterimg);
    g.drawimage(waterimg, new rectangle(int.parse(loca[0].tostring()), int.parse(loca[1].tostring()), waterimg.width, waterimg.height));
    waterimg.dispose();
    g.dispose();
    string newpath = path.getdirectoryname(path) + filename + kz_name;
    img.save(newpath);
    img.dispose();
    file.copy(newpath, path, true);
    if (file.exists(newpath))
    {
     file.delete(newpath);
    }
   }
   return path;
  }

  /// <summary>
  /// 图片水印位置处理方法
  /// </summary>
  /// <param name="location">水印位置</param>
  /// <param name="img">需要添加水印的图片</param>
  /// <param name="waterimg">水印图片</param>
  private static arraylist getlocation(string location, image img, image waterimg)
  {
   arraylist loca = new arraylist();
   int x = 0;
   int y = 0;

   if (location == "lt")
   {
    x = 10;
    y = 10;
   }
   else if (location == "t")
   {
    x = img.width / 2 - waterimg.width / 2;
    y = img.height - waterimg.height;
   }
   else if (location == "rt")
   {
    x = img.width - waterimg.width;
    y = 10;
   }
   else if (location == "lc")
   {
    x = 10;
    y = img.height / 2 - waterimg.height / 2;
   }
   else if (location == "c")
   {
    x = img.width / 2 - waterimg.width / 2;
    y = img.height / 2 - waterimg.height / 2;
   }
   else if (location == "rc")
   {
    x = img.width - waterimg.width;
    y = img.height / 2 - waterimg.height / 2;
   }
   else if (location == "lb")
   {
    x = 10;
    y = img.height - waterimg.height;
   }
   else if (location == "b")
   {
    x = img.width / 2 - waterimg.width / 2;
    y = img.height - waterimg.height;
   }
   else
   {
    x = img.width - waterimg.width;
    y = img.height - waterimg.height;
   }
   loca.add(x);
   loca.add(y);
   return loca;
  }
  #endregion

  #region 文字水印
  /// <summary>
  /// 文字水印处理方法
  /// </summary>
  /// <param name="path">图片路径（绝对路径）</param>
  /// <param name="size">字体大小</param>
  /// <param name="letter">水印文字</param>
  /// <param name="color">颜色</param>
  /// <param name="location">水印位置</param>
  public static string letterwatermark(string path, int size, string letter, color color, string location)
  {
   #region

   string kz_name = path.getextension(path);
   if (kz_name == ".jpg" || kz_name == ".bmp" || kz_name == ".jpeg")
   {
    datetime time = datetime.now;
    string filename = "" + time.year.tostring() + time.month.tostring() + time.day.tostring() + time.hour.tostring() + time.minute.tostring() + time.second.tostring() + time.millisecond.tostring();
    image img = bitmap.fromfile(path);
    graphics gs = graphics.fromimage(img);
    arraylist loca = getlocation(location, img, size, letter.length);
    font font = new font("宋体", size);
    brush br = new solidbrush(color);
    gs.drawstring(letter, font, br, float.parse(loca[0].tostring()), float.parse(loca[1].tostring()));
    gs.dispose();
    string newpath = path.getdirectoryname(path) + filename + kz_name;
    img.save(newpath);
    img.dispose();
    file.copy(newpath, path, true);
    if (file.exists(newpath))
    {
     file.delete(newpath);
    }
   }
   return path;

   #endregion
  }

  /// <summary>
  /// 文字水印位置的方法
  /// </summary>
  /// <param name="location">位置代码</param>
  /// <param name="img">图片对象</param>
  /// <param name="width">宽(当水印类型为文字时,传过来的就是字体的大小)</param>
  /// <param name="height">高(当水印类型为文字时,传过来的就是字符的长度)</param>
  private static arraylist getlocation(string location, image img, int width, int height)
  {
   #region

   arraylist loca = new arraylist(); //定义数组存储位置
   float x = 10;
   float y = 10;

   if (location == "lt")
   {
    loca.add(x);
    loca.add(y);
   }
   else if (location == "t")
   {
    x = img.width / 2 - (width * height) / 2;
    loca.add(x);
    loca.add(y);
   }
   else if (location == "rt")
   {
    x = img.width - width * height;
   }
   else if (location == "lc")
   {
    y = img.height / 2;
   }
   else if (location == "c")
   {
    x = img.width / 2 - (width * height) / 2;
    y = img.height / 2;
   }
   else if (location == "rc")
   {
    x = img.width - height;
    y = img.height / 2;
   }
   else if (location == "lb")
   {
    y = img.height - width - 5;
   }
   else if (location == "b")
   {
    x = img.width / 2 - (width * height) / 2;
    y = img.height - width - 5;
   }
   else
   {
    x = img.width - width * height;
    y = img.height - width - 5;
   }
   loca.add(x);
   loca.add(y);
   return loca;

   #endregion
  }
  #endregion

  #region 调整光暗
  /// <summary>
  /// 调整光暗
  /// </summary>
  /// <param name="mybm">原始图片</param>
  /// <param name="width">原始图片的长度</param>
  /// <param name="height">原始图片的高度</param>
  /// <param name="val">增加或减少的光暗值</param>
  public bitmap ldpic(bitmap mybm, int width, int height, int val)
  {
   bitmap bm = new bitmap(width, height);//初始化一个记录经过处理后的图片对象
   int x, y, resultr, resultg, resultb;//x、y是循环次数，后面三个是记录红绿蓝三个值的
   color pixel;
   for (x = 0; x < width; x++)
   {
    for (y = 0; y < height; y++)
    {
     pixel = mybm.getpixel(x, y);//获取当前像素的值
     resultr = pixel.r + val;//检查红色值会不会超出[0, 255]
     resultg = pixel.g + val;//检查绿色值会不会超出[0, 255]
     resultb = pixel.b + val;//检查蓝色值会不会超出[0, 255]
     bm.setpixel(x, y, color.fromargb(resultr, resultg, resultb));//绘图
    }
   }
   return bm;
  }
  #endregion

  #region 反色处理
  /// <summary>
  /// 反色处理
  /// </summary>
  /// <param name="mybm">原始图片</param>
  /// <param name="width">原始图片的长度</param>
  /// <param name="height">原始图片的高度</param>
  public bitmap repic(bitmap mybm, int width, int height)
  {
   bitmap bm = new bitmap(width, height);//初始化一个记录处理后的图片的对象
   int x, y, resultr, resultg, resultb;
   color pixel;
   for (x = 0; x < width; x++)
   {
    for (y = 0; y < height; y++)
    {
     pixel = mybm.getpixel(x, y);//获取当前坐标的像素值
     resultr = 255 - pixel.r;//反红
     resultg = 255 - pixel.g;//反绿
     resultb = 255 - pixel.b;//反蓝
     bm.setpixel(x, y, color.fromargb(resultr, resultg, resultb));//绘图
    }
   }
   return bm;
  }
  #endregion

  #region 浮雕处理
  /// <summary>
  /// 浮雕处理
  /// </summary>
  /// <param name="oldbitmap">原始图片</param>
  /// <param name="width">原始图片的长度</param>
  /// <param name="height">原始图片的高度</param>
  public bitmap fd(bitmap oldbitmap, int width, int height)
  {
   bitmap newbitmap = new bitmap(width, height);
   color color1, color2;
   for (int x = 0; x < width - 1; x++)
   {
    for (int y = 0; y < height - 1; y++)
    {
     int r = 0, g = 0, b = 0;
     color1 = oldbitmap.getpixel(x, y);
     color2 = oldbitmap.getpixel(x + 1, y + 1);
     r = math.abs(color1.r - color2.r + 128);
     g = math.abs(color1.g - color2.g + 128);
     b = math.abs(color1.b - color2.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));
    }
   }
   return newbitmap;
  }
  #endregion

  #region 拉伸图片
  /// <summary>
  /// 拉伸图片
  /// </summary>
  /// <param name="bmp">原始图片</param>
  /// <param name="neww">新的宽度</param>
  /// <param name="newh">新的高度</param>
  public static bitmap resizeimage(bitmap bmp, int neww, int newh)
  {
   try
   {
    bitmap bap = new bitmap(neww, newh);
    graphics g = graphics.fromimage(bap);
    g.interpolationmode = system.drawing.drawing2d.interpolationmode.highqualitybicubic;
    g.drawimage(bap, new rectangle(0, 0, neww, newh), new rectangle(0, 0, bap.width, bap.height), graphicsunit.pixel);
    g.dispose();
    return bap;
   }
   catch
   {
    return null;
   }
  }
  #endregion

  #region 滤色处理
  /// <summary>
  /// 滤色处理
  /// </summary>
  /// <param name="mybm">原始图片</param>
  /// <param name="width">原始图片的长度</param>
  /// <param name="height">原始图片的高度</param>
  public bitmap filpic(bitmap mybm, int width, int height)
  {
   bitmap bm = new bitmap(width, height);//初始化一个记录滤色效果的图片对象
   int x, y;
   color pixel;

   for (x = 0; x < width; x++)
   {
    for (y = 0; y < height; y++)
    {
     pixel = mybm.getpixel(x, y);//获取当前坐标的像素值
     bm.setpixel(x, y, color.fromargb(0, pixel.g, pixel.b));//绘图
    }
   }
   return bm;
  }
  #endregion

  #region 左右翻转
  /// <summary>
  /// 左右翻转
  /// </summary>
  /// <param name="mybm">原始图片</param>
  /// <param name="width">原始图片的长度</param>
  /// <param name="height">原始图片的高度</param>
  public bitmap revpiclr(bitmap mybm, int width, int height)
  {
   bitmap bm = new bitmap(width, height);
   int x, y, z; //x,y是循环次数,z是用来记录像素点的x坐标的变化的
   color pixel;
   for (y = height - 1; y >= 0; y--)
   {
    for (x = width - 1, z = 0; x >= 0; x--)
    {
     pixel = mybm.getpixel(x, y);//获取当前像素的值
     bm.setpixel(z++, y, color.fromargb(pixel.r, pixel.g, pixel.b));//绘图
    }
   }
   return bm;
  }
  #endregion

  #region 上下翻转
  /// <summary>
  /// 上下翻转
  /// </summary>
  /// <param name="mybm">原始图片</param>
  /// <param name="width">原始图片的长度</param>
  /// <param name="height">原始图片的高度</param>
  public bitmap revpicud(bitmap mybm, int width, int height)
  {
   bitmap bm = new bitmap(width, height);
   int x, y, z;
   color pixel;
   for (x = 0; x < width; x++)
   {
    for (y = height - 1, z = 0; y >= 0; y--)
    {
     pixel = mybm.getpixel(x, y);//获取当前像素的值
     bm.setpixel(x, z++, color.fromargb(pixel.r, pixel.g, pixel.b));//绘图
    }
   }
   return bm;
  }
  #endregion

  #region 压缩图片
  /// <summary>
  /// 压缩到指定尺寸
  /// </summary>
  /// <param name="oldfile">原文件</param>
  /// <param name="newfile">新文件</param>
  public bool compress(string oldfile, string newfile)
  {
   try
   {
    system.drawing.image img = system.drawing.image.fromfile(oldfile);
    system.drawing.imaging.imageformat thisformat = img.rawformat;
    size newsize = new size(100, 125);
    bitmap outbmp = new bitmap(newsize.width, newsize.height);
    graphics g = graphics.fromimage(outbmp);
    g.compositingquality = compositingquality.highquality;
    g.smoothingmode = smoothingmode.highquality;
    g.interpolationmode = interpolationmode.highqualitybicubic;
    g.drawimage(img, new rectangle(0, 0, newsize.width, newsize.height), 0, 0, img.width, img.height, graphicsunit.pixel);
    g.dispose();
    encoderparameters encoderparams = new encoderparameters();
    long[] quality = new long[1];
    quality[0] = 100;
    encoderparameter encoderparam = new encoderparameter(system.drawing.imaging.encoder.quality, quality);
    encoderparams.param[0] = encoderparam;
    imagecodecinfo[] arrayici = imagecodecinfo.getimageencoders();
    imagecodecinfo jpegici = null;
    for (int x = 0; x < arrayici.length; x++)
     if (arrayici[x].formatdescription.equals("jpeg"))
     {
      jpegici = arrayici[x]; //设置jpeg编码
      break;
     }
    img.dispose();
    if (jpegici != null) outbmp.save(newfile, system.drawing.imaging.imageformat.jpeg);
    outbmp.dispose();
    return true;
   }
   catch
   {
    return false;
   }
  }
  #endregion

  #region 图片灰度化
  public color gray(color c)
  {
   int rgb = convert.toint32((double)(((0.3 * c.r) + (0.59 * c.g)) + (0.11 * c.b)));
   return color.fromargb(rgb, rgb, rgb);
  }
  #endregion

  #region 转换为黑白图片
  /// <summary>
  /// 转换为黑白图片
  /// </summary>
  /// <param name="mybt">要进行处理的图片</param>
  /// <param name="width">图片的长度</param>
  /// <param name="height">图片的高度</param>
  public bitmap bwpic(bitmap mybm, int width, int height)
  {
   bitmap bm = new bitmap(width, height);
   int x, y, result; //x,y是循环次数，result是记录处理后的像素值
   color pixel;
   for (x = 0; x < width; x++)
   {
    for (y = 0; y < height; y++)
    {
     pixel = mybm.getpixel(x, y);//获取当前坐标的像素值
     result = (pixel.r + pixel.g + pixel.b) / 3;//取红绿蓝三色的平均值
     bm.setpixel(x, y, color.fromargb(result, result, result));
    }
   }
   return bm;
  }
  #endregion

  #region 获取图片中的各帧
  /// <summary>
  /// 获取图片中的各帧
  /// </summary>
  /// <param name="ppath">图片路径</param>
  /// <param name="psavepath">保存路径</param>
  public void getframes(string ppath, string psavedpath)
  {
   image gif = image.fromfile(ppath);
   framedimension fd = new framedimension(gif.framedimensionslist[0]);
   int count = gif.getframecount(fd); //获取帧数(gif图片可能包含多帧，其它格式图片一般仅一帧)
   for (int i = 0; i < count; i++) //以jpeg格式保存各帧
   {
    gif.selectactiveframe(fd, i);
    gif.save(psavedpath + "\\frame_" + i + ".jpg", imageformat.jpeg);
   }
  }
  #endregion
 }
}

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