private void  ColorBMPToOne(String filename,String toFilename) {
         FileInfo file = new FileInfo(filename);
 
         if (file.Exists)
         {
             FileStream fs = file.OpenRead();
             byte[] bmphead = new byte[54];
             fs.Read(bmphead, 0, 54);
             if (bmphead[0].ToString().Equals("66") && bmphead[1].ToString().Equals("77"))
             {
 
                 int bmpwidth = int.Parse(bmphead[18].ToString()) + int.Parse(bmphead[19].ToString()) * 256 + int.Parse(bmphead[20].ToString()) * 256 * 256 + int.Parse(bmphead[21].ToString()) * 256 * 256 * 256;
                 int bmpheight = int.Parse(bmphead[22].ToString()) + int.Parse(bmphead[23].ToString()) * 256 + int.Parse(bmphead[24].ToString()) * 256 * 256 + int.Parse(bmphead[25].ToString()) * 256 * 256 * 256; ;
                 int bit = int.Parse(bmphead[28].ToString());
 
                 if ((bit == 24) || (bit == 32))
                 {
                 }
                 else {
                     MessageBox.Show("请确定图位数为24或者32位图");
                     return;
                 
                 }
 
                 int bblength = bmpwidth * 3;
                 int bbend = 0;
                 if ((bmpwidth*3 % 4) > 0)
                 {
 
                     bbend=4 - ((bmpwidth * 3) % 4);
                     bblength = bmpwidth * 3 + bbend;
                     
                 }
 

                 int newbmpwidth = 0; 
 
                 if((bmpwidth%32)>0){
 
                     newbmpwidth = ((32 - bmpwidth % 32) + bmpwidth) / 8;
                 
                 }else{
 
                     newbmpwidth = bmpwidth / 8;
                 }
 

                 
                 int bmpsize = newbmpwidth * bmpheight;
 
 
 
                 //图片所占的大小(算上数据头62位的)
                 int bmprelsize = bmpsize + 54 + 8; //54是bmp表头数据.8位是颜色表,分别为00,00,00,00,ff,ff,ff,00
                 byte[] bmpbit = new byte[bmprelsize + newbmpwidth];
                 Array.Copy(bmphead, bmpbit, 54);
 
                 #region 写表头的数据
                 bmpbit[10] = 0x3e;
                 bmpbit[28] = 0x01;
                 bmpbit[54] = 0x00;
                 bmpbit[55] = 0x00;
                 bmpbit[56] = 0x00;
                 bmpbit[57] = 0x00;
                 bmpbit[58] = 0xff;
                 bmpbit[59] = 0xff;
                 bmpbit[60] = 0xff;
                 bmpbit[61] = 0x00;
 
                 //图所占的空间大小,这个不包括图头的
                 String bmpsizeString = String.Format("{0:x2}", bmpsize);
                 String bmpresizeString = String.Format("{0:x2}", bmprelsize);
                 bmpsizeString = bmpsizeString.PadLeft(8, '0');
                 bmpresizeString = bmpresizeString.PadLeft(8, '0');
 
                 Char[] chsize = bmpsizeString.ToCharArray();
                 Char[] chresize = bmpresizeString.ToCharArray();
 
 
 
                 for (int i = 0; i < 8; i = i + 2)
                 {
                     bmpbit[37 - (i / 2)] = (byte)(Uri.FromHex(chsize[i]) * 16 + Uri.FromHex(chsize[i + 1]));
                     bmpbit[5 - (i / 2)] = (byte)(Uri.FromHex(chresize[i]) * 16 + Uri.FromHex(chresize[i + 1]));
                 }
                 #endregion
 
 
 
                 MessageBox.Show(bmpwidth.ToString() + "@@@" + bmpheight.ToString() + "@@@" + newbmpwidth.ToString() + "@@@" + bmprelsize.ToString() + "@@@" + fs.Length+"@@"+bblength.ToString());
 

                 #region 
 

                 byte[] bbrec = new byte[bblength]; 
                 byte[] bb = new byte[bmpwidth*3];
                 int[] ch = new int[8];
                 int[] chend = new int[8];
                 int count = 0;
                 int count2 = 0;
                 int count3 = 0;
            
                 char[] cc = new char[2];
                 int bmpheightcount = 0;
                 int bmpendcount = 0;
 
                 while (fs.Read(bbrec, 0, bblength) > 0)
                 {
                     Array.Copy(bbrec, 0, bb, 0, bmpwidth * 3);
                     
 
                  
                   
                     for (int k = 0; k < bb.Length-23 ; k = k + 24)
                     {
                         bmpendcount = k/24; 
                         for (int j = 0; j < 8; j++)
                         {
                             count = k + j * 3;
                             if ((bb[count].ToString().Equals("255")) && (bb[count + 1].ToString().Equals("255")) && (bb[count + 2].ToString().Equals("255")))
                             {
                                 ch[j] = 1;
                             }
                             else
                             {
                                 ch[j] = 0;
                             }
                         }
                         count2 = ch[0] * 8 + ch[1] * 4 + ch[2] * 2 + ch[3];
                         count3 = ch[4] * 8 + ch[5] * 4 + ch[6] * 2 + ch[7];
                         cc[1] = Convert.ToChar(count3.ToString("x"));
                         cc[0] = Convert.ToChar(count2.ToString("x"));
                         int rewrite = k / 24 + newbmpwidth * bmpheightcount + 62;
                         bmpbit[rewrite] = (byte)(Uri.FromHex(cc[0]) * 16 + Uri.FromHex(cc[1]));
                     }
                     
               
                    
                     #region 
                     int m = bb.Length% 24;
                     ch = new int[8];
                     for (int i = 0; i < ch.Length; i++)
                     {
                         ch[i] = 1;
                     }
                         if (m > 0)
                         {
                             bmpendcount = bmpendcount + 1;
                             for (int i = 0; i < m; i = i + 3)
                             {
                                 int j = bb.Length - m + i;
 
                                 if ((bb[j].ToString().Equals("255")) && (bb[j + 1].ToString().Equals("255")) && (bb[j + 2].ToString().Equals("255")))
                                 {
                                     ch[i / 3] = 1;
                                 }
                                 else
                                 {
 
                                     ch[i / 3] = 0;
                                 }
                             }
                             count2 = ch[0] * 8 + ch[1] * 4 + ch[2] * 2 + ch[3];
                             count3 = ch[4] * 8 + ch[5] * 4 + ch[6] * 2 + ch[7];
                             cc[1] = Convert.ToChar(count3.ToString("x"));
                             cc[0] = Convert.ToChar(count2.ToString("x"));
                             bmpbit[bmpendcount + newbmpwidth * bmpheightcount + 62] = (byte)(Uri.FromHex(cc[0]) * 16 + Uri.FromHex(cc[1]));
                         }
                     #endregion
                     
                     for (int i = bmpendcount+1; i < newbmpwidth;i++ ) {
                         bmpbit[i + newbmpwidth * bmpheightcount + 62] = (byte)Convert.ToInt16(255);
                     
                     }
 
                     for (int i = bmpbit.Length; i > (bmpbit.Length - newbmpwidth);i--)
                     {
                         bmpbit[i-1] = (byte)Convert.ToInt16(255);
                     }
                     bmpheightcount = bmpheightcount + 1;
                     bb = new byte[bmpwidth * 3];
 
                 }
                 MessageBox.Show(bmpheightcount.ToString());
                 FileStream fwrite = new FileStream(toFilename, FileMode.Create);
                 fwrite.Write(bmpbit, 0, bmpbit.Length);
                 fwrite.Close();
                 fs.Close();
                 #endregion
             }
             else {
                 MessageBox.Show("非BMP格式的数据");
             }
         }
         else {
             MessageBox.Show("文件路径不对,请确定文件路径");
         }
        }
 
 
 
因为打印机的显示与微软的显示不一样,所以要转的时候要填充后面的补的字节,不然在打印的时候会有一条黑线

原图：
 
 
转换成：
 

 
 
python代码
# -*- coding: utf-8 -*-

import os
from PIL import *

curdir="E:\\py\\WinPython-32bit-2.7.6.4\\study"

os.chdir(curdir)


def RGB2BlackWhite(filename):
    im=Image.open(filename)
    print "image info,",im.format,im.mode,im.size
    (w,h)=im.size
    R=0
    G=0
    B=0

    for x in xrange(w):
        for y in xrange(h):
            pos=(x,y)
            rgb=im.getpixel( pos )
            (r,g,b)=rgb
            R=R+r
            G=G+g
            B=B+b

    rate1=R*1000/(R+G+B)
    rate2=G*1000/(R+G+B)
    rate3=B*1000/(R+G+B)
    
    print "rate:",rate1,rate2,rate3

    
    for x in xrange(w):
        for y in xrange(h):
            pos=(x,y)
            rgb=im.getpixel( pos )
            (r,g,b)=rgb
            n= r*rate1/1000 + g*rate2/1000 + b*rate3/1000
            #print "n:",n
            if n>=60:
                im.putpixel( pos,(255,255,255))
            else:
                im.putpixel( pos,(0,0,0))
                
    im.save("blackwhite.bmp")                
      
def saveAsBmp(fname):    
    pos1=fname.rfind('.')
    fname1=fname[0:pos1]
    fname1=fname1+'_2.bmp'
    im = Image.open(fname)
    new_im = Image.new("RGB", im.size)
    new_im.paste(im)
    new_im.save(fname1)          
    return fname1          
                
if __name__=="__main__":
    filename=saveAsBmp("2ujb.bmp")
    RGB2BlackWhite(filename)
    
            

 
 

 

 
作者：曼哈顿印象
 
微博：曼哈顿印象PHOTO
 
 视频教程
 视频教程​www.bilibili.com
 
哈喽，大家好，我是小曼（曼哈顿印象），今天给大家带来一期照片转黑白的教程，利用PS快速修出高质量的黑白照片。
 
我们来看看对比图：
 

 

  
 
 

 

  
 
 
第1步：转为黑白
 
首先第一步我们需要做的就是将照片转为黑白，这里我选择调整图层里的黑白工具，其实PS里面有很多转黑白的方式，之所以选择这个黑白工具因为这个工具可以调整照片原本颜色的黑白亮度。
 

 

  
 
 
这里参数选择不固定，尽量调整让照片整体看起来黑白对比强烈点。
 

 

  
 
 
调整后：
 

 

  
 
 
第2步：压暗人物周围
 
为了让主体更突出点，我们需要将主体周围给压暗，这里选择带有蒙版的曲线工具进行压暗：
 

 

  
 
 
里面蒙版用黑色把人物擦出来，人物不需要压暗。
 

 

  
 
 
调整后：
 

 

  
 
 
第3步：高低频
 
皮肤的处理，我们选择高低频方法进行磨皮：按住快捷键shift+alt+ctrl+e合并图层:为图层2，再次复制一个图层2：为图层3
 

 

  
 
 
对图层2进行以下操作：滤镜—高斯模糊—半径2.8左右。
 

 

  
 
 

 

  
 
 
对图层3进行以下操作：图像——应用图像
 

 

  
 
 
图层选择进行过高斯模糊的图层2，混合选择：减去，缩放：2，补偿值：128.
 

 

  
 
 
点击确定后，改变图层3的图层模式：改为线性光。
 
第4步：磨皮
 
这里我们选择进行过高斯模糊的图层2进行操作，选择混合器画笔工具
 

 

  
 
 
参数选择如图：选项-每次描边后清理画笔-点按下去，参数分别设置为：49%，30%，28%，82%。
 

 

  
 
 
然后就可以开始涂抹皮肤了。
 
涂抹后：
 

 

  
 
 
第 5步：锐化皮肤
 
由于经过磨皮后，皮肤纹理几乎没有了，所以这一步需要对皮肤进行锐化的处理。
 
按住快捷键shift+alt+ctrl+e合并图层，选择滤镜—cameraraw滤镜。
 
这一步的处理，主要是调整照片的黑白灰关系，让整体看起来更有质感。
 

 

  
 
 
再次复制一个图层，选择滤镜—其他—高反差保留—半径4.1左右
 

 

  
 
 

 

  
 
 
然后将图层模式改为：线性光。
 
最终效果：
 

 

  
 
 
喜欢的点个赞奥！
 

 

  
 

 

 
I've got a bitmap displayed in an ImageView, and I want to be able to make a certain percentage of the image black and white, and have the other part retain it's color. For example, if 60% is the target percentage, the image would look like this:
 
. Thanks.
 
解决方案I've got a bitmap displayed in an ImageView, and I want to be able to
 
make a certain percentage of the image black and white, and have the
 
other part retain it's color. For example, if 60% is the target
 
percentage.
 
It seems (from your image) you mean monochrome (i.e. greyscale), not black and white.
 
Something like this should do it (tested o.k.):
 
void doIt(ImageView image)
 
{
 
//get bitmap from your ImageView (image)
 
Bitmap originalBitmap = ((BitmapDrawable)image.getDrawable()).getBitmap();
 
int height = originalBitmap.getHeight();
 
int fortyPercentHeight = (int) Math.floor(height * 40.0 / 100.0);
 
//create a bitmap of the top 40% of image height that we will make black and white
 
Bitmap croppedBitmap = Bitmap.createBitmap(originalBitmap, 0, 0, originalBitmap.getWidth() , fortyPercentHeight );
 
//make it monochrome
 
Bitmap blackAndWhiteBitmap = monoChrome(croppedBitmap);
 
//copy the monochrome bmp (blackAndWhiteBitmap) to the original bmp (originalBitmap)
 
originalBitmap = overlay(originalBitmap, blackAndWhiteBitmap);
 
//set imageview to new bitmap
 
image.setImageBitmap(originalBitmap );
 
}
 
Bitmap monoChrome(Bitmap bitmap)
 
{
 
Bitmap bmpMonochrome = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Bitmap.Config.ARGB_8888);
 
Canvas canvas = new Canvas(bmpMonochrome);
 
ColorMatrix ma = new ColorMatrix();
 
ma.setSaturation(0);
 
Paint paint = new Paint();
 
paint.setColorFilter(new ColorMatrixColorFilter(ma));
 
canvas.drawBitmap(bitmap, 0, 0, paint);
 
return bmpMonochrome;
 
}
 
Bitmap overlay(Bitmap bmp1, Bitmap bmp2)
 
{
 
Bitmap bmp3 = bmp1.copy(Bitmap.Config.ARGB_8888,true);//mutable copy
 
Canvas canvas = new Canvas(bmp3 );
 
canvas.drawBitmap(bmp2, new Matrix(), null);
 
return bmp3 ;
 
}