乡下人产国偷v产偷v自拍,国产午夜片在线观看,婷婷成人亚洲综合国产麻豆,久久综合给合久久狠狠狠9

  • <output id="e9wm2"></output>
    <s id="e9wm2"><nobr id="e9wm2"><ins id="e9wm2"></ins></nobr></s>

    • 分享

      幾個不錯的J2ME圖片縮放函數(shù) - AJava

       hotbain 2010-07-27
      代碼1,函數(shù) resizeImage
      public static Image resizeImage(Image src, int destW, int destH) {  
              int srcW = src.getWidth();  
              int srcH = src.getHeight();  
              // create pixel arrays 
              int[] destPixels = new int[destW * destH]; // array to hold destination   
              // pixels 
              int[] srcPixels = new int[srcW * srcH]; // array with source's pixels   
              src.getRGB(srcPixels, 0, srcW, 0, 0, srcW, srcH);  
              // simple point smapled resizing 
              // loop through the destination pixels, find the matching pixel on 
              // the source and use that 
              for (int destY = 0; destY < destH; ++destY) {  
                  for (int destX = 0; destX < destW; ++destX) {  
                      int srcX = (destX * srcW) / destW;
                      int srcY = (destY * srcH) / destH;
                      destPixels[destX + destY * destW] = srcPixels[srcX + srcY * srcW];  
                  }  
              }  
              // return a new image created from the destination pixel buffer 
              return Image.createRGBImage(destPixels, destW, destH, true);  
          } 
      

      代碼2,函數(shù)ZoomImage

       

      public static Image ZoomImage(Image src, int desW, int desH) {
              Image desImg = null;
              int srcW = src.getWidth(); // 原始圖像寬 
              int srcH = src.getHeight(); // 原始圖像高 
              int[] srcBuf = new int[srcW * srcH]; // 原始圖片像素信息緩存 
              src.getRGB(srcBuf, 0, srcW, 0, 0, srcW, srcH);
              // 計(jì)算插值表 
              int[] tabY = new int[desH];
              int[] tabX = new int[desW];
              int sb = 0;
              int db = 0;
              int tems = 0;
              int temd = 0;
              int distance = srcH > desH ? srcH : desH;
              for (int i = 0; i <= distance; i++) { /* 垂直方向 */
                  tabY[db] = sb;
                  tems += srcH;
                  temd += desH;
                  if (tems > distance) {
                      tems -= distance;
                      sb++;
                  }
                  if (temd > distance) {
                      temd -= distance;
                      db++;
                  }
              }
              sb = 0;
              db = 0;
              tems = 0;
              temd = 0;
              distance = srcW > desW ? srcW : desW;
              for (int i = 0; i <= distance; i++) { /* 水平方向 */
                  tabX[db] = (short) sb;
                  tems += srcW;
                  temd += desW;
                  if (tems > distance) {
                      tems -= distance;
                      sb++;
                  }
                  if (temd > distance) {
                      temd -= distance;
                      db++;
                  }
              }
              // 生成放大縮小后圖形像素buf 
              int[] desBuf = new int[desW * desH];
              int dx = 0;
              int dy = 0;
              int sy = 0;
              int oldy = -1;
              for (int i = 0; i < desH; i++) {
                  if (oldy == tabY[i]) {
                      System.arraycopy(desBuf, dy - desW, desBuf, dy, desW);
                  } else {
                      dx = 0;
                      for (int j = 0; j < desW; j++) {
                          desBuf[dy + dx] = srcBuf[sy + tabX[j]];
                          dx++;
                      }
                      sy += (tabY[i] - oldy) * srcW;
                  }
                  oldy = tabY[i];
                  dy += desW;
              }
              // 生成圖片 
              desImg = Image.createRGBImage(desBuf, desW, desH, true);
              return desImg;
          }   
      


      代碼3,

      public static Image scaleImage(Image original, int newWidth, int newHeight) {
              int[] rawInput = new int[original.getHeight() * original.getWidth()];
              original.getRGB(rawInput, 0, original.getWidth(), 0, 0, original.getWidth(), original.getHeight());
              int[] rawOutput = new int[newWidth * newHeight];
              // YD compensates for the x loop by subtracting the width back out 
              int YD = (original.getHeight() / newHeight) * original.getWidth() - original.getWidth();
              int YR = original.getHeight() % newHeight;
              int XD = original.getWidth() / newWidth;
              int XR = original.getWidth() % newWidth;
             
              int outOffset = 0;
              int inOffset = 0;
              for (int y = newHeight, YE = 0; y > 0; y--) {
                  for (int x = newWidth, XE = 0; x > 0; x--) {
                      rawOutput[outOffset++] = rawInput[inOffset];
                      inOffset += XD;
                      XE += XR;
                      if (XE >= newWidth) {
                          XE -= newWidth;
                          inOffset++;
                      }
                  }
                  inOffset += YD;
                  YE += YR;
                  if (YE >= newHeight) {
                      YE -= newHeight;
                      inOffset += original.getWidth();
                  }
              }
              return Image.createRGBImage(rawOutput, newWidth, newHeight, true);
          } 
      

      我將100*100的圖放大到200*200后對比了一下,ZoomImage生成的圖片和另外兩個函數(shù)生成的圖像有點(diǎn)區(qū)別,感覺ZoomImage的效果好一點(diǎn)。再放大點(diǎn)就基本一樣了看不出區(qū)別了。

       

      代碼4

       /*圖像變換*/
      public Image scaleImage(Image src,int scales1,int scales2)
      {
        return transImage(src,src.getWidth()*scales1/scales2,src.getHeight()*scales1/scales2);
      }
      public Image transImage(Image src, int w, int h)
      {
          int srcW = src.getWidth();
          int srcH = src.getHeight();
          int dstW=w,dstH=h;
          Image tmp = Image.createImage(dstW, srcH);
          Graphics g = tmp.getGraphics();
          int scale=16;   
          int delta = (srcW << scale) / dstW;//掃描長度
          int pos = delta / 2;//掃描位置
          for (int x = 0; x < dstW; x++)
          {
            g.setClip(x, 0, 1, srcH);
            g.drawImage(src, x - (pos >> scale), 0, Graphics.LEFT | Graphics.TOP);
            pos += delta;
          }
          Image dst = Image.createImage( dstW, dstH);
          g = dst.getGraphics();
          delta = (srcH << scale) / dstH;
          pos = delta / 2;
          for (int y = 0; y < dstH; y++)
          {
            g.setClip(0,y, dstW, 1);
            g.drawImage(tmp, 0, y - (pos >> scale), Graphics.LEFT | Graphics.TOP);
            pos += delta;
          }
          return dst;
      }
      

       

      用法舉例:

      1.將一張圖片pic轉(zhuǎn)換成176*208的圖

      pic=transImage(pic,176,208);

      2.將一張圖片pic轉(zhuǎn)換成原來的兩倍大

      pic=scaleImage(pic,2,1);

      3.將一張圖片pic轉(zhuǎn)換成原來的三分之二

      pic=scaleImage(pic,2,3);

      從上面的例子,大家應(yīng)該知道怎么用了吧,呵呵

       

      代碼5,

       

      public static final Image scale (Image srcImage, int newW, int newH) {   
        int srcW = srcImage.getWidth();   
        int srcH = srcImage.getHeight();   
        //先做水平方向上的伸縮變換    
        Image tmp = Image.createImage(newW, srcH);   
        Graphics g = tmp.getGraphics();    
        for (int x = 0; x < newW; x++) {   
            g.setClip(x, 0, 1, srcH);        //按比例放縮        
          g.drawImage(srcImage,x-x*srcW/newW,0,Graphics.LEFT | Graphics.TOP);    
        }    
        //再做垂直方向上的伸縮變換    
        Image dst = Image.createImage(newW, newH);   
        g = dst.getGraphics();    
        for (int y = 0; y < newH; y++) {       
          g.setClip(0, y, newW, 1);        //按比例放縮        
          g.drawImage(tmp,0,y-y*srcH/newH,Graphics.LEFT | Graphics.TOP);   
        }    
        return dst;       
      } 
      

      在諾基亞3250和6230i上面測試了這段代碼,使用的圖片尺寸為60*60,先后將其縮放為30*30和120*120,縮小到30*30的時候,速度很快,放大到120*120的時候感覺稍有停頓。

        本站是提供個人知識管理的網(wǎng)絡(luò)存儲空間,所有內(nèi)容均由用戶發(fā)布,不代表本站觀點(diǎn)。請注意甄別內(nèi)容中的聯(lián)系方式、誘導(dǎo)購買等信息,謹(jǐn)防詐騙。如發(fā)現(xiàn)有害或侵權(quán)內(nèi)容,請點(diǎn)擊一鍵舉報。
        轉(zhuǎn)藏 分享 獻(xiàn)花(0

        0條評論

        發(fā)表

        請遵守用戶 評論公約

        類似文章 更多