android图片处理（圆角，压缩）详解编程语言

public class BitmapUtils { 
 
    /** 
     * 图像背景圆角处理 
     * bitmap要处理的图片 roundPx 图片弯角的圆度一般是5到10之间 
     */ 
    public static Bitmap getRoundedCornerBitmap(Bitmap bitmap, float roundPx) { 
        // 创建与原图大小一样的bitmap文件，Config.ARGB_8888根据情况可以改用其它的 
        Bitmap output = Bitmap.createBitmap(bitmap.getWidth(), bitmap.getHeight(), Config.ARGB_8888); 
        // 实例画布，绘制的bitmap将保存至output中 
        Canvas canvas = new Canvas(output); 
        final int color = 0xff424242;//写自己需要的颜色值 
        final Paint paint = new Paint(); 
        final Rect rect = new Rect(0, 0, bitmap.getWidth(), bitmap.getHeight()); 
        final RectF rectF = new RectF(rect); 
        paint.setAntiAlias(true); 
        canvas.drawARGB(0, 0, 0, 0); 
        paint.setColor(color); 
        canvas.drawRoundRect(rectF, roundPx, roundPx, paint); 
        paint.setXfermode(new PorterDuffXfermode(android.graphics.PorterDuff.Mode.SRC_IN)); 
        canvas.drawBitmap(bitmap, rect, rect, paint); 
        bitmap.recycle(); 
        bitmap = null; 
        return output; 
    } 
 
    /** 
     * bitmap缩放 
     * width要缩放的宽度 height要缩放的高度 
     */ 
    public static Bitmap getBitmapDeflation(Bitmap bitmap, int width, int height, boolean recycle) { 
 
        if (null == bitmap) { 
 
          return null; 
 
          } 
        float scaleWidth = 0f; 
        float scaleHeight = 0f; 
        // 获取bitmap宽高 
        int bitmapWidth = bitmap.getWidth(); 
        int bitmapHeight = bitmap.getHeight(); 
        // 计算缩放比,图片的宽高小于指定的宽高则不缩放 
        if (width < bitmapWidth) { 
            scaleWidth = ((float) width) / bitmapWidth; 
        } else { 
            scaleWidth = 1.00f; 
        } 
        if (height < bitmapHeight) { 
            scaleHeight = ((float) height) / bitmapHeight; 
        } else { 
            scaleHeight = 1.00f; 
        } 
        Matrix matrix = new Matrix(); 
        matrix.postScale(scaleWidth, scaleHeight); 
 
        Bitmap newBitmap = Bitmap.createBitmap(bitmap, 0, 0, bitmapWidth, bitmapHeight, matrix, true); 
        if (recycle && !bitmap.isRecycled()) { 
            bitmap.recycle(); 
        } 
        bitmap = null; 
 
        return newBitmap; 
    } 
 
    /** 
     * 
     * 方法概述：进入图片的大小与质量压缩，用于区分大小图片 
     */ 
    public static Bitmap getCompressedImage(String srcPath) { 
        BitmapFactory.Options newOpts = new BitmapFactory.Options(); 
        // 开始读入图片，此时把options.inJustDecodeBounds 设回true了 
        newOpts.inPreferredConfig = Bitmap.Config.RGB_565; 
        newOpts.inPurgeable = true; 
        newOpts.inJustDecodeBounds = true; 
        FileInputStream is = null; 
        try { 
            is = new FileInputStream(srcPath); 
        } catch (FileNotFoundException e) { 
            e.printStackTrace(); 
        } 
        Bitmap bitmap = BitmapFactory.decodeStream(is, null, newOpts);// 此时返回bm为空 
        newOpts.inJustDecodeBounds = false; 
        int w = newOpts.outWidth; 
        int h = newOpts.outHeight; 
        // 现在主流手机比较多是800*480分辨率，所以高和宽我们设置为 
        float hh = 130f;// 这里设置高度为800f 
        float ww = 130f;// 这里设置宽度为480f 
        // 缩放比。由于是固定比例缩放，只用高或者宽其中一个数据进行计算即可 
        int be = 1;// be=1表示不缩放 
        if (w > h && w > ww) {// 如果宽度大的话根据宽度固定大小缩放 
            be = (int) (newOpts.outWidth / ww); 
        } else if (w < h && h > hh) {// 如果高度高的话根据宽度固定大小缩放 
            be = (int) (newOpts.outHeight / hh); 
        } 
        if (be <= 0) { 
            be = 1; 
        } 
        newOpts.inSampleSize = be;// 设置缩放比例 
        // 重新读入图片，注意此时已经把options.inJustDecodeBounds 设回false了 
        bitmap = BitmapFactory.decodeFile(srcPath, newOpts); 
        if (bitmap != null) { return compressImageSize(bitmap, 8);// 压缩好比例大小后再进行质量压缩 
        } 
        return null; 
    } 
 
    /** 
     * 
     * 方法概述：图片质量压缩 
     */ 
    protected static Bitmap compressImageSize(Bitmap image, int size) { 
        if (image == null) 
            return image; 
 
        ByteArrayOutputStream baos = new ByteArrayOutputStream(); 
        image.compress(Bitmap.CompressFormat.JPEG, 100, baos);// 质量压缩方法，这里10表示不压缩，把压缩后的数据存放到baos中 
        int options = 100; 
        while (baos.toByteArray().length / 1000 > size && options / 3 > 0) { // 循环判断如果压缩后图片是否大于10kb,大于继续压缩 
            baos.reset();// 重置baos即清空baos 
            image.compress(Bitmap.CompressFormat.JPEG, options, baos);// 这里压缩options%，把压缩后的数据存放到baos中 
            options -= options / 3;// 每次都减少30% 
        } 
 
        ByteArrayInputStream isBm = new ByteArrayInputStream(baos.toByteArray());// 把压缩后的数据baos存放到ByteArrayInputStream中 
        Bitmap bitmap = BitmapFactory.decodeStream(isBm, null, null);// 把ByteArrayInputStream数据生成图片 
        return bitmap; 
    } 
 
    /** 
     * 
     * 方法概述：保存图片 
     */ 
    public static String saveBitmapWithName(String path, String bitName, Bitmap mBitmap) { 
        File f = new File(path + bitName + ".png"); 
        String url = path + bitName + ".png"; 
        try { 
            f.createNewFile(); 
        } catch (IOException e) { 
            System.out.println("文件创建出错"); 
        } 
        FileOutputStream fOut = null; 
        try { 
            fOut = new FileOutputStream(f); 
        } catch (FileNotFoundException e) { 
            System.out.println(" 创建文件流失败"); 
            e.printStackTrace(); 
        } 
        mBitmap.compress(Bitmap.CompressFormat.PNG, 100, fOut); 
        try { 
            fOut.flush(); 
        } catch (IOException e) { 
            e.printStackTrace(); 
        } 
        try { 
            fOut.close(); 
        } catch (IOException e) { 
            e.printStackTrace(); 
        } 
        return url; 
    } 
 
    /** 
     * 
     * 方法概述：根据传入参数保存图片 
     */ 
    public static boolean saveImageTo(Bitmap photo, String spath) { 
        try { 
            BufferedOutputStream bos = new BufferedOutputStream(new FileOutputStream(spath, false)); 
            photo.compress(Bitmap.CompressFormat.PNG, 100, bos); 
            bos.flush(); 
            bos.close(); 
        } catch (Exception e) { 
            e.printStackTrace(); 
            return false; 
        } 
        return true; 
    } 
 
}