直播视频网站源码,多媒体图片压缩工具类相关的代码
代码语言:javascript复制public class MediaUtils {
private MediaUtils() {
throw new UnsupportedOperationException("cannot be instantiated");
}
/**
* @param bMute 值为true时为关闭背景音乐。
*/
@TargetApi(Build.VERSION_CODES.FROYO) public static boolean muteAudioFocus(Context context,
boolean bMute) {
boolean bool = false;
AudioManager am = (AudioManager) context.getSystemService(Context.AUDIO_SERVICE);
if (bMute) {
int result =
am.requestAudioFocus(null, AudioManager.STREAM_MUSIC, AudioManager.AUDIOFOCUS_GAIN_TRANSIENT);
bool = result == AudioManager.AUDIOFOCUS_REQUEST_GRANTED;
} else {
int result = am.abandonAudioFocus(null);
bool = result == AudioManager.AUDIOFOCUS_REQUEST_GRANTED;
}
return bool;
}
/*
* 3.质量压缩
* 设置bitmap options属性,降低图片的质量,像素不会减少
* 第一个参数为需要压缩的bitmap图片对象,第二个参数为压缩后图片保存的位置
* 设置options 属性0-100,来实现压缩
*
* @param bmp
* @param file
*/
public static void qualityCompress(String imgPath, String outImg) {
File file = new File(outImg);
FileInputStream fis = null;
try {
fis = new FileInputStream(imgPath);
} catch (FileNotFoundException e) {
e.printStackTrace();
}
Bitmap bitmap = BitmapFactory.decodeStream(fis);
ByteArrayOutputStream baos = new ByteArrayOutputStream();
int options = 20;
bitmap.compress(Bitmap.CompressFormat.JPEG, options, baos);
while (baos.toByteArray().length / 1024 > 190 && options > 5) { // 循环判断如果压缩后图片是否大于100kb,大于继续压缩
baos.reset(); // 重置baos即清空baos
bitmap.compress(Bitmap.CompressFormat.JPEG, options, baos);// 这里压缩options%,把压缩后的数据存放到baos中
options -= 5;// 每次都减少5
}
try {
FileOutputStream fos = new FileOutputStream(file);
fos.write(baos.toByteArray());
fos.flush();
fos.close();
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 质量压缩方法
*/
public static void compressImage(Bitmap image, String outImg) {
File file = new File(outImg);
ByteArrayOutputStream baos = new ByteArrayOutputStream();
image.compress(Bitmap.CompressFormat.JPEG, 100, baos);// 质量压缩方法,这里100表示不压缩,把压缩后的数据存放到baos中
/*int options = 90;
while (baos.toByteArray().length / 1024 > 200 && options >= 10) { // 循环判断如果压缩后图片是否大于100kb,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 -= 10;// 每次都减少10
LogUtil.e("图片压缩中", "");
LogUtil.e("options:", "" options);
}*/
try {
FileOutputStream fos = new FileOutputStream(file);
fos.write(baos.toByteArray());
fos.flush();
fos.close();
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* Compress image by size, this will modify image width/height.
* Used to get thumbnail
*
* @param pixelW target pixel of width
* @param pixelH target pixel of height
*/
public static void ratio(String imgPath, String outImg, float pixelW, float pixelH) {
FileInputStream fis = null;
try {
fis = new FileInputStream(imgPath);
} catch (FileNotFoundException e) {
e.printStackTrace();
}
Bitmap image = BitmapFactory.decodeStream(fis);
ByteArrayOutputStream os = new ByteArrayOutputStream();
image.compress(Bitmap.CompressFormat.JPEG, 100, os);
//判断如果图片大于1M,进行压缩避免在生成图片(BitmapFactory.decodeStream)时溢出
if (os.toByteArray().length / 1024 > 180) {
os.reset();//重置baos即清空baos
image.compress(Bitmap.CompressFormat.JPEG, 90, os);//这里压缩50%,把压缩后的数据存放到baos中
}
ByteArrayInputStream is = new ByteArrayInputStream(os.toByteArray());
BitmapFactory.Options newOpts = new BitmapFactory.Options();
//开始读入图片,此时把options.inJustDecodeBounds 设回true了
newOpts.inJustDecodeBounds = true;
newOpts.inPreferredConfig = Bitmap.Config.RGB_565;
Bitmap bitmap = BitmapFactory.decodeStream(is, null, newOpts);
newOpts.inJustDecodeBounds = false;
int w = newOpts.outWidth;
int h = newOpts.outHeight;
float hh = pixelH;// 设置高度为240f时,可以明显看到图片缩小了
float ww = pixelW;// 设置宽度为120f,可以明显看到图片缩小了
//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
is = new ByteArrayInputStream(os.toByteArray());
bitmap = BitmapFactory.decodeStream(is, null, newOpts);
//压缩好比例大小后再进行质量压缩
compressImage(bitmap, outImg);
}
}
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