android 图片压缩工具类

import java.io.BufferedOutputStream;import java.io.ByteArrayInputStream;import java.io.ByteArrayOutputStream;import java.io.File;import java.io.FileNotFoundException;import java.io.FileOutputStream;import java.io.IOException;import java.io.InputStream;import android.content.Context;import android.graphics.Bitmap;import android.graphics.BitmapFactory;import android.graphics.BitmapFactory.Options;import android.graphics.Matrix;import android.net.Uri;import android.widget.Toast;/** * 圆形图片工具类 *  * @author SKLM *  */public class ImageViewTool {/** * 我们先看下质量压缩方法 *  * @param image * @return */public static Bitmap compressImage(Bitmap image) {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 = 100;while (baos.toByteArray().length / 1024 > 100) { // 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baosimage.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}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;}/** * 图片按比例大小压缩方法（根据路径获取图片并压缩） *  * @param srcPath * @return */public static Bitmap getimage(String srcPath) {BitmapFactory.Options newOpts = new BitmapFactory.Options();// 开始读入图片，此时把options.inJustDecodeBounds 设回true了newOpts.inJustDecodeBounds = true;Bitmap bitmap = BitmapFactory.decodeFile(srcPath, 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 = 800f;// 这里设置高度为800ffloat ww = 480f;// 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);return compressImage(bitmap);// 压缩好比例大小后再进行质量压缩}/** * 图片按比例大小压缩方法（根据Bitmap图片压缩） *  * @param image * @return */public static Bitmap comp(Bitmap image) {ByteArrayOutputStream baos = new ByteArrayOutputStream();image.compress(Bitmap.CompressFormat.JPEG, 100, baos);if (baos.toByteArray().length / 1024 > 1024) {// 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baos.reset();// 重置baos即清空baosimage.compress(Bitmap.CompressFormat.JPEG, 30, baos);// 这里压缩50%，把压缩后的数据存放到baos中}ByteArrayInputStream isBm = new ByteArrayInputStream(baos.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;Bitmap bitmap = BitmapFactory.decodeStream(isBm, null, newOpts);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 = 150f;// 这里设置高度为800ffloat ww = 150f;// 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isBm = new ByteArrayInputStream(baos.toByteArray());bitmap = BitmapFactory.decodeStream(isBm, null, newOpts);return compressImage(bitmap);// 压缩好比例大小后再进行质量压缩}public static byte[] Bitmap2Bytes(Bitmap bm) {ByteArrayOutputStream baos = new ByteArrayOutputStream();bm.compress(Bitmap.CompressFormat.PNG, 100, baos);return baos.toByteArray();}/** * 按原比例压缩图片到指定尺寸 *  * @param context * @param inputUri * @param outputUri * @param maxLenth *            最长边长 */public static void reducePicture(Context context, Uri inputUri,Uri outputUri, int maxLenth, int compress) {Options options = new Options();options.inJustDecodeBounds = true;InputStream is = null;try {is = context.getContentResolver().openInputStream(inputUri);BitmapFactory.decodeStream(is, null, options);is.close();int sampleSize = 1;int longestSide = 0;int longestSideLenth = 0;if (options.outWidth > options.outHeight) {longestSideLenth = options.outWidth;longestSide = 0;} else {longestSideLenth = options.outHeight;longestSide = 1;}if (longestSideLenth > maxLenth) {sampleSize = longestSideLenth / maxLenth;}options.inJustDecodeBounds = false;options.inSampleSize = sampleSize;is = context.getContentResolver().openInputStream(inputUri);Bitmap bitmap = BitmapFactory.decodeStream(is, null, options);is.close();if (bitmap == null) {Toast.makeText(context, "图片获取失败，请确认您的存储卡是否正常",Toast.LENGTH_SHORT).show();return;}Bitmap srcBitmap = bitmap;float scale = 0;if (longestSide == 0) {scale = (float) maxLenth / (float) (srcBitmap.getWidth());} else {scale = (float) maxLenth / (float) (srcBitmap.getHeight());}Matrix matrix = new Matrix();matrix.postScale(scale, scale);bitmap = Bitmap.createBitmap(srcBitmap, 0, 0, srcBitmap.getWidth(),srcBitmap.getHeight(), matrix, true);// 如果尺寸不变会返回本身，所以需要判断是否是统一引用来确定是否需要回收if (srcBitmap != bitmap) {srcBitmap.recycle();srcBitmap = null;}saveBitmapToUri(bitmap, outputUri, compress);bitmap.recycle();bitmap = null;} catch (FileNotFoundException e) {// TODO Auto-generated catch blocke.printStackTrace();} catch (IOException e) {// TODO Auto-generated catch blocke.printStackTrace();}}private static boolean saveBitmapToUri(Bitmap bitmap, Uri uri, int compress)throws IOException {File file = new File(uri.getPath());if (file.exists()) {if (file.delete()) {if (!file.createNewFile()) {return false;}}}BufferedOutputStream outStream = new BufferedOutputStream(new FileOutputStream(file));bitmap.compress(Bitmap.CompressFormat.JPEG, compress, outStream);outStream.flush();outStream.close();return true;}}

接下来看看第二个写法压缩图片的工具类，如下

import java.io.ByteArrayInputStream;import java.io.ByteArrayOutputStream;import java.io.File;import java.io.FileNotFoundException;import java.io.FileOutputStream;import java.io.IOException;import java.sql.Date;import java.text.SimpleDateFormat;import android.graphics.Bitmap;import android.graphics.Bitmap.Config;import android.graphics.BitmapFactory;import android.os.Environment;/** * 图像压缩工厂类 *  * @author *  */public class ImageFactory {/** * 从指定的图像路径获取位图 *  * @param imgPath * @return */public Bitmap getBitmap(String imgPath) {// Get bitmap through image pathBitmapFactory.Options newOpts = new BitmapFactory.Options();newOpts.inJustDecodeBounds = false;newOpts.inPurgeable = true;newOpts.inInputShareable = true;// Do not compressnewOpts.inSampleSize = 1;newOpts.inPreferredConfig = Config.RGB_565;return BitmapFactory.decodeFile(imgPath, newOpts);}/** * 压缩图片（质量压缩） *  * @param bitmap */public static File compressImage(Bitmap bitmap) {ByteArrayOutputStream baos = new ByteArrayOutputStream();bitmap.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 = 100;while (baos.toByteArray().length / 1024 > 500) { // 循环判断如果压缩后图片是否大于500kb,大于继续压缩baos.reset();// 重置baos即清空baosoptions -= 10;// 每次都减少10bitmap.compress(Bitmap.CompressFormat.JPEG, options, baos);// 这里压缩options%，把压缩后的数据存放到baos中long length = baos.toByteArray().length;}SimpleDateFormat format = new SimpleDateFormat("yyyyMMddHHmmss");Date date = new Date(System.currentTimeMillis());String filename = format.format(date);File file = new File(Environment.getExternalStorageDirectory(), filename + ".png");try {FileOutputStream fos = new FileOutputStream(file);try {fos.write(baos.toByteArray());fos.flush();fos.close();} catch (IOException e) {e.printStackTrace();}} catch (FileNotFoundException e) {e.printStackTrace();}recycleBitmap(bitmap);return file;}public static void recycleBitmap(Bitmap... bitmaps) {if (bitmaps == null) {return;}for (Bitmap bm : bitmaps) {if (null != bm && !bm.isRecycled()) {bm.recycle();}}}/** * 将位图存储到指定的图像路径中 *  * @param bitmap * @param outPath * @throws FileNotFoundException */public void storeImage(Bitmap bitmap, String outPath) throws FileNotFoundException {FileOutputStream os = new FileOutputStream(outPath);bitmap.compress(Bitmap.CompressFormat.JPEG, 100, os);}/** * 通过像素压缩图像，这将改变图像的宽度/高度。用于获取缩略图 *  *  * @param imgPath *            image path * @param pixelW *            目标宽度像素 * @param pixelH *            高度目标像素 * @return */public Bitmap ratio(String imgPath, float pixelW, float pixelH) {BitmapFactory.Options newOpts = new BitmapFactory.Options();// 开始读入图片，此时把options.inJustDecodeBounds 设回true，即只读边不读内容newOpts.inJustDecodeBounds = true;newOpts.inPreferredConfig = Config.RGB_565;// Get bitmap info, but notice that bitmap is null nowBitmap bitmap = BitmapFactory.decodeFile(imgPath, newOpts);newOpts.inJustDecodeBounds = false;int w = newOpts.outWidth;int h = newOpts.outHeight;// 想要缩放的目标尺寸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// 开始压缩图片，注意此时已经把options.inJustDecodeBounds 设回false了bitmap = BitmapFactory.decodeFile(imgPath, newOpts);// 压缩好比例大小后再进行质量压缩// return compress(bitmap, maxSize); // 这里再进行质量压缩的意义不大，反而耗资源，删除return bitmap;}/** * 压缩图像的大小，这将修改图像宽度/高度。用于获取缩略图 *  *  * @param image * @param pixelW *            target pixel of width * @param pixelH *            target pixel of height * @return */public Bitmap ratio(Bitmap image, float pixelW, float pixelH) {ByteArrayOutputStream os = new ByteArrayOutputStream();image.compress(Bitmap.CompressFormat.JPEG, 100, os);if (os.toByteArray().length / 1024 > 1024) {// 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os.reset();// 重置baos即清空baosimage.compress(Bitmap.CompressFormat.JPEG, 50, 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 = 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// return compress(bitmap, maxSize); // 这里再进行质量压缩的意义不大，反而耗资源，删除return bitmap;}/** * 按质量压缩，并将图像生成指定的路径 *  * @param image * @param outPath * @param maxSize *            目标将被压缩到小于这个大小（KB）。 * @throws IOException */public void compressAndGenImage(Bitmap image, String outPath, int maxSize) throws IOException {ByteArrayOutputStream os = new ByteArrayOutputStream();// scaleint options = 100;// Store the bitmap into output stream(no compress)image.compress(Bitmap.CompressFormat.JPEG, options, os);// Compress by loopwhile (os.toByteArray().length / 1024 > maxSize) {// Clean up osos.reset();// interval 10options -= 10;image.compress(Bitmap.CompressFormat.JPEG, options, os);}// Generate compressed image fileFileOutputStream fos = new FileOutputStream(outPath);fos.write(os.toByteArray());fos.flush();fos.close();}/** * 按质量压缩，并将图像生成指定的路径 *  * @param imgPath * @param outPath * @param maxSize *            目标将被压缩到小于这个大小（KB）。 * @param needsDelete *            是否压缩后删除原始文件 * @throws IOException */public void compressAndGenImage(String imgPath, String outPath, int maxSize, boolean needsDelete)throws IOException {compressAndGenImage(getBitmap(imgPath), outPath, maxSize);// Delete original fileif (needsDelete) {File file = new File(imgPath);if (file.exists()) {file.delete();}}}/** * 比例和生成拇指的路径指定 *  * @param image * @param outPath * @param pixelW *            目标宽度像素 * @param pixelH *            高度目标像素 * @throws FileNotFoundException */public void ratioAndGenThumb(Bitmap image, String outPath, float pixelW, float pixelH)throws FileNotFoundException {Bitmap bitmap = ratio(image, pixelW, pixelH);storeImage(bitmap, outPath);}/** * 比例和生成拇指的路径指定 *  * @param image * @param outPath * @param pixelW *            目标宽度像素 * @param pixelH *            高度目标像素 * @param needsDelete *            是否压缩后删除原始文件 * @throws FileNotFoundException */public void ratioAndGenThumb(String imgPath, String outPath, float pixelW, float pixelH, boolean needsDelete)throws FileNotFoundException {Bitmap bitmap = ratio(imgPath, pixelW, pixelH);storeImage(bitmap, outPath);// Delete original fileif (needsDelete) {File file = new File(imgPath);if (file.exists()) {file.delete();}}}}