概述
我们平时工作中经常会处理Bitmap图片,有些网上下载下来的图片很大,比如1024*1024分辨率的图片,采用ARGB8888格式存储,每个像素占4个字节,就是1024*1024*4=4M,一张图片就这么大了,如果我们不进行压缩处理的话,很容易引起OOM,所以我们经常要对下载下来的图片进行压缩处理,如果每次都让用户重新去网上请求数据,这样显然是不合理的,对于已经下载下来的图片,当然要做缓存,我们可以做内存缓冲,再加一次存储设备的缓存,这样用户下次加载这个图片的时候,先去内存中读取,如果内存中已经没有了,再去存储设备上读取,如果存储设备上的缓存也没了,再去网上重新下载,这样节省了用户流量,提升了速度,也提升了用户体验。
BitmapFactory提供了decodeFile,decodeFileDescriptor,decodeResource,decodeStream,decodeByteArray等方法,分别用于从文件,资源,输入流以及字节数组中加载出一个Bitmap对象,BitmapFactory.Options里有一个很重要的成员变量inSampleSize,它就是用来缩放图片的,当inSampleSize为1时,图片大小不变,当inSampleSize为2时,缩放后的图片宽和高都为原来的1/2,那么整体像素数就是原来的1/4,图片大小也为原来的1/4,当
inSampleSize为4时,图片大小为原来的1/16,依次类推,再说BitmapFactory.Options另外一个成员变量inJustDecodeBounds,当inJustDecodeBounds为true时,调用decodeResource相关方法时,比如:
BitmapFactory.decodeResource(res, resId, options);
并不会真的生成一个Bitmap对象,但是该资源的真实大小已经传到参数options里了,这是一个轻量级的操作,我们一般先这么做获取到数据源图片的真实大小,然后再根据我们想设定的大小,计算出inSampleSize,然后对图片进行压缩,举个例子:
public Bitmap decodeSampledBitmapFromResource(Resources res,
int resId, int reqWidth, int reqHeight) {
// First decode with inJustDecodeBounds=true to check dimensions
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeResource(res, resId, options);
// Calculate inSampleSize
options.inSampleSize = calculateInSampleSize(options, reqWidth,
reqHeight);
// Decode bitmap with inSampleSize set
options.inJustDecodeBounds = false;
return BitmapFactory.decodeResource(res, resId, options);
}
public static int calculateInSampleSize(BitmapFactory.Options options,
int reqWidth, int reqHeight) {
// 源图片的高度和宽度
final int height = options.outHeight;
final int width = options.outWidth;
int inSampleSize = 1;
if (height > reqHeight || width > reqWidth) {
// 计算出实际宽高和目标宽高的比率
final int heightRatio = Math.round((float) height / (float) reqHeight);
final int widthRatio = Math.round((float) width / (float) reqWidth);
// 选择宽和高中最大的比率作为inSampleSize的值,这样可以保证最终图片的宽和高
// 一定都会大于等于目标的宽和高。
inSampleSize = heightRatio < widthRatio ? widthRatio : heightRatio;
}
return inSampleSize;
}
先把options.inJustDecodeBounds设置为true,然后调用BitmapFactory.decodeResource(res, resId, options),这样真实数据源的大小就会传到参数options里,然后调用calculateInSampleSize来计算inSampleSize,通过看源码我们可以知道取宽和高中最大的比率作为inSampleSize的值,这样可以保证最终图片的宽和高,然后再把options.inJustDecodeBounds设置为false,最后再次调用BitmapFactory.decodeResource(res, resId, options),生成Bitmap,通过以上步骤,就可以得到我们压缩后的图片了,最开始的函数Bitmap decodeSampledBitmapFromResource(Resources res,int resId, int reqWidth, int reqHeight)的最后两个参数,是用户希望缩放到的大小,应该很清晰了吧,下面看几个其他decode的例子:
public Bitmap decodeSampledBitmapFromFileDescriptor(FileDescriptor fd, int reqWidth, int reqHeight) {
// First decode with inJustDecodeBounds=true to check dimensions
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeFileDescriptor(fd, null, options);
// Calculate inSampleSize
options.inSampleSize = calculateInSampleSize(options, reqWidth,
reqHeight);
// Decode bitmap with inSampleSize set
options.inJustDecodeBounds = false;
return BitmapFactory.decodeFileDescriptor(fd, null, options);
}
看源码decodeFileDescriptor直接调用了底层的natvie方法,效率会比decodeFile高一些
private Bitmap decodeSampledBitmapFromFile(String pathName,
int reqWidth, int reqHeight) {
// 第一次解析将inJustDecodeBounds设置为true,来获取图片大小
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeFile(pathName, options);
options.inSampleSize = calculateInSampleSize(options, reqWidth,
reqHeight);
// 使用获取到的inSampleSize值再次解析图片
options.inJustDecodeBounds = false;
return BitmapFactory.decodeFile(pathName, options);
}
下面看下decodeStream:
private Bitmap downloadBitmapFromUrl(String urlString) {
Bitmap bitmap = null;
HttpURLConnection urlConnection = null;
BufferedInputStream in = null;
try {
final URL url = new URL(urlString);
urlConnection = (HttpURLConnection) url.openConnection();
in = new BufferedInputStream(urlConnection.getInputStream(),
IO_BUFFER_SIZE);
bitmap = BitmapFactory.decodeStream(in);
} catch (final IOException e) {
Log.e(TAG, "Error in downloadBitmap: " + e);
} finally {
if (urlConnection != null) {
urlConnection.disconnect();
}
MyUtils.close(in);
}
return bitmap;
}
通过上面的各个例子代码,我们发现其实都是差不多,图片压缩就讲到这里,下面来谈谈图片缓存:
内存级别的缓存我们用到LruCache类,存储设备的缓存我们用到DiskLruCache,前者目前已经在android源码里有了,后者需要去网上下载,但是据说是Goole推荐的方法了。
我们先看下LruCache怎么用:
private LruCache<String, Bitmap> mMemoryCache;
int maxMemory = (int) (Runtime.getRuntime().maxMemory() / 1024);
int cacheSize = maxMemory / 8;
mMemoryCache = new LruCache<String, Bitmap>(cacheSize) {
@Override
protected int sizeOf(String key, Bitmap bitmap) {
return bitmap.getRowBytes() * bitmap.getHeight() / 1024;
}
};
private void addBitmapToMemoryCache(String key, Bitmap bitmap) {
if (getBitmapFromMemCache(key) == null) {
mMemoryCache.put(key, bitmap);
}
}
private Bitmap getBitmapFromMemCache(String key) {
return mMemoryCache.get(key);
}
cacheSize设置为当前应用可分配最大内存的1/8,sizeOf返回的是单个图片的大小,通过mMemoryCache.put(key, bitmap);往缓存中添加一个bitmap,通过mMemoryCache.get(key)从缓存中得到一个bitmap,LruCache缓存策略在缓存空间不够的时候会把最近最少使用的图片清楚掉,查看源码发现,LruCache里有一个LinkedHashMap
public final V put(K key, V value) {
if (key == null || value == null) {
throw new NullPointerException("key == null || value == null");
}
V previous;
synchronized (this) {
putCount++;
size += safeSizeOf(key, value);
previous = map.put(key, value);
if (previous != null) {
size -= safeSizeOf(key, previous);
}
}
if (previous != null) {
entryRemoved(false, key, previous, value);
}
trimToSize(maxSize);
return previous;
}
调用了trimToSize方法:
public void trimToSize(int maxSize) {
while (true) {
K key;
V value;
synchronized (this) {
if (size < 0 || (map.isEmpty() && size != 0)) {
throw new IllegalStateException(getClass().getName()
+ ".sizeOf() is reporting inconsistent results!");
}
if (size <= maxSize || map.isEmpty()) {
break;
}
Map.Entry<K, V> toEvict = map.entrySet().iterator().next();
key = toEvict.getKey();
value = toEvict.getValue();
map.remove(key);
size -= safeSizeOf(key, value);
evictionCount++;
}
entryRemoved(true, key, value, null);
}
}
里面是一个while(true)的循环,除非当前大小小于最大值,或者map是空,否则就会把链表末尾的数据给清楚掉,LruCache就说到这里,下面来看DiskLruCache:
private static final long DISK_CACHE_SIZE = 1024 * 1024 * 50;
File diskCacheDir = getDiskCacheDir(mContext, "bitmap");
if (!diskCacheDir.exists()) {
diskCacheDir.mkdirs();
}
if (getUsableSpace(diskCacheDir) > DISK_CACHE_SIZE) {
try {
mDiskLruCache = DiskLruCache.open(diskCacheDir, 1, 1,
DISK_CACHE_SIZE);
mIsDiskLruCacheCreated = true;
} catch (IOException e) {
e.printStackTrace();
}
}
public File getDiskCacheDir(Context context, String uniqueName) {
boolean externalStorageAvailable = Environment
.getExternalStorageState().equals(Environment.MEDIA_MOUNTED);
final String cachePath;
if (externalStorageAvailable) {
cachePath = context.getExternalCacheDir().getPath();
} else {
cachePath = context.getCacheDir().getPath();
}
return new File(cachePath + File.separator + uniqueName);
}
@TargetApi(VERSION_CODES.GINGERBREAD)
private long getUsableSpace(File path) {
if (Build.VERSION.SDK_INT >= VERSION_CODES.GINGERBREAD) {
return path.getUsableSpace();
}
final StatFs stats = new StatFs(path.getPath());
return (long) stats.getBlockSize() * (long) stats.getAvailableBlocks();
}
getDiskCacheDir创建一个存储缓存的路径,getUsableSpace获取当前路径的可用空间,如果大于DISK_CACHE_SIZE = 1024 * 1024 * 50 //50M的话,就创建DiskLruCache这个对象,下面我们看看怎么从缓存中读取和怎么写入缓存:
String key = hashKeyFormUrl(url);
DiskLruCache.Editor editor = mDiskLruCache.edit(key);
if (editor != null) {
OutputStream outputStream = editor.newOutputStream(DISK_CACHE_INDEX);
if (downloadUrlToStream(url, outputStream)) {
editor.commit();
} else {
editor.abort();
}
mDiskLruCache.flush();
}
public boolean downloadUrlToStream(String urlString,
OutputStream outputStream) {
HttpURLConnection urlConnection = null;
BufferedOutputStream out = null;
BufferedInputStream in = null;
try {
final URL url = new URL(urlString);
urlConnection = (HttpURLConnection) url.openConnection();
in = new BufferedInputStream(urlConnection.getInputStream(),
IO_BUFFER_SIZE);
out = new BufferedOutputStream(outputStream, IO_BUFFER_SIZE);
int b;
while ((b = in.read()) != -1) {
out.write(b);
}
return true;
} catch (IOException e) {
Log.e(TAG, "downloadBitmap failed." + e);
} finally {
if (urlConnection != null) {
urlConnection.disconnect();
}
try {
if (out != null) {
out.close();
}
if (in != null) {
in.close();
}
} catch (IOException e) {
e.printStackTrace();
}
}
return false;
}
private String hashKeyFormUrl(String url) {
String cacheKey;
try {
final MessageDigest mDigest = MessageDigest.getInstance("MD5");
mDigest.update(url.getBytes());
cacheKey = bytesToHexString(mDigest.digest());
} catch (NoSuchAlgorithmException e) {
cacheKey = String.valueOf(url.hashCode());
}
return cacheKey;
}
private String bytesToHexString(byte[] bytes) {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < bytes.length; i++) {
String hex = Integer.toHexString(0xFF & bytes[i]);
if (hex.length() == 1) {
sb.append('0');
}
sb.append(hex);
}
return sb.toString();
}
这里取url的md5值作为key,DiskLruCache.Editor editor = mDiskLruCache.edit(key);通过edit方法获取到一个DiskLruCache.Editor,OutputStream outputStream = editor.newOutputStream(DISK_CACHE_INDEX);拿到outputStream ,只要往outputStream 写入数据,就是存到了缓存上,接下来看看怎么写入:
private Bitmap loadBitmapFromDiskCache(String url, int reqWidth,
int reqHeight) throws IOException {
if (Looper.myLooper() == Looper.getMainLooper()) {
Log.w(TAG, "load bitmap from UI Thread, it's not recommended!");
}
if (mDiskLruCache == null) {
return null;
}
Bitmap bitmap = null;
String key = hashKeyFormUrl(url);
DiskLruCache.Snapshot snapShot = mDiskLruCache.get(key);
if (snapShot != null) {
FileInputStream fileInputStream = (FileInputStream)snapShot.getInputStream(DISK_CACHE_INDEX);
FileDescriptor fileDescriptor = fileInputStream.getFD();
bitmap = decodeSampledBitmapFromFileDescriptor(fileDescriptor,
reqWidth, reqHeight);
if (bitmap != null) {
addBitmapToMemoryCache(key, bitmap);
}
}
return bitmap;
}
通过mDiskLruCache.get(key)获取到一个DiskLruCache.Snapshot,通过FileInputStream fileInputStream = (FileInputStream)snapShot.getInputStream(DISK_CACHE_INDEX);获取到FileInputStream ,然后就可以读了,通过源码我们看到DiskLruCache跟LruCache一样,也有一个LinkedHashMap,那么也是最近最少使用算法了,由于是存到文件系统中,DiskLruCache维护了一个journal日志文件,里面会记录了每次存取的key值,每次用的时候去这个日志文件中读key值,然后把key值赋给LinkedHashMap,接下来就跟LruCache类似了,好了DiskLruCache就介绍到这里,下面我贴出一个完整的代码,是一个自己写的ImageLoader,用了LruCache缓存和DiskLruCache缓存,摘杂android开发艺术探索,先看核心代码:
public Bitmap loadBitmap(String uri, int reqWidth, int reqHeight) {
Bitmap bitmap = loadBitmapFromMemCache(uri);
if (bitmap != null) {
Log.d(TAG, "loadBitmapFromMemCache,url:" + uri);
return bitmap;
}
try {
bitmap = loadBitmapFromDiskCache(uri, reqWidth, reqHeight);
if (bitmap != null) {
Log.d(TAG, "loadBitmapFromDisk,url:" + uri);
return bitmap;
}
bitmap = loadBitmapFromHttp(uri, reqWidth, reqHeight);
Log.d(TAG, "loadBitmapFromHttp,url:" + uri);
} catch (IOException e) {
e.printStackTrace();
}
if (bitmap == null && !mIsDiskLruCacheCreated) {
Log.w(TAG, "encounter error, DiskLruCache is not created.");
bitmap = downloadBitmapFromUrl(uri);
}
return bitmap;
}
先从内存缓存中读取,如果没有再去文件缓存中读取,还没有就下载到文件缓存再添加到内存缓存中,如果没有设置文件缓存,就直接从网上下载,下面是全部代码:
package com.fq.myimageloader;
import java.io.BufferedInputStream;
import java.io.BufferedOutputStream;
import java.io.File;
import java.io.FileDescriptor;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException;
import java.util.concurrent.Executor;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.ThreadFactory;
import java.util.concurrent.ThreadPoolExecutor;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;
import android.annotation.TargetApi;
import android.content.Context;
import android.content.res.Resources;
import android.graphics.Bitmap;
import android.graphics.BitmapFactory;
import android.os.Build;
import android.os.Build.VERSION_CODES;
import android.os.Environment;
import android.os.Handler;
import android.os.Looper;
import android.os.Message;
import android.os.StatFs;
import android.support.v4.util.LruCache;
import android.util.Log;
import android.widget.ImageView;
public class MyImageLoader {
private static final String TAG = "ImageLoader";
public static final int MESSAGE_POST_RESULT = 1;
private static final int CPU_COUNT = Runtime.getRuntime()
.availableProcessors();
private static final int CORE_POOL_SIZE = CPU_COUNT + 1;
private static final int MAXIMUM_POOL_SIZE = CPU_COUNT * 2 + 1;
private static final long KEEP_ALIVE = 10L;
private static final int TAG_KEY_URI = R.id.imageloader_uri;
private static final long DISK_CACHE_SIZE = 1024 * 1024 * 50;
private static final int IO_BUFFER_SIZE = 8 * 1024;
private static final int DISK_CACHE_INDEX = 0;
private boolean mIsDiskLruCacheCreated = false;
private static final ThreadFactory sThreadFactory = new ThreadFactory() {
private final AtomicInteger mCount = new AtomicInteger(1);
public Thread newThread(Runnable r) {
return new Thread(r, "ImageLoader#" + mCount.getAndIncrement());
}
};
public static final Executor THREAD_POOL_EXECUTOR = new ThreadPoolExecutor(
CORE_POOL_SIZE, MAXIMUM_POOL_SIZE,
KEEP_ALIVE, TimeUnit.SECONDS,
new LinkedBlockingQueue<Runnable>(), sThreadFactory);
private Handler mMainHandler = new Handler(Looper.getMainLooper()) {
@Override
public void handleMessage(Message msg) {
LoaderResult result = (LoaderResult) msg.obj;
ImageView imageView = result.imageView;
imageView.setImageBitmap(result.bitmap);
String uri = (String) imageView.getTag(TAG_KEY_URI);
if (uri.equals(result.uri)) {
imageView.setImageBitmap(result.bitmap);
} else {
Log.w(TAG, "set image bitmap,but url has changed, ignored!");
}
}
};
private Context mContext;
private LruCache<String, Bitmap> mMemoryCache;
private DiskLruCache mDiskLruCache;
public MyImageLoader(Context context) {
mContext = context.getApplicationContext();
int maxMemory = (int) (Runtime.getRuntime().maxMemory() / 1024);
int cacheSize = maxMemory / 8;
mMemoryCache = new LruCache<String, Bitmap>(cacheSize) {
@Override
protected int sizeOf(String key, Bitmap bitmap) {
return bitmap.getRowBytes() * bitmap.getHeight() / 1024;
}
};
File diskCacheDir = getDiskCacheDir(mContext, "bitmap");
if (!diskCacheDir.exists()) {
diskCacheDir.mkdirs();
}
if (getUsableSpace(diskCacheDir) > DISK_CACHE_SIZE) {
try {
mDiskLruCache = DiskLruCache.open(diskCacheDir, 1, 1,
DISK_CACHE_SIZE);
mIsDiskLruCacheCreated = true;
} catch (IOException e) {
e.printStackTrace();
}
}
}
private void addBitmapToMemoryCache(String key, Bitmap bitmap) {
if (getBitmapFromMemCache(key) == null) {
mMemoryCache.put(key, bitmap);
}
}
private Bitmap getBitmapFromMemCache(String key) {
return mMemoryCache.get(key);
}
/**
* load bitmap from memory cache or disk cache or network async, then bind imageView and bitmap.
* NOTE THAT: should run in UI Thread
* @param uri http url
* @param imageView bitmap's bind object
*/
public void bindBitmap(final String uri, final ImageView imageView) {
bindBitmap(uri, imageView, 0, 0);
}
public void bindBitmap(final String uri, final ImageView imageView,
final int reqWidth, final int reqHeight) {
imageView.setTag(TAG_KEY_URI, uri);
Bitmap bitmap = loadBitmapFromMemCache(uri);
if (bitmap != null) {
imageView.setImageBitmap(bitmap);
return;
}
Runnable loadBitmapTask = new Runnable() {
@Override
public void run() {
Bitmap bitmap = loadBitmap(uri, reqWidth, reqHeight);
if (bitmap != null) {
LoaderResult result = new LoaderResult(imageView, uri, bitmap);
mMainHandler.obtainMessage(MESSAGE_POST_RESULT, result).sendToTarget();
}
}
};
THREAD_POOL_EXECUTOR.execute(loadBitmapTask);
}
/**
* load bitmap from memory cache or disk cache or network.
* @param uri http url
* @param reqWidth the width ImageView desired
* @param reqHeight the height ImageView desired
* @return bitmap, maybe null.
*/
public Bitmap loadBitmap(String uri, int reqWidth, int reqHeight) {
Bitmap bitmap = loadBitmapFromMemCache(uri);
if (bitmap != null) {
Log.d(TAG, "loadBitmapFromMemCache,url:" + uri);
return bitmap;
}
try {
bitmap = loadBitmapFromDiskCache(uri, reqWidth, reqHeight);
if (bitmap != null) {
Log.d(TAG, "loadBitmapFromDisk,url:" + uri);
return bitmap;
}
bitmap = loadBitmapFromHttp(uri, reqWidth, reqHeight);
Log.d(TAG, "loadBitmapFromHttp,url:" + uri);
} catch (IOException e) {
e.printStackTrace();
}
if (bitmap == null && !mIsDiskLruCacheCreated) {
Log.w(TAG, "encounter error, DiskLruCache is not created.");
bitmap = downloadBitmapFromUrl(uri);
}
return bitmap;
}
private Bitmap loadBitmapFromMemCache(String url) {
final String key = hashKeyFormUrl(url);
Bitmap bitmap = getBitmapFromMemCache(key);
return bitmap;
}
private Bitmap loadBitmapFromHttp(String url, int reqWidth, int reqHeight)
throws IOException {
if (Looper.myLooper() == Looper.getMainLooper()) {
throw new RuntimeException("can not visit network from UI Thread.");
}
if (mDiskLruCache == null) {
return null;
}
String key = hashKeyFormUrl(url);
DiskLruCache.Editor editor = mDiskLruCache.edit(key);
if (editor != null) {
OutputStream outputStream = editor.newOutputStream(DISK_CACHE_INDEX);
if (downloadUrlToStream(url, outputStream)) {
editor.commit();
} else {
editor.abort();
}
mDiskLruCache.flush();
}
return loadBitmapFromDiskCache(url, reqWidth, reqHeight);
}
private Bitmap loadBitmapFromDiskCache(String url, int reqWidth,
int reqHeight) throws IOException {
if (Looper.myLooper() == Looper.getMainLooper()) {
Log.w(TAG, "load bitmap from UI Thread, it's not recommended!");
}
if (mDiskLruCache == null) {
return null;
}
Bitmap bitmap = null;
String key = hashKeyFormUrl(url);
DiskLruCache.Snapshot snapShot = mDiskLruCache.get(key);
if (snapShot != null) {
FileInputStream fileInputStream = (FileInputStream)snapShot.getInputStream(DISK_CACHE_INDEX);
FileDescriptor fileDescriptor = fileInputStream.getFD();
bitmap = decodeSampledBitmapFromFileDescriptor(fileDescriptor,
reqWidth, reqHeight);
if (bitmap != null) {
addBitmapToMemoryCache(key, bitmap);
}
}
return bitmap;
}
public boolean downloadUrlToStream(String urlString,
OutputStream outputStream) {
HttpURLConnection urlConnection = null;
BufferedOutputStream out = null;
BufferedInputStream in = null;
try {
final URL url = new URL(urlString);
urlConnection = (HttpURLConnection) url.openConnection();
in = new BufferedInputStream(urlConnection.getInputStream(),
IO_BUFFER_SIZE);
out = new BufferedOutputStream(outputStream, IO_BUFFER_SIZE);
int b;
while ((b = in.read()) != -1) {
out.write(b);
}
return true;
} catch (IOException e) {
Log.e(TAG, "downloadBitmap failed." + e);
} finally {
if (urlConnection != null) {
urlConnection.disconnect();
}
try {
if (out != null) {
out.close();
}
if (in != null) {
in.close();
}
} catch (IOException e) {
e.printStackTrace();
}
}
return false;
}
private Bitmap downloadBitmapFromUrl(String urlString) {
Bitmap bitmap = null;
HttpURLConnection urlConnection = null;
BufferedInputStream in = null;
try {
final URL url = new URL(urlString);
urlConnection = (HttpURLConnection) url.openConnection();
in = new BufferedInputStream(urlConnection.getInputStream(),
IO_BUFFER_SIZE);
bitmap = BitmapFactory.decodeStream(in);
} catch (final IOException e) {
Log.e(TAG, "Error in downloadBitmap: " + e);
} finally {
if (urlConnection != null) {
urlConnection.disconnect();
}
try {
if (in != null) {
in.close();
}
}catch (Exception e){
e.printStackTrace();
}
}
return bitmap;
}
private String hashKeyFormUrl(String url) {
String cacheKey;
try {
final MessageDigest mDigest = MessageDigest.getInstance("MD5");
mDigest.update(url.getBytes());
cacheKey = bytesToHexString(mDigest.digest());
} catch (NoSuchAlgorithmException e) {
cacheKey = String.valueOf(url.hashCode());
}
return cacheKey;
}
private String bytesToHexString(byte[] bytes) {
StringBuilder sb = new StringBuilder();
for (int i = 0; i < bytes.length; i++) {
String hex = Integer.toHexString(0xFF & bytes[i]);
if (hex.length() == 1) {
sb.append('0');
}
sb.append(hex);
}
return sb.toString();
}
public File getDiskCacheDir(Context context, String uniqueName) {
boolean externalStorageAvailable = Environment
.getExternalStorageState().equals(Environment.MEDIA_MOUNTED);
final String cachePath;
if (externalStorageAvailable) {
cachePath = context.getExternalCacheDir().getPath();
} else {
cachePath = context.getCacheDir().getPath();
}
return new File(cachePath + File.separator + uniqueName);
}
@TargetApi(VERSION_CODES.GINGERBREAD)
private long getUsableSpace(File path) {
if (Build.VERSION.SDK_INT >= VERSION_CODES.GINGERBREAD) {
return path.getUsableSpace();
}
final StatFs stats = new StatFs(path.getPath());
return (long) stats.getBlockSize() * (long) stats.getAvailableBlocks();
}
private static class LoaderResult {
public ImageView imageView;
public String uri;
public Bitmap bitmap;
public LoaderResult(ImageView imageView, String uri, Bitmap bitmap) {
this.imageView = imageView;
this.uri = uri;
this.bitmap = bitmap;
}
}
public Bitmap decodeSampledBitmapFromResource(Resources res,
int resId, int reqWidth, int reqHeight) {
// First decode with inJustDecodeBounds=true to check dimensions
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeResource(res, resId, options);
// Calculate inSampleSize
options.inSampleSize = calculateInSampleSize(options, reqWidth,
reqHeight);
// Decode bitmap with inSampleSize set
options.inJustDecodeBounds = false;
return BitmapFactory.decodeResource(res, resId, options);
}
public Bitmap decodeSampledBitmapFromFileDescriptor(FileDescriptor fd, int reqWidth, int reqHeight) {
// First decode with inJustDecodeBounds=true to check dimensions
final BitmapFactory.Options options = new BitmapFactory.Options();
options.inJustDecodeBounds = true;
BitmapFactory.decodeFileDescriptor(fd, null, options);
// Calculate inSampleSize
options.inSampleSize = calculateInSampleSize(options, reqWidth,
reqHeight);
// Decode bitmap with inSampleSize set
options.inJustDecodeBounds = false;
return BitmapFactory.decodeFileDescriptor(fd, null, options);
}
public static int calculateInSampleSize(BitmapFactory.Options options,
int reqWidth, int reqHeight) {
// 源图片的高度和宽度
final int height = options.outHeight;
final int width = options.outWidth;
int inSampleSize = 1;
if (height > reqHeight || width > reqWidth) {
// 计算出实际宽高和目标宽高的比率
final int heightRatio = Math.round((float) height / (float) reqHeight);
final int widthRatio = Math.round((float) width / (float) reqWidth);
// 选择宽和高中最大的比率作为inSampleSize的值,这样可以保证最终图片的宽和高
// 一定都会大于等于目标的宽和高。
inSampleSize = heightRatio < widthRatio ? widthRatio : heightRatio;
}
return inSampleSize;
}
}
代码摘自android开发艺术探索一书。
好了,Android图片压缩处理和缓存策略就分析到这里,如有问题,欢迎指正,谢谢。
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