高性能加载器-在检查了这里建议的方法之后，我用了Ben的解决方案-

我意识到使用drawable比使用位图更快，所以我使用了drawable使用SoftReference很好，但它会使缓存的图像太频繁地被删除，所以我添加了一个保存图像引用的链接列表，防止图像被删除，直到达到预定义的大小为了打开InputStream，我使用java.net.URLConnection，它允许我使用web缓存（您需要先设置响应缓存，但这是另一回事）

我的代码：

import java.util.Map; 
import java.util.HashMap; 
import java.util.LinkedList; 
import java.util.Collections; 
import java.util.WeakHashMap; 
import java.lang.ref.SoftReference; 
import java.util.concurrent.Executors; 
import java.util.concurrent.ExecutorService; 
import android.graphics.drawable.Drawable;
import android.widget.ImageView;
import android.os.Handler;
import android.os.Message;
import java.io.InputStream;
import java.net.MalformedURLException; 
import java.io.IOException; 
import java.net.URL;
import java.net.URLConnection;

public class DrawableBackgroundDownloader {    

private final Map<String, SoftReference<Drawable>> mCache = new HashMap<String, SoftReference<Drawable>>();   
private final LinkedList <Drawable> mChacheController = new LinkedList <Drawable> ();
private ExecutorService mThreadPool;  
private final Map<ImageView, String> mImageViews = Collections.synchronizedMap(new WeakHashMap<ImageView, String>());  

public static int MAX_CACHE_SIZE = 80; 
public int THREAD_POOL_SIZE = 3;

/**
 * Constructor
 */
public DrawableBackgroundDownloader() {  
    mThreadPool = Executors.newFixedThreadPool(THREAD_POOL_SIZE);  
}  


/**
 * Clears all instance data and stops running threads
 */
public void Reset() {
    ExecutorService oldThreadPool = mThreadPool;
    mThreadPool = Executors.newFixedThreadPool(THREAD_POOL_SIZE);
    oldThreadPool.shutdownNow();

    mChacheController.clear();
    mCache.clear();
    mImageViews.clear();
}  

public void loadDrawable(final String url, final ImageView imageView,Drawable placeholder) {  
    mImageViews.put(imageView, url);  
    Drawable drawable = getDrawableFromCache(url);  

    // check in UI thread, so no concurrency issues  
    if (drawable != null) {  
        //Log.d(null, "Item loaded from mCache: " + url);  
        imageView.setImageDrawable(drawable);  
    } else {  
        imageView.setImageDrawable(placeholder);  
        queueJob(url, imageView, placeholder);  
    }  
} 


private Drawable getDrawableFromCache(String url) {  
    if (mCache.containsKey(url)) {  
        return mCache.get(url).get();  
    }  

    return null;  
}

private synchronized void putDrawableInCache(String url,Drawable drawable) {  
    int chacheControllerSize = mChacheController.size();
    if (chacheControllerSize > MAX_CACHE_SIZE) 
        mChacheController.subList(0, MAX_CACHE_SIZE/2).clear();

    mChacheController.addLast(drawable);
    mCache.put(url, new SoftReference<Drawable>(drawable));

}  

private void queueJob(final String url, final ImageView imageView,final Drawable placeholder) {  
    /* Create handler in UI thread. */  
    final Handler handler = new Handler() {  
        @Override  
        public void handleMessage(Message msg) {  
            String tag = mImageViews.get(imageView);  
            if (tag != null && tag.equals(url)) {
                if (imageView.isShown())
                    if (msg.obj != null) {
                        imageView.setImageDrawable((Drawable) msg.obj);  
                    } else {  
                        imageView.setImageDrawable(placeholder);  
                        //Log.d(null, "fail " + url);  
                    } 
            }  
        }  
    };  

    mThreadPool.submit(new Runnable() {  
        @Override  
        public void run() {  
            final Drawable bmp = downloadDrawable(url);
            // if the view is not visible anymore, the image will be ready for next time in cache
            if (imageView.isShown())
            {
                Message message = Message.obtain();  
                message.obj = bmp;
                //Log.d(null, "Item downloaded: " + url);  

                handler.sendMessage(message);
            }
        }  
    });  
}  



private Drawable downloadDrawable(String url) {  
    try {  
        InputStream is = getInputStream(url);

        Drawable drawable = Drawable.createFromStream(is, url);
        putDrawableInCache(url,drawable);  
        return drawable;  

    } catch (MalformedURLException e) {  
        e.printStackTrace();  
    } catch (IOException e) {  
        e.printStackTrace();  
    }  

    return null;  
}  


private InputStream getInputStream(String urlString) throws MalformedURLException, IOException {
    URL url = new URL(urlString);
    URLConnection connection;
    connection = url.openConnection();
    connection.setUseCaches(true); 
    connection.connect();
    InputStream response = connection.getInputStream();

    return response;
}
}

我已经关注了这个Android培训，我认为它在下载图像而不阻塞主UI方面做得很好。它还处理缓存和滚动许多图像：高效加载大型位图

我遇到了这个问题，并实现了lruCache。我相信你需要API 12或更高版本，或者使用兼容的v4库。lurCache是快速内存，但它也有预算，所以如果你担心，你可以使用磁盘缓存。。。这都在缓存位图中描述。

现在我将提供我的实现，它是我从任何地方调用的单例，如下所示：

//Where the first is a string and the other is a imageview to load.

DownloadImageTask.getInstance().loadBitmap(avatarURL, iv_avatar);

以下是理想的代码，在检索web图像时，缓存并在适配器的getView中调用上述代码：

public class DownloadImageTask {

    private LruCache<String, Bitmap> mMemoryCache;

    /* Create a singleton class to call this from multiple classes */

    private static DownloadImageTask instance = null;

    public static DownloadImageTask getInstance() {
        if (instance == null) {
            instance = new DownloadImageTask();
        }
        return instance;
    }

    //Lock the constructor from public instances
    private DownloadImageTask() {

        // Get max available VM memory, exceeding this amount will throw an
        // OutOfMemory exception. Stored in kilobytes as LruCache takes an
        // int in its constructor.
        final int maxMemory = (int) (Runtime.getRuntime().maxMemory() / 1024);

        // Use 1/8th of the available memory for this memory cache.
        final int cacheSize = maxMemory / 8;

        mMemoryCache = new LruCache<String, Bitmap>(cacheSize) {
            @Override
            protected int sizeOf(String key, Bitmap bitmap) {
                // The cache size will be measured in kilobytes rather than
                // number of items.
                return bitmap.getByteCount() / 1024;
            }
        };
    }

    public void loadBitmap(String avatarURL, ImageView imageView) {
        final String imageKey = String.valueOf(avatarURL);

        final Bitmap bitmap = getBitmapFromMemCache(imageKey);
        if (bitmap != null) {
            imageView.setImageBitmap(bitmap);
        } else {
            imageView.setImageResource(R.drawable.ic_launcher);

            new DownloadImageTaskViaWeb(imageView).execute(avatarURL);
        }
    }

    private void addBitmapToMemoryCache(String key, Bitmap bitmap) {
        if (getBitmapFromMemCache(key) == null) {
            mMemoryCache.put(key, bitmap);
        }
    }

    private Bitmap getBitmapFromMemCache(String key) {
        return mMemoryCache.get(key);
    }

    /* A background process that opens a http stream and decodes a web image. */

    class DownloadImageTaskViaWeb extends AsyncTask<String, Void, Bitmap> {
        ImageView bmImage;

        public DownloadImageTaskViaWeb(ImageView bmImage) {
            this.bmImage = bmImage;
        }

        protected Bitmap doInBackground(String... urls) {

            String urldisplay = urls[0];
            Bitmap mIcon = null;
            try {
                InputStream in = new java.net.URL(urldisplay).openStream();
                mIcon = BitmapFactory.decodeStream(in);

            } 
            catch (Exception e) {
                Log.e("Error", e.getMessage());
                e.printStackTrace();
            }

            addBitmapToMemoryCache(String.valueOf(urldisplay), mIcon);

            return mIcon;
        }

        /* After decoding we update the view on the main UI. */
        protected void onPostExecute(Bitmap result) {
            bmImage.setImageBitmap(result);
        }
    }
}

URLImageViewHelper是一个非常棒的库，可以帮助您做到这一点。

对于那些对使用什么库来延迟加载图像犹豫不决的人来说，这只是一个快速提示：

有四种基本方法。

DIY=>不是最好的解决方案，但对于一些图像，如果你想不使用其他库的麻烦Volley的懒加载库=>来自android的家伙。它很好，一切都很好，但文档记录很差，因此使用起来有问题。毕加索：一个简单可行的解决方案，你甚至可以指定你想要引入的图像大小。它非常简单，但对于需要处理大量图像的应用程序来说，可能不是很“高效”。UIL：延迟加载图像的最佳方式。您可以缓存图像（当然需要权限），初始化加载程序一次，然后完成工作。迄今为止，我见过最成熟的异步图像加载库。

更新：如果您正在寻找2020年由Kotlin Coroutines支持的解决方案，请尝试Coil。

Coil是Coroutine Image Loader的缩写。

特征

快速：Coil执行许多优化，包括内存和磁盘缓存、在内存中对图像进行下采样、重新使用位图、自动暂停/取消请求等。轻量级：Coil为您的APK添加了约2000个方法（适用于已经使用OkHttp和Coroutines的应用程序），这与毕加索不相上下，明显少于Glide和Fresco。易于使用：Coil的API利用了Kotlin的语言特性，以实现简单和最小的样板。现代：Coil首先是Kotlin，它使用了包括Coroutines、OkHttp、Okio和AndroidX Lifecycles在内的现代库。

渐变设置：

线圈在mavenCentral（）上可用。

implementation("io.coil-kt:coil:1.0.0")

快速入门

要将图像加载到ImageView中，请使用加载扩展函数：

// URL
imageView.load("https://www.example.com/image.jpg")

// Resource
imageView.load(R.drawable.image)

// File
imageView.load(File("/path/to/image.jpg"))

或在后台线程上

// Coil (suspends the current coroutine; non-blocking and thread safe)
val request = ImageRequest.Builder(context)
    .data(url)
    .size(width, height)
    .build()
val drawable = context.imageLoader.execute(request).drawable

您也可以从Picasso/Glide迁移

此处提供完整文档