名词 | 解释 |
---|---|
px | 屏幕上的点就是由像素点组成的,可以说是绝对的单位 |
Density | 屏幕密度 |
DensityDpi | 每英寸的像素数:160dpi代表着每英寸有160px的像素 |
Dip | 设备独立像素,简称dp,android中控件的大小推荐设置这种单位 |
。。。。 | DensityDpi | Density |
---|---|---|
mdpi | 160 | 1 |
hdpi | 240 | 1.5 |
xhdpi | 320 | 2 |
xxhdpi | 480 | 3 |
????? | 560 | 3.5 |
xxxhdpi | 640 | 4 |
不同的手机又着不同的dpi,那么这是怎么计算的呢?
以nexus 6p来计算:5.7’ 1440*2560
由于英寸是屏幕的对角线尺寸,所以这里我们通过屏幕的像素的宽高比,计算出屏幕对角线的像素:2937px
那么,我们接下来就可以计算屏幕每英寸的像素点:2937/5.7=515dpi
归属于560dpi类比的手机
以小米2s来计算:4.7’ 720*1280
由于英寸是屏幕的对角线尺寸,所以这里我们通过屏幕的像素的宽高比,计算出屏幕对角线的像素:1469px
那么,我们接下来就可以计算屏幕每英寸的像素点:1469/4.7=312dpi
通过代码
归属于320dpi(也就是xhdpi)类比的手机
以魅族没休 pro来计算:5.7’ 1080*1920
由于英寸是屏幕的对角线尺寸,所以这里我们通过屏幕的像素的宽高比,计算出屏幕对角线的像素:2203px
那么,我们接下来就可以计算屏幕每英寸的像素点:2203/4.7=469dpi
归属于480dpi(也就是xxhdpi)类比的手机
Bitmap在内存中所占的大小,由宽高像素,和每个像素的颜色通道有关,一般来说,有以下几种颜色通道:
颜色通道 | 字节 |
---|---|
Alpha_8 | 1 |
RGB_565 | 2 |
ARGB_4444 | 2 |
ARGB_8888 | 4 |
1.这里是android的decodeResourceStream方法:
public static Bitmap decodeResourceStream(Resources res, TypedValue value,
InputStream is, Rect pad, Options opts) {
if (opts == null) {
opts = new Options();
}
if (opts.inDensity == 0 && value != null) {
final int density = value.density;
if (density == TypedValue.DENSITY_DEFAULT) {
opts.inDensity = DisplayMetrics.DENSITY_DEFAULT;
} else if (density != TypedValue.DENSITY_NONE) {
opts.inDensity = density;
}
}
if (opts.inTargetDensity == 0 && res != null) {
opts.inTargetDensity = res.getDisplayMetrics().densityDpi;
}
return decodeStream(is, pad, opts);
}
opts.inDensity:取决于图片drawable所在的目录对应的density,这个可以从上面的表格中得出答案。
opts.inTargetDensity:就是设备的目标密度值(可以使用res.getDisplayMetrics().densityDpi)方法获得。
2. 在这个方法里面初始化了Options对象:
public Options() {
inDither = false;
inScaled = true;
inPremultiplied = true;
}
这里默认设置了inScaled的值为true,就是说明可以根据inDensity和inTargetDensity进行缩放。
3.然后对应的是/ core / jni / android / graphics / BitmapFactory.cpp中的方法
static jobject doDecode(JNIEnv* env, SkStream* stream, jobject padding,
jobject options, bool allowPurgeable, bool forcePurgeable = false,
bool applyScale = false, float scale = 1.0f) {
int sampleSize = 1;
SkImageDecoder::Mode mode = SkImageDecoder::kDecodePixels_Mode;
SkBitmap::Config prefConfig = SkBitmap::kARGB_8888_Config;
bool doDither = true;
bool isMutable = false;
//这里需要满足两个条件才可以进行缩放
bool willScale = applyScale && scale != 1.0f;
bool isPurgeable = !willScale &&
(forcePurgeable || (allowPurgeable && optionsPurgeable(env, options)));
bool preferQualityOverSpeed = false;
jobject javaBitmap = NULL;
if (options != NULL) {
sampleSize = env->GetIntField(options, gOptions_sampleSizeFieldID);
if (optionsJustBounds(env, options)) {
mode = SkImageDecoder::kDecodeBounds_Mode;
}
// initialize these, in case we fail later on
env->SetIntField(options, gOptions_widthFieldID, -1);
env->SetIntField(options, gOptions_heightFieldID, -1);
env->SetObjectField(options, gOptions_mimeFieldID, 0);
jobject jconfig = env->GetObjectField(options, gOptions_configFieldID);
prefConfig = GraphicsJNI::getNativeBitmapConfig(env, jconfig);
isMutable = env->GetBooleanField(options, gOptions_mutableFieldID);
doDither = env->GetBooleanField(options, gOptions_ditherFieldID);
preferQualityOverSpeed = env->GetBooleanField(options,
gOptions_preferQualityOverSpeedFieldID);
javaBitmap = env->GetObjectField(options, gOptions_bitmapFieldID);
}
if (willScale && javaBitmap != NULL) {
return nullObjectReturn("Cannot pre-scale a reused bitmap");
}
SkImageDecoder* decoder = SkImageDecoder::Factory(stream);
if (decoder == NULL) {
return nullObjectReturn("SkImageDecoder::Factory returned null");
}
decoder->setSampleSize(sampleSize);
decoder->setDitherImage(doDither);
decoder->setPreferQualityOverSpeed(preferQualityOverSpeed);
NinePatchPeeker peeker(decoder);
JavaPixelAllocator javaAllocator(env);
SkBitmap* bitmap;
if (javaBitmap == NULL) {
bitmap = new SkBitmap;
} else {
if (sampleSize != 1) {
return nullObjectReturn("SkImageDecoder: Cannot reuse bitmap with sampleSize != 1");
}
bitmap = (SkBitmap*) env->GetIntField(javaBitmap, gBitmap_nativeBitmapFieldID);
// config of supplied bitmap overrules config set in options
prefConfig = bitmap->getConfig();
}
SkAutoTDelete<SkImageDecoder> add(decoder);
SkAutoTDelete<SkBitmap> adb(bitmap, javaBitmap == NULL);
decoder->setPeeker(&peeker);
if (!isPurgeable) {
decoder->setAllocator(&javaAllocator);
}
AutoDecoderCancel adc(options, decoder);
// To fix the race condition in case "requestCancelDecode"
// happens earlier than AutoDecoderCancel object is added
// to the gAutoDecoderCancelMutex linked list.
if (options != NULL && env->GetBooleanField(options, gOptions_mCancelID)) {
return nullObjectReturn("gOptions_mCancelID");
}
SkImageDecoder::Mode decodeMode = mode;
if (isPurgeable) {
decodeMode = SkImageDecoder::kDecodeBounds_Mode;
}
//这是解析出来的bitmap,这里有可能设置了simpleSize后的bitmap
SkBitmap* decoded;
if (willScale) {
decoded = new SkBitmap;
} else {
decoded = bitmap;
}
SkAutoTDelete<SkBitmap> adb2(willScale ? decoded : NULL);
if (!decoder->decode(stream, decoded, prefConfig, decodeMode, javaBitmap != NULL)) {
return nullObjectReturn("decoder->decode returned false");
}
//这里获取的是没有进行scale缩放后bitmap
int scaledWidth = decoded->width();
int scaledHeight = decoded->height();
//如果是需要进行缩放的,就根据两个密度值计算并进行缩放
if (willScale && mode != SkImageDecoder::kDecodeBounds_Mode) {
//这是计算后需要缩放的宽高
scaledWidth = int(scaledWidth * scale + 0.5f);
scaledHeight = int(scaledHeight * scale + 0.5f);
}
// update options (if any)
if (options != NULL) {
env->SetIntField(options, gOptions_widthFieldID, scaledWidth);
env->SetIntField(options, gOptions_heightFieldID, scaledHeight);
env->SetObjectField(options, gOptions_mimeFieldID,
getMimeTypeString(env, decoder->getFormat()));
}
// if we're in justBounds mode, return now (skip the java bitmap)
if (mode == SkImageDecoder::kDecodeBounds_Mode) {
return NULL;
}
jbyteArray ninePatchChunk = NULL;
if (peeker.fPatchIsValid) {
if (willScale) {
scaleNinePatchChunk(peeker.fPatch, scale);
}
size_t ninePatchArraySize = peeker.fPatch->serializedSize();
ninePatchChunk = env->NewByteArray(ninePatchArraySize);
if (ninePatchChunk == NULL) {
return nullObjectReturn("ninePatchChunk == null");
}
jbyte* array = (jbyte*) env->GetPrimitiveArrayCritical(ninePatchChunk, NULL);
if (array == NULL) {
return nullObjectReturn("primitive array == null");
}
peeker.fPatch->serialize(array);
env->ReleasePrimitiveArrayCritical(ninePatchChunk, array, 0);
}
// detach bitmap from its autodeleter, since we want to own it now
adb.detach();
if (willScale) {
// This is weird so let me explain: we could use the scale parameter
// directly, but for historical reasons this is how the corresponding
// Dalvik code has always behaved. We simply recreate the behavior here.
// The result is slightly different from simply using scale because of
// the 0.5f rounding bias applied when computing the target image size
const float sx = scaledWidth / float(decoded->width());
const float sy = scaledHeight / float(decoded->height());
bitmap->setConfig(decoded->getConfig(), scaledWidth, scaledHeight);
bitmap->allocPixels(&javaAllocator, NULL);
bitmap->eraseColor(0);
SkPaint paint;
paint.setFilterBitmap(true);
SkCanvas canvas(*bitmap);
//设置画布缩放
canvas.scale(sx, sy);
canvas.drawBitmap(*decoded, 0.0f, 0.0f, &paint);
}
if (padding) {
if (peeker.fPatchIsValid) {
GraphicsJNI::set_jrect(env, padding,
peeker.fPatch->paddingLeft, peeker.fPatch->paddingTop,
peeker.fPatch->paddingRight, peeker.fPatch->paddingBottom);
} else {
GraphicsJNI::set_jrect(env, padding, -1, -1, -1, -1);
}
}
SkPixelRef* pr;
if (isPurgeable) {
pr = installPixelRef(bitmap, stream, sampleSize, doDither);
} else {
// if we get here, we're in kDecodePixels_Mode and will therefore
// already have a pixelref installed.
pr = bitmap->pixelRef();
}
if (!isMutable) {
// promise we will never change our pixels (great for sharing and pictures)
pr->setImmutable();
}
if (javaBitmap != NULL) {
// If a java bitmap was passed in for reuse, pass it back
return javaBitmap;
}
// now create the java bitmap
return GraphicsJNI::createBitmap(env, bitmap, javaAllocator.getStorageObj(),
isMutable, ninePatchChunk);
}
比如一张400*800像素的png图片,使用的颜色通道是ARGB_8888,将他放到xhdpi的文件夹中:
xhdpi的手机中(假设denstity为2),内存:400*800*4=1 280 000B.
xxhdpi的手机中(假设denstity为3),内存:400*800*4*3/2=1 920 000B
denstity为4的手机,内存:400*800*4*2=2 560 000B.
由于设置option的参数inDenstity和inTargetDensity可以在c++层进行缩放,这样就不需要先通过采样将bitmap加码到java里,再通过缩放来控制bitmap(如果需要先采样,只能通过2的倍数采样,限制比较大,如果不采用直接解码则可能会oom)
可以通过如下代码来设置缩放,直接拿到比例相同的bitmap,同时可以直接控制总像素
public static void createImageThumbnail(Context context, String largeImagePath, String thumbfilePath, int quality) throws Exception {
if (largeImagePath != null) {
BitmapFactory.Options opts = new BitmapFactory.Options();
opts.inJustDecodeBounds = true;
BitmapFactory.decodeFile(largeImagePath, opts);
opts.inJustDecodeBounds = false;
LogUtil.LLJe("原图片的宽高比:" + opts.outWidth + "x" + opts.outHeight);
Bitmap bitmap;
if (opts.outWidth * opts.outHeight < 4500000) {
bitmap = BitmapFactory.decodeFile(largeImagePath, opts);
} else {
//原始的高度
opts.inDensity = opts.outHeight;
//目标的高度
double temp = opts.outHeight * 4500000.0 / opts.outWidth;
opts.inTargetDensity = (int) Math.sqrt(temp);
bitmap = BitmapFactory.decodeFile(largeImagePath, opts);
}
saveImageToSD(context, thumbfilePath, bitmap, quality);
LogUtil.LLJe("已经完成一张图片的压缩,bitmap:" + bitmap.getWidth() + "x" + bitmap.getHeight());
LogUtil.LLJe("已经完成一张图片的压缩,bitmap的总像素:" + bitmap.getWidth() * bitmap.getHeight() / 10000.0 + "万");
LogUtil.LLJe("已经完成一张图片的压缩,文件大小:" + Formatter.formatFileSize(BaoBaoApplication.getInstance(), new File(thumbfilePath).length()));
if (bitmap != null && !bitmap.isRecycled())
bitmap.recycle();
System.gc();
}
}