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demo地址:https://github.com/vpractical/CatCompress
相关
Android中最容易导致OOM的情况,一个是内存泄露,一个就是Bitmap
-
Bitmap.Config
- ALPHA_8: 每个像素占用1字节(8位),存储的是透明度信息
从API 13开始不推荐使用,在android4.4上面,设置的ARGB_4444会被系统使用ARGB_8888替换 - ARGB_8888: 默认的选项,每像素占用4字节,ARGB分别占8位,支持1600万种颜色,质量最高,当然内存占用也高
- RGB_565: 每像素占用2字节,RGB分别占5,6,5位。支持65535种颜色,不支持alpha
- ALPHA_8: 每个像素占用1字节(8位),存储的是透明度信息
bitmap占用内存 = 图像像素总和(w * h)再 * 每像素(bitmapconfig)占用的字节数.
以一张10241024的图片为例,使用ARGB_8888,占用的内存为10241024*4=4M
分析
- 实际场景中,多为取相册图片和获取拍摄图片进行压缩
- 压缩分为宽高压缩compressByPixel和质量压缩compressByQuality
- 根据需要压缩图片的数量,选择单线程or多线程方案
- 配置压缩属性
- 传入待压缩图片地址集,返回源图和压缩后图片的地址映射集合,压缩后的图片保存在本地
实现
使用:
val config = CompressConfig
.get(this)
.maxPixel(1000)
.maxSize(200)
.form(Bitmap.Config.ARGB_8888)
.cacheDir(COMPRESS_PATH)
.enablePixelCompress(true)
.enableQualityCompress(true)
.enableDeleteOriginalImage(isDelete)
.enableShowLoading(true)
val time = System.currentTimeMillis()
val callback = object : CompressCallback {
override fun compressSuccess(list: java.util.ArrayList<Image>) {
val cur = (System.currentTimeMillis() - time).toInt()
Log.e("----", "压缩完成${list.size};耗时 = $cur")
for (it in list) {
if (!TextUtils.isEmpty(it.compressPath)) {
} else {
Log.e("----", "压缩失败,compressPath有null值${it.isCompress}")
}
}
}
override fun compressFailed(list: java.util.ArrayList<Image>, msg: String) {
Log.e("----", "压缩失败${list.size}---$msg")
}
}
if (isMulit) {
//多线程方案
CompressCat2
.get(this)
.config(config)
.callback(callback)
.compress(list)
} else {
//单线程方案
CompressCat
.get(this)
.config(config)
.callback(callback)
.compress(list)
}
核心代码:
/**
* 像素压缩
*/
private fun compressByPixel(path: String, listener: CompressSingleListener) {
try {
val options = BitmapFactory.Options()
options.inJustDecodeBounds = true
BitmapFactory.decodeFile(path, options)
options.inJustDecodeBounds = false
val w = options.outWidth
val h = options.outHeight
val max = config.maxPixel
var ratio = 1 //图片大小与期望大小的比例
if (h in max..w) {
ratio = (max + h) / max
} else if (w in max..h) {
ratio = (max + w) / max
}
if (ratio < 1) {
ratio = 1
}
options.inSampleSize = ratio
options.inPreferredConfig = config.form
options.inPurgeable = true
options.inInputShareable = true // 当系统内存不够时候图片自动被回收,和inPurgeable同时设置有效
val bitmap = BitmapFactory.decodeFile(path, options)
Log.e("----core:pixel----", "w=$w;h=$h;ration=$ratio;-----w=${bitmap.width};h=${bitmap.height};size=${bitmap.byteCount / 1024}")
if (config.enableQualityCompress) {
compressByQuality(path, bitmap, listener)
} else {
val file = getCacheFile(File(path))
bitmap.compress(Bitmap.CompressFormat.JPEG, 100, FileOutputStream(file))
listener.compressSuccess(path)
}
} catch (e: Exception) {
e.printStackTrace()
listener.compressFailed(path, "压缩像素异常: ${e.printStackTrace()}")
}
}
/**
* 质量压缩
*/
private fun compressByQuality(path: String, bitmap: Bitmap, listener: CompressSingleListener) {
val baos = ByteArrayOutputStream()
val file = getCacheFile(File(path))
val fos = FileOutputStream(file)
try {
var option = 100
bitmap.compress(Bitmap.CompressFormat.JPEG, option, baos)
while (baos.toByteArray().size > config.maxSize) {
baos.reset()
option -= 4
bitmap.compress(Bitmap.CompressFormat.JPEG, option, baos)
if (option - 4 <= 0) {
//已经质量压缩到这个比例下最小
break
}
}
Log.e("----core:quality----", "option=$option;-----size=${baos.toByteArray().size / 1024}")
fos.write(baos.toByteArray())
listener.compressSuccess(file.absolutePath)
} catch (e: Exception) {
e.printStackTrace()
listener.compressFailed(path, "压缩质量异常: ${e.printStackTrace()}")
} finally {
fos.flush()
fos.close()
baos.flush()
baos.close()
bitmap.recycle()
}
}
private fun getCacheFile(file: File): File {
return File(config.cacheDir, "/compress_" + file.name)
}