android - 位图图片编码后Base64字符串错误

Question

所以在我的应用程序中我可以拍照。我稍后要做的是使用 API 作为 Base64 字符串将这张照片发送到服务器。这是我将位图(照片)编码为字符串的代码:

public static String convertPhotoToBase(Bitmap bmp) {

        ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();
        bmp.compress(Bitmap.CompressFormat.PNG, 100, byteArrayOutputStream);
        byte[] byteArray = byteArrayOutputStream.toByteArray();
        Log.e(TAG,  Base64.encodeToString(byteArray, Base64.DEFAULT));
        return Base64.encodeToString(byteArray, Base64.DEFAULT);

    }

看起来不错，对吧？好吧，不是，我也不知道为什么我收到的字符串编码不正确。我补充说，位图没问题，因为我可以毫无问题地在 ImageView 中显示它。

我得到的字符串看起来像这样:

iVBORw0KGgoAAAANSUhEUgAAA8AAAAZACAIAAAA5PLyzAAAAA3NCSVQICAjb4U/gAAAgAElEQVR4                                                                                 nKS9WbbsOK4kagZ5DON9VM1/hncL9j7QEKTkHnFXKXOd8K2GBNETBEH+3//z/0mSBIgkAJpIfmhx                                                         kXQ6ABEkP/YPyPjT3SXe963b3f8AAEah28l2JYckwQUAEgDAyerDPtERZMpXZAJJGgyU7rjpDing                                              dNoN6MOrHrm7S4o/CUGEkbzOUQgASAYAzOHIQAl0wam8KGab8bKMOTrPjurpFfdv0d3piUwDAZiZ                                                               iGpTd6Oa/PCSvJvqITgpCaSMJEhelIEY8CDw6C7pdpMUQzPBkHBe5gAsxytZ9nvTScoR4FGQKCmo                                                     TF6QJbi4AVwSjLyAK6h2Xbgk6f5z9/u+izRXQEVSuqmFIuGW5EqwA/MkA2Y3q+HfNUCRvK5/mnYu                                                               Rl8ApCs+9gSYxEXyn4vVOxurt4Q7OeRPdyMZgNnVbGBmwcIBHoA73lxUXhc8byb+5YFgkkB2DVjw                                                           SQwnW7DgwIATja6ApAFz9x1RnowqgfkIAHiFdMxBNfxBkUSFw7nIAUBySqSasS8kQDfkUgwo+CpY                                                    SNVzoB3AxezLEBLBACbgUWmD6zLSsl8sWVBxQcjmuNT8jNIZJHF7DqEaiAZbHGgQSS65lgSwhm2B                                                            HKNCRtyB2wFXgJ56oWldVMOnaFrASe7+t4SXJE0AvJuZ4zn+7NbsCnCvfiFac/dbvPUXcCVDRnek                                                cAexqNTYAkI67lvufkPExeJb6SYpo5ldYEtfUIpwA80IY1BhYF7N82ZG0eFDU7EUvkkKmU0FEgMp                                             ziRDEyddcBkAlabNd6TQGChKNRikaPrQUoBC9LCUcH7lLdfWOpbkFBlJPiQl+cQulFZv6RZu3k0U                                    Ns8DUMqjk3SaJDrlvHFHd4HnhEHm/pc6xKLrYiTQiRjLJpv3zTAqpJldDHpJtB6vF3XMLAYYCmS9                             4D5GasXXYXFLJ6ScJtluCIAJ7n/5CO5I/AX/NPMAoPy+b5VddpYpvMDCbRtcAGEH2y5Ykdvdm16t                        jUmCaiBjGAFhaGkBTps8IBSDDREDYIbgydaioWAvWmtU+TIZf75ssaXBu8wsrMzUA+6uxpVuEYZg                      9c91Xdd1NRJaEABY+A9OAByOxIeLb1FWA8DfUng3eSX7kYYLmHojuFt/f/dkp2QSo7bGqWJppl71                   Qlq6ZzJ9zHrIN25JYewbvSruAgrJZcRQvocDzaIxqMBqC3Jf8VC6LX8o2knpS75lO2kXCTjC/AYm                        PHw52TS71LQRFo4Kgwop4ICFQ1Q8ORX+HXwkwK40YQA+jd/xQ4f2V5kvfL8mV812UjTzbru/Nahh                       M1CMMNtZREpueDFCO/DVVPgxo4v8wUcT/TQtQZscvb24gfoNFdnVavMc1AHtt156yJK6yzkipZdT                 Qy5sE5xvdpvh0EiivbwQjn613H0FyzoUvk9r+qG1dsBehyMc7PF4YW/neKW77Heax5BsgPrBV1bJ                  r8ANY/u/E4AHP69+yWSj7q65uTEWrzc7baAOlXeIwPz95O0fbHnAvP84u9jRiMIK8d72GniI8LPf              +Wfj9hhRdDK7Hkz+whLBz/NlSfx3JKw2AUypeXa0ydcE9U3P/L5z8E8rt9npE4AXNTtYvaYf/6J4                 J2KnBpvUZL+3/jNYS+/4nxx4wGxm7t5iOkkZN6KLbuG3cnj2++PNtl6v3DjR+K3T1y6auwa0B02/               jeDX6B6QbBpbO40wmKQh2VTEY8i/rwwKIC0DsbXW4aoe6SGh+d8mM7cLQHCO8BXVPy6WwWr9OZ++             km/awZfWgEmyXdy+cpSkerqmH9g1RtPCemY+X5u9Ezbm33MgU+JSZsHguvX0pwZeUlajPBTXYZEP                   +0Kc8njon8NAdGuLMysE0zAf3FgshcZ5M9MXzG/NVgsvWNik4MEE72rqiwUfNiLpvsO/XC+eBmtX            sMBnsFdxSc7/PuG8SwJNyonfYkoXBQgGenoOlGhNmPgBSIqgW053sgV7jrxRw5g4h2C+O81lkg2A            SBjprnbyqncCTn5kKaIOcbdVG1t7dNiOqcNbPAgYHQ6QdHoFFy1mSHM4y4HmYobF3Dy7ljb2Xdgo             +l1fzNiCPLssSlfwOy4P6Pch16D2RtrhMMGpmvAH1p4OdH29IaEavFBLB/H+q5JVYUM18e0nWCbz            xIzVBEARLym74t4xsLOjoanNDK2159usKb/mNKmoYCCFxNqwdmYW0Fo2tSY2TAPmm5RyhdZeELIr            wQZsjGJFTX5p3McViOp2LJvduHfpi/4K5CW2RxQeJwHgGq0d2uohYstMalhNnwLYnLZdnGOcn6MZ           oIkd4Yvo9uEZW+g+Fd8TgCmiQDCjAPiALUePXIWYMA2tiqFnjake3l3kiZAphk8zFs0bcMMeJPZU          uTq95O5xGYlF5YxmEmvZDQAZC4NXKM1EoREIBZ7mM9xVFy6LfgNlF1z6yYFNceCMXbQSASIMG4sA           BIx0gJTHOuaBdscNBZHTvhALSdGdcBPXQHi1sGPzoM5SyIE/WUTuAfPxYmsz8gIc8BB90SGAfhB0          aNUVZ0VJTUilgc35SzU1SIn2y8dEZYoYOnISvCoh+mUbKbF4piky9Iyj0AWg4m2BinSgmQHmTWem          fqt2WBFNnXJ0XkkmY6/WTqXx+vKkUb13ehEU9T7H6InEA3Xs8Pad6x6kke4e04855LVk3csm8GlZ          YLxoGe7vqxYCeqRpvy5AF8cqDW6v1yIY3J9IksnvJFb6+pbq8ZSs4nRtJHDHxTRgSSkp+Wc6jptz          Ep1V0waBcOIK1H2jmrrBGDgQkyVrDzDcPLuAe1lDV1PqpJ8gK8ewm53cZWzXLixsq8FigIyvE/wL          q7ccfQOhXFVuoTjVeGlCGBOSz9S2xSMhiwnbMueCJIcfk/FmrURRBzPI6Ck+H2q06XJinNUdx81y          hs+XzQaUMSpby1sJWwdiR9RlNrYUGbGixWdv52w4sPyuGI5mawqx3M7RYKL1Ie/9nsZkSxJOGFZf          /Ztt7vYgtPa5e+voQtTmITQFO0TBbmSEgadjUU29uAs58Jzz2AlVjvdpydY7StnephlMNs35yHwT         g2cmR7UJGVrROC7stJu4eqqJicM0c3l/afwXtDDR+DQtE7Hz85DQVtz7y8slODhh9QceX82Rrw/e          vDHE9IBuYQ/+LQD2TZl+w+ELzKV2kIZzf/rWwhjFurlr2GWhy7CpVfwrPANUHf0ups2VHLIdaNdz          RN9E9biDISzxxW4A1lTk0cKu9Iq44WVW+hY5EiwebSIZrOTkmAYcY3+iYlNT3dpjmE0Ub6uS/zkn         yQei2hQcuncA8BXUyXj93sGNL+N6m8E+dXg9yh/ta7Kw2WLFerC3OahmIwLq/qKbBiSRgfCqlDaA          d+VwkH7jtoJyDjO1wpfJHtIXtOECjsYbyUMfPmcvs71XlutHWnO5Jdfn5zKHSM6ckAn5qT8HUBxs         L+UaS6N/5q5weDXTvwbAyy6aFjssbX+QPhcHlBokCfrAz/Zn3fJG5o4wrijpxPAPV2XTZq/spOF4         nMxf/DG83qWlW4sVL23j+g3Vtyu/zen9i9hK747ZZM7nh7ufrwPg1DkPrJL8XCCoXVTj1Z6xZXJz          ZJzduoObJtOY1eTV12pOzE01aMNyqYHKqQrewtLbN1ZeFHTiukbt4eWbpUnIZ3PyrTvz8EhR6Wkx          MVQThjW/nOoy1mSWJurZV0yhciJjXrGuwT0ZipjCncah/o9dSDzn+hxKO9VKdEcFu8BwvbgPy9XI         WRRBRQYaO0s3P7ohDl22IRZlA10DfkEU4JFAqXsZb5d4U3RCMNGxhwY7373lk7AtedeowazItYIX         n7LV0Bx8RHQv2AUJMmWgzuWd/oslJwT9loNkBmOuRfr9h3YJ70Hxi40vmQGASjlFO0AigysCaYHq          UHOSaACXt9dDDgZlJXClyxBszo4tmGKJp

它看起来像是正确的 Base64 字符串，但如果您检查它 - 它不是。你知道为什么吗？是位图问题还是什么？有什么帮助吗？

Answer 1

使用此方法编码您想要的位图

  public static String enBitmap64(Bitmap bitmap) {
        ByteArrayOutputStream stream = new ByteArrayOutputStream();
        bitmap.compress(Bitmap.CompressFormat.JPEG, 100, stream);
        bitmap.recycle();
        byte[] array = stream.toByteArray();
        return Base64.encodeToString(array, 0);
    }

和这个解码字符串

的方法

public static Bitmap deBitmap64(String string) {
    byte[] decodedString = Base64.decode(string, Base64.DEFAULT);
    Bitmap decodedByte = BitmapFactory.decodeByteArray(decodedString, 0, decodedString.length);
    return decodedByte;
}

但是，在使用 encode64 之前，您需要了解一些事情

• 编码和解码位图需要在 background 中完成(不在主线程中)如果 bitmap 很大，它会挂起 UI，使用 Asynctask、Service 或 Runnable (Asynctask 是最佳选择)。

• 不建议对大图进行编码后以字符串形式上传到服务器，编码和解码只分两种情况。

首先，如果你所有的图片都很小。

其次，如果您有大图像并且您在应用程序的某个地方将其显示为缩略图。在 Facebook 的好友搜索中，您会看到小图片(缩略图)，您单击它会变大(原始图片)。所以有小图和大图，当你在 friend 搜索页面时你只需要从服务器请求(下载)小图(低分辨率)而不需要请求(下载)这么大的图像(高分辨率)，但是两者图像存储在服务器中。小的可以保存为编码但大的不能，大图像将通过 HttpClient、Volley 或 HttpURLConnection 上传到服务器。 .还有更多