Question

我使用以下函数创建了我的Gravatar图像（https://www.gravatar.com/avatar/cd5415f97afbe0177ba35ae31fbfd0db）的base64编码字符串：

final BASE64Encoder encoder = new BASE64Encoder(); 

String encoded = encoder.encode(inputStreamToByteArray(is));
encoded = encoded.replaceAll("\r?\n", "");

return encoded;

我几天前运行了这个方法并获得了以下base64编码的字符串：

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

就在今天，我再次使用相同的图像执行了该方法。但我没有检索相同的编码字符串，而是收到了：

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

正如您可能注意到的，前几个字符是相同的，但如果您查看字符串的结尾，您会直接注意到它们完全不同。这是为什么？该图片仍然是我的Gravatar图片（例如，使用http://codebeautify.org/base64-to-image-converter显示两个字符串的相同图片。）

感谢任何提示，解释！我的实施有什么问题吗？某些实施时间或位置是否依赖？如何为同一图像获取相同的base64字符串？

PS：inputStreamToByteArray实现如下：

public static byte[] inputStreamToByteArray(final InputStream is) {
    final ByteArrayOutputStream buffer = new ByteArrayOutputStream();
    final byte[] data = new byte[16384];

    try {
        int nRead;
        while ((nRead = is.read(data, 0, data.length)) != -1) {
            buffer.write(data, 0, nRead);
        }
        buffer.flush();
    } catch (final IOException e) {
        return null;
    } finally {
        try {
            buffer.close();
        } catch (final IOException e) {
            // ignore
        }
    }

    return buffer.toByteArray();
}

Answer 1

将两张图片转换回.jpg，然后使用http://regex.info/exif.cgi，会显示以下标题注释：

一：

CREATOR：gd-jpeg v1.0（使用IJG JPEG v80），质量= 90

其他：

CREATOR：gd-jpeg v1.0（使用IJG JPEG v62），质量= 90

（无法记住我转换图片的顺序，但无论哪种方式都有版本更改）

正如您所看到的，他们已将JPEG压缩器（或规范？）升级到更新版本，从而产生不同的JPEG编码，或至少在评论中有所不同。

所以回答你的问题，你的base64转换器似乎没有问题，但只是两个图像实际上是不同的

相同的图像，但不同的base64

1 个答案: