android camera之nv21旋转

这周做的一个android的camera开发，需要获取到视频帧数据，并且需要是nv21格式的byte数组，并且视频帧的图像需要是正方向的。和android相机打过交道的都清楚，android的camera获取到的图片都是横向的，因此，需要进行旋转，对于图像的旋转，其实bitmap这个类已经可以帮我们实现了，但是前提是你需要将你的数据格式转换为Bitmap才行，但是我们如果通过setPreviewCallback来获取视频帧，获取到的图片都是nv21，如果装换为bitmap后，又很难的转换为nv21格式的数据。因此则需要面临一个问题，如歌旋转nv21格式的byte数组，首先先来讲下nv21格式，讲到nv21就也要说说yuv240和nv12：

NV12、NV21（属于YUV420）

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" 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NV12和NV21属于YUV420格式，是一种two-plane模式，即Y和UV分为两个Plane，但是UV（CbCr）为交错存储，而不是分为三个plane。其提取方式与上一种类似，即Y'00、Y'01、Y'10、Y'11共用Cr00、Cb00

YUV420 planar数据存储，以720×488大小图象YUV420 planar为例，

其存储格式是：共大小为(720×480×3>>1)字节，

分为三个部分: Y分量：　　　(720×480)个字节 U(Cb)分量：　　(720×480>>2)个字节　　　　 V(Cr)分量：　　 (720×480>>2)个字节

三个部分内部均是行优先存储，三个部分之间是Y,U,V 顺序存储。

即YUV数据的0－－720×480字节是Y分量值， 720×480－－720×480×5/4字节是U分量 720×480×5/4 －－720×480×3/2字节是V分量。

4 ：2： 2 和4：2：0 转换：

最简单的方式：

YUV4:2:2 ---> YUV4:2:0 Y不变，将U和V信号值在行(垂直方向)在进行一次隔行抽样。 YUV4:2:0 ---> YUV4:2:2 Y不变，将U和V信号值的每一行分别拷贝一份形成连续两行数据。

在YUV420中，一个像素点对应一个Y，一个4X4的小方块对应一个U和V。对于所有 YUV420图像，它们的Y值排列是完全相同的，因为只有Y的图像就是灰度图像。YUV420sp与YUV420p的数据格式它们的UV排列在原理上是完全不同的。420p它是先把U存放完后，再存放V，也就是说UV它们是连续的。而420sp它是UV、UV这样交替存放的。(见下图) 有了上面的理论，我就可以准确的计算出一个YUV420在内存中存放的大小。 width * hight =Y（总和） U = Y / 4 V = Y / 4

所以YUV420 数据在内存中的长度是 width * hight * 3 / 2，

假设一个分辨率为8X4的YUV图像，它们的格式如下图：

图：YUV420sp格式

图：YUV420p数据格式如下图

具体的旋转代码如下：

public static byte[] rotateYUV420Degree90(byte[] data, int imageWidth, int imageHeight) {

    byte[] yuv = new byte[imageWidth * imageHeight * 3 / 2];

    int i = 0;

    for (int x = 0; x < imageWidth; x++) {

        for (int y = imageHeight - 1; y >= 0; y--) {

            yuv[i] = data[y * imageWidth + x];

            i++;

        }

    }

    i = imageWidth * imageHeight * 3 / 2 - 1;

    for (int x = imageWidth - 1; x > 0; x = x - 2) {

        for (int y = 0; y < imageHeight / 2; y++) {

            yuv[i] = data[(imageWidth * imageHeight) + (y * imageWidth) + x];

            i--;

            yuv[i] = data[(imageWidth * imageHeight) + (y * imageWidth)

                    + (x - 1)];

            i--;

        }

    }

    return yuv;

}

private static byte[] rotateYUV420Degree180(byte[] data, int imageWidth, int imageHeight) {

    byte[] yuv = new byte[imageWidth * imageHeight * 3 / 2];

    int i = 0;

    int count = 0;

    for (i = imageWidth * imageHeight - 1; i >= 0; i--) {

        yuv[count] = data[i];

        count++;

    }

    i = imageWidth * imageHeight * 3 / 2 - 1;

    for (i = imageWidth * imageHeight * 3 / 2 - 1; i >= imageWidth

            * imageHeight; i -= 2) {

        yuv[count++] = data[i - 1];

        yuv[count++] = data[i];

    }

    return yuv;

}

public static byte[] rotateYUV420Degree270(byte[] data, int imageWidth,

                                     int imageHeight) {

    byte[] yuv = new byte[imageWidth * imageHeight * 3 / 2];

    int nWidth = 0, nHeight = 0;

    int wh = 0;

    int uvHeight = 0;

    if (imageWidth != nWidth || imageHeight != nHeight) {

        nWidth = imageWidth;

        nHeight = imageHeight;

        wh = imageWidth * imageHeight;

        uvHeight = imageHeight >> 1;// uvHeight = height / 2

    }

    int k = 0;

    for (int i = 0; i < imageWidth; i++) {

        int nPos = 0;

        for (int j = 0; j < imageHeight; j++) {

            yuv[k] = data[nPos + i];

            k++;

            nPos += imageWidth;

        }

    }

    for (int i = 0; i < imageWidth; i += 2) {

        int nPos = wh;

        for (int j = 0; j < uvHeight; j++) {

            yuv[k] = data[nPos + i];

            yuv[k + 1] = data[nPos + i + 1];

            k += 2;

            nPos += imageWidth;

        }

    }

    return rotateYuv420Degree180(rotateYuv420Degree90(data, imageWidth, imageHeight), imageWidth, imageHeight);

}

然后，如果你想要查看旋转后的图像，则通过以下代码即可：

YuvImage yuvimage = new YuvImage(

                data,

                ImageFormat.NV21,

                width,

                height,

                null);

        baos = new ByteArrayOutputStream();

        yuvimage.compressToJpeg(new Rect(0, 0, width, height), 100, baos);// 80--JPG图片的质量[0-100],100最高

        rawImage = baos.toByteArray();

        //将rawImage转换成bitmap

        BitmapFactory.Options options = new BitmapFactory.Options();

        options.inPreferredConfig = Bitmap.Config.RGB_565;

        bitmap = BitmapFactory.decodeByteArray(rawImage, 0, rawImage.length, options);

在这里边我们需要注意的是我们的宽和高，需要用转移后的，不可使用转移前的，否则会出现看到的图片有重影的现象。　　

巴特西

android camera之nv21旋转

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