要将BGRA缓冲区转换为AYUV格式,可以使用以下代码示例:
#include
void convertBGRAtoAYUV(unsigned char* bgraBuffer, unsigned char* ayuvBuffer, int width, int height) {
int numPixels = width * height;
for (int i = 0; i < numPixels; i++) {
unsigned char b = bgraBuffer[i * 4];
unsigned char g = bgraBuffer[i * 4 + 1];
unsigned char r = bgraBuffer[i * 4 + 2];
unsigned char a = bgraBuffer[i * 4 + 3];
unsigned char y = (unsigned char)(0.299 * r + 0.587 * g + 0.114 * b);
unsigned char u = (unsigned char)(-0.147 * r - 0.289 * g + 0.436 * b);
unsigned char v = (unsigned char)(0.615 * r - 0.515 * g - 0.100 * b);
ayuvBuffer[i * 4] = a;
ayuvBuffer[i * 4 + 1] = y;
ayuvBuffer[i * 4 + 2] = u;
ayuvBuffer[i * 4 + 3] = v;
}
}
int main() {
int width = 640;
int height = 480;
unsigned char* bgraBuffer = new unsigned char[width * height * 4];
unsigned char* ayuvBuffer = new unsigned char[width * height * 4];
// 假设从某个地方获取到了BGRA缓冲区数据,将其存储在bgraBuffer中
// 调用转换函数进行转换
convertBGRAtoAYUV(bgraBuffer, ayuvBuffer, width, height);
// 输出AYUV缓冲区数据
for (int i = 0; i < width * height * 4; i++) {
std::cout << (int)ayuvBuffer[i] << " ";
}
// 释放内存
delete[] bgraBuffer;
delete[] ayuvBuffer;
return 0;
}
上述代码中的convertBGRAtoAYUV
函数将遍历BGRA缓冲区中的每个像素,并使用AYUV的转换公式计算出对应的YUV值,并将其存储在AYUV缓冲区中。在main
函数中,首先定义了图像的宽度和高度,然后创建了用于存储BGRA和AYUV缓冲区数据的数组。接下来,调用convertBGRAtoAYUV
函数进行转换,并输出AYUV缓冲区数据。最后,记得释放内存以避免内存泄漏。