bayer RAW24 转彩 c++
时间: 2024-01-31 13:10:26 浏览: 30
以下是使用C++进行Bayer RAW24转彩的示例代码:
```cpp
#include <iostream>
#include <fstream>
#include <vector>
// 定义Bayer图像的宽度和高度
const int WIDTH = 640;
const int HEIGHT = 480;
// 定义RGB图像的宽度和高度
const int RGB_WIDTH = WIDTH;
const int RGB_HEIGHT = HEIGHT;
// 定义Bayer图像的像素类型
struct BayerPixel {
unsigned char r;
unsigned char g;
unsigned char b;
};
// 定义RGB图像的像素类型
struct RGBPixel {
unsigned char r;
unsigned char g;
unsigned char b;
};
// 将Bayer RAW24图像转换为RGB图像
void bayerToRGB(const unsigned char* bayerData, RGBPixel* rgbData) {
for (int y = 0; y < HEIGHT; y++) {
for (int x = 0; x < WIDTH; x++) {
int index = y * WIDTH + x;
int bayerIndex = index * 3;
int rgbIndex = index * 3;
// 提取Bayer图像的RGB分量
unsigned char r = bayerData[bayerIndex];
unsigned char g = bayerData[bayerIndex + 1];
unsigned char b = bayerData[bayerIndex + 2];
// 将Bayer图像的RGB分量转换为RGB图像的RGB分量
rgbData[rgbIndex].r = r;
rgbData[rgbIndex].g = g;
rgbData[rgbIndex].b = b;
}
}
}
int main() {
// 读取Bayer RAW24图像数据
std::ifstream file("bayer.raw", std::ios::binary);
std::vector<unsigned char> bayerData(WIDTH * HEIGHT * 3);
file.read(reinterpret_cast<char*>(bayerData.data()), bayerData.size());
file.close();
// 创建RGB图像数据
std::vector<RGBPixel> rgbData(RGB_WIDTH * RGB_HEIGHT);
// 将Bayer RAW24图像转换为RGB图像
bayerToRGB(bayerData.data(), rgbData.data());
// 输出RGB图像数据
for (int y = 0; y < RGB_HEIGHT; y++) {
for (int x = 0; x < RGB_WIDTH; x++) {
int index = y * RGB_WIDTH + x;
std::cout << "Pixel (" << x << ", " << y << "): ";
std::cout << "R = " << static_cast<int>(rgbData[index].r) << ", ";
std::cout << "G = " << static_cast<int>(rgbData[index].g) << ", ";
std::cout << "B = " << static_cast<int>(rgbData[index].b) << std::endl;
}
}
return 0;
}
```
请注意,上述代码假设Bayer RAW24图像的宽度和高度为640x480,并且Bayer图像的像素顺序为RGB。如果实际情况不同,请相应地修改代码。