Bayer8转RGB并用OpenCV显示
opencv
OpenCV: 开源计算机视觉库
项目地址：https://gitcode.com/gh_mirrors/opencv31/opencv
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版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/oHanTanYanYing/article/details/81945479
最近做项目用到工业摄像头，其输出最小的数据流是Bayer8，因为带宽有限，只好选用之。
在获得数据后，解析成了比较要命的问题，因为ffmpeg等比较简单的工具没有该格式对其他格式的装换，因此只能自行实现。在这里万分感谢下面这个博客
https://blog.csdn.net/leng_que/article/details/5961436
本人基本上是按照该博客修改出了自己能用的版本（直接照抄会有些变量未定义的问题），下面也分享出来吧。
BayerToRGB.h
//原作者：Vojtech Pavlik
//2010-10-23 23:25:16 冷却 整理、封装以及测试
#pragma once
typedef
unsigned
char
uint8_t;
typedef
unsigned
short
uint16_t;
#define u8 uint8_t
#define R(x,y) m_pRGB24[2 + 3 * ((x) + m_ulWidth * (y))]
#define G(x,y) m_pRGB24[1 + 3 * ((x) + m_ulWidth * (y))]
#define B(x,y) m_pRGB24[0 + 3 * ((x) + m_ulWidth * (y))]
#define Bay(x,y) m_pBay[(x) + m_ulWidth * (y)]
class BayerToRGB
{
public:
BayerToRGB();
public:
//函数名称：Bayer8ToRgb24
//描述：将8位Bayer原始数据转换为24位RGB格式数据
//注意：该函数不可重入
/*
* 要求的Bayer数据排列格式如下（GBRG）：
*
* G B G B G B G B...
* R G R G R G R G...
* G B G B G B G B...
* R G R G R G R G...
* G B G B G B G B...
* R G R G R G R G...
* G B G B G B G B...
* R G R G R G R G...
* ..................
* ..................
*/
static int Bayer8ToRgb24(unsigned char* pbBayer, int dwWidth, int dwHeight, unsigned char* pbRgb, int iRgbBufLen);
protected:
int ExecBayer8ToRgb24(unsigned char* pbBayer, int dwWidth, int dwHeight, unsigned char* pbRgb, int iRgbBufLen);
private:
unsigned
long m_ulWidth;
unsigned
long m_ulHeight;
u8 *m_pBay;
u8 *m_pRGB24;
private:
void bayer_copy(int x, int y);
void bayer_bilinear(int x, int y);
void bayer_to_rgb24();
};
opencv
OpenCV: 开源计算机视觉库
项目地址：https://gitcode.com/gh_mirrors/opencv31/opencv
BayerToRGB.cpp
#include "stdafx.h"
#include "BayerToRGB.h"
#pragma warning(disable: 4244)
#pragma warning(disable: 4018)
BayerToRGB::BayerToRGB()
{
m_ulWidth =
0;
m_ulHeight =
0;
m_pBay =
NULL;
m_pRGB24 =
NULL;
}
int BayerToRGB::Bayer8ToRgb24(
unsigned
char * pbBayer,
int dwWidth,
int dwHeight,
unsigned
char* pbRgb,
int iRgbBufLen)
{
BayerToRGB cPixelFormatConvert;
return cPixelFormatConvert.ExecBayer8ToRgb24(pbBayer, dwWidth, dwHeight, pbRgb, iRgbBufLen);
return
0;
}
int BayerToRGB::ExecBayer8ToRgb24(
unsigned
char * pbBayer,
int dwWidth,
int dwHeight,
unsigned
char* pbRgb,
int iRgbBufLen)
{
if (
NULL == pbBayer ||
NULL == pbRgb)
{
return
0;
}
if (dwWidth <=
0 || dwHeight <=
0 || iRgbBufLen <=
0)
{
return
0;
}
if (iRgbBufLen != dwWidth * dwHeight *
3)
{
return
0;
}
m_pBay = pbBayer;
m_pRGB24 = pbRgb;
m_ulWidth = dwWidth;
m_ulHeight = dwHeight;
bayer_to_rgb24();
return
1;
}
void BayerToRGB::bayer_copy(
int x,
int y)
{
G(x +
0, y +
0) = Bay(x +
0, y +
0);
G(x +
1, y +
1) = Bay(x +
1, y +
1);
G(x +
0, y +
1) = G(x +
1, y +
0) = ((
unsigned
long)Bay(x +
0, y +
0) + (
unsigned
long)Bay(x +
1, y +
1)) /
2;
R(x +
0, y +
0) = R(x +
1, y +
0) = R(x +
1, y +
1) = R(x +
0, y +
1) = Bay(x +
0, y +
1);
B(x +
1, y +
1) = B(x +
0, y +
0) = B(x +
0, y +
1) = B(x +
1, y +
0) = Bay(x +
1, y +
0);
}
void BayerToRGB::bayer_bilinear(
int x,
int y)
{
R(x +
0, y +
0) = ((
unsigned
long)Bay(x +
0, y +
1) + (
unsigned
long)Bay(x +
0, y -
1)) /
2;
G(x +
0, y +
0) = Bay(x +
0, y +
0);
B(x +
0, y +
0) = ((
unsigned
long)Bay(x -
1, y +
0) + (
unsigned
long)Bay(x +
1, y +
0)) /
2;
R(x +
0, y +
1) = Bay(x +
0, y +
1);
G(x +
0, y +
1) = ((
unsigned
long)Bay(x +
0, y +
0) + (
unsigned
long)Bay(x +
0, y +
2) + (
unsigned
long)Bay(x -
1, y +
1) + (
unsigned
long)Bay(x +
1, y +
1)) /
4;
B(x +
0, y +
1) = ((
unsigned
long)Bay(x +
1, y +
0) + (
unsigned
long)Bay(x -
1, y +
0) + (
unsigned
long)Bay(x +
1, y +
2) + (
unsigned
long)Bay(x -
1, y +
2)) /
4;
R(x +
1, y +
0) = ((
unsigned
long)Bay(x +
0, y +
1) + (
unsigned
long)Bay(x +
2, y +
1) + (
unsigned
long)Bay(x +
0, y -
1) + (
unsigned
long)Bay(x +
2, y -
1)) /
4;
G(x +
1, y +
0) = ((
unsigned
long)Bay(x +
0, y +
0) + (
unsigned
long)Bay(x +
2, y +
0) + (
unsigned
long)Bay(x +
1, y -
1) + (
unsigned
long)Bay(x +
1, y +
1)) /
4;
B(x +
1, y +
0) = Bay(x +
1, y +
0);
R(x +
1, y +
1) = ((
unsigned
long)Bay(x +
0, y +
1) + (
unsigned
long)Bay(x +
2, y +
1)) /
2;
G(x +
1, y +
1) = Bay(x +
1, y +
1);
B(x +
1, y +
1) = ((
unsigned
long)Bay(x +
1, y +
0) + (
unsigned
long)Bay(x +
1, y +
2)) /
2;
}
void BayerToRGB::bayer_to_rgb24()
{
int i, j;
for (i =
0; i < m_ulWidth; i +=
2)
{
for (j =
0; j < m_ulHeight; j +=
2)
{
if (i ==
0 || j ==
0 || i == m_ulWidth -
2 || j == m_ulHeight -
2)
{
bayer_copy(i, j);
}
else
{
bayer_bilinear(i, j);
}
}
}
}
使用（需要注意本人从摄像头获取到的数据第一行是RGRG，所以做了相应的修改，也就是扔掉了第一行。。。）：
#include "ffmpegDecode.hpp"
#include <opencv2/core/core.hpp>//OpenCV包含头文件
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/opencv.hpp>
#include <iostream>
#include "BayerToRGB.h"
#define IMGLEN 691200
using
namespace
std;
using
namespace cv;
char imgdata[IMGLEN];
void main()
{
FILE *PF;
fopen_s(&PF,
"1.save",
"rb");
fread(imgdata,
1, IMGLEN, PF);
fclose(PF);
Mat img(720, 960, CV_8UC3,Scalar(0,0,0));
//bayer8 转 RGB
/* 要求的Bayer数据排列格式如下(注意排列的不同)：
* R G R G R G R G...
* G B G B G B G B...
* R G R G R G R G...
* G B G B G B G B...
* R G R G R G R G...
* G B G B G B G B...
* R G R G R G R G...
*/
double t = (
double)cvGetTickCount();
BayerToRGB::Bayer8ToRgb24((uchar*)(&imgdata[
960]),
960,
719, img.data, img.step*
719);
cout <<
"花费时间" << ((
double)cvGetTickCount() - t) / ((
double)cvGetTickFrequency() *
1000) <<
"ms" <<
endl;
imshow(
"", img);
waitKey();
img.release();
}
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