rk3399_arm_lvds/capimage/correct_ultis.cpp

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2024-03-05 03:46:18 +00:00
#include <unistd.h>
#include <sys/types.h>
#include <sys/stat.h>
#include <fcntl.h>
#include "correct_ultis.h"
#include "CorrectParam.h"
#include "commondef.h"
#define USE_NEWFLAT
using namespace cv;
void initStep()
{
for (int i = 0; i < 2; i++)
{
for (int j = 0; j < 3; j++)
{
expStep[i][j] = 600;
}
}
for (int i = 0; i < 12; i++)
{
offsetStep[i] = 256;
printf("offsetStep[%d]=%d \n", i, offsetStep[i]);
}
}
cv::Mat extractRepresentRow2(const cv::Mat &src)
{
cv::Mat BWbalenceSrc(1, src.cols * src.channels(), CV_8UC1);
cv::Mat temp_imageBW(src.rows, src.cols * src.channels(), CV_8UC1, src.data);
for (size_t i = 0; i < BWbalenceSrc.cols; i++)
BWbalenceSrc.at<uchar>(0, i) = cv::mean(temp_imageBW(cv::Rect(i, 0, 1, temp_imageBW.rows)))[0];
return BWbalenceSrc;
}
cv::Mat loadLUT(const std::string &file)
{
cv::Mat dataFile = cv::imread(file, cv::IMREAD_ANYCOLOR);
long total = dataFile.total();
int step = total / 256;
int channel = 1;
#ifndef USE_NEWFLAT
if (step == 4896 || step == 7344)
channel = 408;
else if (step == 14688 || step == 22032 || step == 44064)
channel = 432; // 486
#else
channel = 408;
#endif
cv::Mat lut(step / channel, 256, CV_8UC(channel));
memcpy(lut.data, dataFile.data, total);
return lut;
}
void initLut(const std::string lutpath, bool iscolor)
{
printf("\n-----init lutpath =%s------------", lutpath.c_str());
lutColorMat.release();
lutGrayMat.release();
if (!lutpath.empty() && (access(lutpath.c_str(), F_OK) == 0))
{
printf("\n %s", lutpath.c_str());
if (iscolor)
lutColorMat = loadLUT(lutpath); // 彩色校正值
else
lutGrayMat = loadLUT(lutpath); // 灰色校正值
}
}
void correctColor(cv::Mat &src, int dpi, int mode, bool isText, int is_8478)
{
cv::Mat lutMat;
std::string path;
if (src.type() == CV_8UC3)
{
if (lutColorMat.empty())
{
if (is_8478 == 1)
{
FPGAConfigParam_8478 param = Get_Static_CorrectParam().GetFpgaparam_8478(dpi, mode);
path = isText ? param.TextLutPath : param.LutPath;
}
else
{
FPGAConfigParam param = GetFpgaparam(dpi, mode);
path = isText ? param.TextLutPath : param.LutPath;
}
printf("\n %s", path.c_str());
if (access(path.c_str(), F_OK) != -1)
{
lutColorMat = loadLUT(path);
}
else
{
printf("error error error %s NOT FOUND \n", path.c_str());
return;
}
}
lutMat = lutColorMat;
}
else
{
if (lutGrayMat.empty())
{
if (is_8478 == 1)
{
FPGAConfigParam_8478 param = Get_Static_CorrectParam().GetFpgaparam_8478(dpi, mode);
path = isText ? param.TextLutPath : param.LutPath;
}
else
{
FPGAConfigParam param = GetFpgaparam(dpi, mode);
path = isText ? param.TextLutPath : param.LutPath;
}
printf("\n %s", path.c_str());
if (access(path.c_str(), F_OK) != -1)
{
lutGrayMat = loadLUT(path);
// brightness(lutGrayMat);
}
else
{
printf("error error error %s NOT FOUND", path.c_str());
return;
}
}
lutMat = lutGrayMat;
}
if (lutMat.empty())
{
return;
}
cv::Mat image_temp(src.rows, src.cols * src.channels() / lutMat.channels(), CV_8UC(lutMat.channels()), src.data);
for (size_t i = 0; i < image_temp.cols; i++)
cv::LUT(image_temp(cv::Rect(i, 0, 1, image_temp.rows)), lutMat(cv::Rect(0, i, 256, 1)), image_temp(cv::Rect(i, 0, 1, image_temp.rows)));
}
void creatLUTData(int dpi, int mode, FPGAConfigParam param)
{
printf("eneter creatLUTData \n");
auto colormode = mode == 1 ? IMREAD_COLOR : IMREAD_GRAYSCALE;
std::string blackPath = param.Flat_BwPath;
std::string whitePath = param.Flat_WhitePath;
std::string lutsavePath = param.LutPath;
cv::Mat lut;
cv::Mat twMat = cv::imread(whitePath, IMREAD_ANYCOLOR);
cv::Mat tbMat = cv::imread(blackPath, IMREAD_ANYCOLOR);
cv::Mat wMat, bMat;
if (mode == 1)
{
wMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, twMat.data);
bMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, tbMat.data);
}
else
{
wMat = twMat;
bMat = tbMat;
}
// lut = create_lut(extractRepresentRow2(bMat), extractRepresentRow2(wMat), dpi, mode); // add by liuyong: 刘丁维提供 2019/4/12
lut = calcLUT(extractRepresentRow2(bMat), extractRepresentRow2(wMat), false);
// Mat dst(bMat.cols * bMat.channels(), 256, CV_8UC1);
// memcpy(dst.data, lut.data, bMat.cols * bMat.channels() * 256);
cv::imwrite(param.LutPath, lut);
system(("cp -f " + param.LutPath + " " + param.LutPath + "-back").c_str());
lut = calcLUT(extractRepresentRow2(bMat), extractRepresentRow2(wMat), true);
cv::imwrite(param.TextLutPath, lut);
system(("cp -f " + param.TextLutPath + " " + param.TextLutPath + "-back").c_str());
printf("exit creatLUTData \n");
}
void creatLUTData_gray(int dpi, int mode, FPGAConfigParam param)
{
printf("eneter creatLUTData_gray \n");
auto colormode = mode == 1 ? IMREAD_COLOR : IMREAD_GRAYSCALE;
std::string blackPath = param.Flat_BwPath;
std::string whitePath = param.Flat_WhitePath;
std::string lutsavePath = param.LutPath;
cv::Mat lut;
cv::Mat twMat = cv::imread(whitePath, IMREAD_ANYCOLOR);
cv::Mat tbMat = cv::imread(blackPath, IMREAD_ANYCOLOR);
cv::Mat tw_dynamic = cv::imread(param.Flat_WhitePath.substr(0, param.Flat_WhitePath.length() - 4) + "_dynamic.bmp");
cv::Mat wMat, bMat, w_dynamic;
if (twMat.empty() && tbMat.empty())
return;
if (mode == 1)
{
wMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, twMat.data);
bMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, tbMat.data);
}
else
{
wMat = twMat;
bMat = tbMat;
}
if (!tw_dynamic.empty())
{
w_dynamic = mode == 1 ? cv::Mat(tw_dynamic.rows, tw_dynamic.cols * 3, CV_8UC1, tw_dynamic.data) : tw_dynamic;
std::vector<cv::Mat> w;
w.push_back(colMean(bMat));
w.push_back(colMean(wMat));
w.push_back(colMean(w_dynamic));
lut = calcLUT_gray(w);
}
else
lut = calcLUT_gray(bMat, wMat);
// lut = create_lut(extractRepresentRow2(bMat), extractRepresentRow2(wMat), dpi, mode); // add by liuyong: 刘丁维提供 2019/4/12
cv::imwrite(param.LutPath, lut);
// lut = calcLUT_gray(bMat,wMat);
// cv::imwrite(param.TextLutPath, lut);
printf("exit creatLUTData_gray \n");
}
void creatLUTData(int dpi, int mode, FPGAConfigParam_8478 param)
{
FPGAConfigParam tmp_{};
tmp_.Flat_BwPath = param.Flat_BwPath;
tmp_.Flat_WhitePath = param.Flat_WhitePath;
tmp_.LutPath = param.LutPath;
tmp_.TextLutPath = param.TextLutPath;
creatLUTData(dpi, mode, tmp_);
}
void creatLUTData_gray(int dpi, int mode, FPGAConfigParam_8478 param)
{
FPGAConfigParam tmp_{};
tmp_.Flat_BwPath = param.Flat_BwPath;
tmp_.Flat_WhitePath = param.Flat_WhitePath;
tmp_.LutPath = param.LutPath;
tmp_.TextLutPath = param.TextLutPath;
creatLUTData_gray(dpi, mode, tmp_);
}
void creatLUTData(int dpi, int mode)
{
printf("eneter creatLUTData \n");
auto param = GetFpgaparam(dpi, mode);
auto colormode = mode == 1 ? IMREAD_COLOR : IMREAD_GRAYSCALE;
std::string blackPath = param.Flat_BwPath;
std::string whitePath = param.Flat_WhitePath;
std::string lutsavePath = param.LutPath;
cv::Mat lut;
cv::Mat twMat = cv::imread(whitePath, IMREAD_ANYCOLOR);
cv::Mat tbMat = cv::imread(blackPath, IMREAD_ANYCOLOR);
cv::Mat wMat, bMat;
if (twMat.empty() && tbMat.empty())
return;
if (mode == 1)
{
wMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, twMat.data);
bMat = cv::Mat(twMat.rows, twMat.cols * 3, CV_8UC1, tbMat.data);
}
else
{
wMat = twMat;
bMat = tbMat;
}
// lut = create_lut(extractRepresentRow2(bMat), extractRepresentRow2(wMat), dpi, mode); // add by liuyong: 刘丁维提供 2019/4/12
lut = calcLUT(extractRepresentRow2(bMat), extractRepresentRow2(wMat), false);
// Mat dst(bMat.cols * bMat.channels(), 256, CV_8UC1);
// memcpy(dst.data, lut.data, bMat.cols * bMat.channels() * 256);
cv::imwrite(param.LutPath, lut);
lut = calcLUT(extractRepresentRow2(bMat), extractRepresentRow2(wMat), true);
cv::imwrite(param.TextLutPath, lut);
printf("exit creatLUTData \n");
}
FPGAConfigParam GetFpgaparam(int dpi, int mode)
{
FPGAConfigParam param = Get_Static_CorrectParam().GetFpgaparam(dpi, mode);
return param;
}
void SaveFpgaparam(FPGAConfigParam &param)
{
Get_Static_CorrectParam().SaveCorrectParam(param);
}
cv::Mat colMean(const cv::Mat &image)
{
cv::Mat meanMat(1, image.step, CV_8UC1);
cv::Mat tempMat(image.rows, image.step, CV_8UC1, image.data);
for (int i = 0; i < tempMat.step; i++)
meanMat.data[i] = cv::mean(tempMat(cv::Rect(i, 0, 1, tempMat.rows)))[0];
return meanMat;
}
float gamma(float value, float ex)
{
return cv::pow(value / 255.0f, 1.0f / ex) * 255.0f + 0.5f;
}
#define GAMMA_EX 1.7f
#define BLACK_OFFSET 5
void fittingLUT(const std::vector<uchar> &points, uchar min_value, uchar max_value, uchar *data)
{
float step = max_value - min_value + 1;
memset(data, min_value, 127);
memset(data + 127, max_value, 129);
int b = points[0];
int w = points[1];
int tb = min_value;
int tw = max_value;
step = cv::max((float)(tw - tb + 1) / (float)(w - b + 1), 0.0f);
float temp;
for (int j = 0, length = (255 - b + 1); j < length; j++)
{
temp = gamma(tb + step * j, GAMMA_EX) - BLACK_OFFSET;
data[j + b] = cv::min(255, cv::max(0, static_cast<int>(temp)));
}
}
void fittingLUT_gray(const std::vector<uchar> &points, uchar min_value, uchar max_value, uchar *data)
{
float step = max_value - min_value + 1;
memset(data, min_value, 127);
memset(data + 127, max_value, 129);
int b = points[0];
int w = points[1];
int tb = min_value;
int tw = max_value;
step = cv::max((float)(tw - tb + 1) / (float)(w - b + 1), 0.0f);
float temp;
for (int j = 0, length = (255 - b + 1); j < length; j++)
{
#if 0
temp = gamma(tb + step * j, GAMMA_EX) - BLACK_OFFSET;
#else
temp = tb + step * j;
#endif
data[j + b] = cv::min(255, cv::max(0, static_cast<int>(temp)));
}
}
#define CHANNEL 408
cv::Mat calcLUT(const cv::Mat &black, const cv::Mat &white, bool isTextCorrection)
{
std::vector<cv::Mat> w;
w.push_back(colMean(black));
w.push_back(colMean(white));
cv::Mat lut = createLUT(w, isTextCorrection);
for (size_t i = 0, block = lut.rows / CHANNEL; i < block; i++)
{
cv::Mat lutROI = lut(cv::Rect(0, i * CHANNEL, 256, CHANNEL));
cv::Mat tran;
cv::transpose(lutROI, tran);
memcpy(lutROI.data, tran.data, tran.total());
}
return lut;
}
cv::Mat splitJoint(const cv::Mat &staticMat, const cv::Mat &dynamicsMat)
{
cv::Mat dst(1, staticMat.cols, staticMat.type());
uchar *ptr_dst = dst.data;
uchar *ptr_mat1 = staticMat.data;
uchar *ptr_mat2 = dynamicsMat.data;
int offset = staticMat.step * 25 / 1000;
cv::Range range1(offset, staticMat.step / 2 - offset);
cv::Range range2(staticMat.step / 2 + offset, staticMat.step - offset);
for (size_t i = 0; i < dst.step; i++)
{
// if (i < range1.start || i > range2.end || (i > range1.end && i < range2.start))
if (ptr_mat1[i] > ptr_mat2[i] + 50)
ptr_dst[i] = ptr_mat1[i];
else
ptr_dst[i] = ptr_mat2[i];
// else
// ptr_dst[i] = ptr_mat2[i];
}
return dst;
}
cv::Mat calcLUT_gray(const cv::Mat &black, const cv::Mat &white)
{
std::vector<cv::Mat> w;
w.push_back(colMean(black));
w.push_back(colMean(white));
cv::Mat lut = createLUT_gray(w);
for (size_t i = 0, block = lut.rows / CHANNEL; i < block; i++)
{
cv::Mat lutROI = lut(cv::Rect(0, i * CHANNEL, 256, CHANNEL));
cv::Mat tran;
cv::transpose(lutROI, tran);
memcpy(lutROI.data, tran.data, tran.total());
}
return lut;
// std::vector<cv::Mat> w;
// w.push_back(colMean(black));
// w.push_back(colMean(white));
// if(!dynamic.empty())
// w.push_back(colMean(dynamic));
// if (w.size() == 3)
// {
// cv::Mat newWhite = splitJoint(w[1], w[2]);
// w.erase(w.end() - 1);
// w[1] = newWhite;
// }
// cv::Mat lut = createLUT_gray(w);
// int channel = (lut.rows % CHANNEL == 0) ? CHANNEL : 459;
// for (size_t i = 0, block = lut.rows / channel; i < block; i++)
// {
// cv::Mat lutROI = lut(cv::Rect(0, i * channel, 256, channel));
// cv::Mat tran;
// cv::transpose(lutROI, tran);
// memcpy(lutROI.data, tran.data, tran.total());
// }
// return lut;
}
cv::Mat calcLUT_gray(std::vector<cv::Mat> &w)
{
if (w.size() == 3)
{
cv::Mat newWhite = splitJoint(w[1], w[2]);
w.erase(w.end() - 1);
w[1] = newWhite;
// cv::imwrite("/home/test.bmp",newWhite);
}
cv::Mat lut = createLUT_gray(w);
int channel = (lut.rows % CHANNEL == 0) ? CHANNEL : 459;
for (size_t i = 0, block = lut.rows / channel; i < block; i++)
{
cv::Mat lutROI = lut(cv::Rect(0, i * channel, 256, channel));
cv::Mat tran;
cv::transpose(lutROI, tran);
memcpy(lutROI.data, tran.data, tran.total());
}
return lut;
}
cv::Mat create_lut(const cv::Mat &black, const cv::Mat &white, int dpi, bool colormode)
{
#ifndef USE_NEWFLAT
if (black.empty() || white.empty() || black.channels() != 1 || white.channels() != 1 || black.step != white.step)
return cv::Mat();
int channel = 1;
if (black.step == 4896 || black.step == 7344)
channel = 408;
else if (black.step == 14688 || black.step == 22032 || black.step == 44064)
channel = 432; // 486
if (channel == 1)
return cv::Mat();
const int rows = black.cols / channel;
const int cols = 256;
auto cc = CV_8UC(channel);
Mat lut(rows, cols, CV_8UC(channel));
const double gain = 255.0 / ((double)Get_Static_CorrectParam().GetFpgaparam(dpi, colormode).MaxBright);
for (size_t i = 0; i < rows; i++)
{
Mat lut_row = lut(cv::Rect(0, i, cols, 1));
unsigned char *ptr_buffer = lut_row.data;
unsigned char *ptr_black = black.data + i * channel;
unsigned char *ptr_white = white.data + i * channel;
for (size_t j = 0; j < cols; j++)
for (size_t k = 0; k < channel; k++)
{
if (ptr_black[k] >= ptr_white[k])
{
ptr_buffer[j * channel + k] = 0;
continue;
}
if (j <= ptr_black[k])
ptr_buffer[j * channel + k] = 0;
else if (j >= ptr_white[k])
ptr_buffer[j * channel + k] = 255;
else
{
float val = 255.0f * (j - ptr_black[k]) / (ptr_white[k] - ptr_black[k]) * gain;
ptr_buffer[j * channel + k] = (unsigned char)cv::max(0.0f, cv::min(val, 255.0f));
}
}
}
cv::Mat saveMat(black.step, 256, CV_8UC1, lut.data);
return saveMat.clone();
#else
return calcLUT(black, white, false);
#endif
}
std::vector<double> caculate(const std::vector<double> &points_x, const std::vector<double> &points_y)
{
int MaxElement = points_x.size() - 1;
// 计算常数f
double f = points_y[0];
// 求解
int n, m;
// double a[MaxElement][MaxElement+1];
std::vector<std::vector<double>> a;
// a.resize(MaxElement);
for (int i = 0; i < MaxElement; i++)
{
std::vector<double> b;
b.resize(MaxElement + 1);
a.push_back(b);
}
for (int i = 0; i < MaxElement; i++)
{
for (int j = 0; j < MaxElement; j++)
a[i][j] = cv::pow(points_x[i + 1], MaxElement - j);
a[i][MaxElement] = points_y[i + 1] - f;
}
int i, j;
n = MaxElement;
for (j = 0; j < n; j++)
{
double max = 0;
double imax = 0;
for (i = j; i < n; i++)
{
if (imax < cv::abs(a[i][j]))
{
imax = cv::abs(a[i][j]);
max = a[i][j]; // 得到各行中所在列最大元素
m = i;
}
}
if (cv::abs(a[j][j]) != max)
{
double b = 0;
for (int k = j; k < n + 1; k++)
{
b = a[j][k];
a[j][k] = a[m][k];
a[m][k] = b;
}
}
for (int r = j; r < n + 1; r++)
{
a[j][r] = a[j][r] / max; // 让该行的所在列除以所在列的第一个元素目的是让首元素为1
}
for (i = j + 1; i < n; i++)
{
double c = a[i][j];
if (c == 0.0)
continue;
for (int s = j; s < n + 1; s++)
{
a[i][s] = a[i][s] - a[j][s] * c; // 前后行数相减使下一行或者上一行的首元素为0
}
}
}
for (i = n - 2; i >= 0; i--)
{
for (j = i + 1; j < n; j++)
{
a[i][n] = a[i][n] - a[j][n] * a[i][j];
}
}
std::vector<double> result;
for (int k = 0; k < n; k++)
result.push_back(a[k][n]);
result.push_back(f);
return result;
}
cv::Mat createLUT_gray(const std::vector<cv::Mat> &mats)
{
int rows = mats[0].cols;
cv::Mat lut(rows, 256, CV_8UC1);
double max_val, min_val;
cv::minMaxIdx(mats[0], &min_val, nullptr);
cv::minMaxIdx(mats[1], nullptr, &max_val);
for (size_t i = 0; i < rows; i++)
{
std::vector<uchar> grayPoints;
for (size_t j = 0; j < mats.size(); j++)
grayPoints.push_back(mats[j].data[i]);
fittingLUT_gray(grayPoints, static_cast<uchar>(min_val), static_cast<uchar>(max_val), lut.data + i * 256);
}
return lut;
}
cv::Mat createLUT(const std::vector<cv::Mat> &mats, bool isTextCorrect)
{
int rows = mats[0].cols;
cv::Mat lut(rows, 256, CV_8UC1);
double max_val, min_val;
cv::minMaxIdx(mats[0], &min_val, nullptr);
cv::minMaxIdx(mats[1], nullptr, &max_val);
for (size_t i = 0; i < rows; i++)
{
std::vector<uchar> grayPoints;
for (size_t j = 0; j < mats.size(); j++)
grayPoints.push_back(mats[j].data[i]);
fittingLUT(grayPoints, static_cast<uchar>(min_val), static_cast<uchar>(max_val), lut.data + i * 256);
}
if (isTextCorrect)
{
// std::vector<double> points_x = {0, 25, 205, 255}, points_y = {0, 0, 230, 255};
std::vector<double> points_x = {0, 25, 215, 255}, points_y = {0, 0, 250, 255};
// std::vector<double> points_x = {0, 25, 80, 150, 215}, points_y = {0, 0, 80, 170, 255};
std::vector<double> coefficient = caculate(points_x, points_y);
uchar buffer[256];
uchar buffer_B[256];
for (int i = 0; i < 256; i++)
{
// int temp = coefficient[0] * i * i * i *i+ coefficient[1] * i * i*i + coefficient[2] * i*i + coefficient[3]*i+coefficient[4];
int temp = coefficient[0] * i * i * i + coefficient[1] * i * i + coefficient[2] * i + coefficient[3];
buffer[i] = static_cast<uchar>(cv::min(255, cv::max(0, temp)));
}
coefficient = caculate({0, 25, 220, 255}, {0, 0, 250, 255});
for (int i = 0; i < 256; i++)
{
// int temp = coefficient[0] * i * i * i *i+ coefficient[1] * i * i*i + coefficient[2] * i*i + coefficient[3]*i+coefficient[4];
int temp = coefficient[0] * i * i * i + coefficient[1] * i * i + coefficient[2] * i + coefficient[3];
buffer_B[i] = static_cast<uchar>(cv::min(255, cv::max(0, temp)));
}
cv::Mat lut_lut(256, 1, CV_8UC1, buffer);
cv::Mat lut_lut_B(256, 1, CV_8UC1, buffer_B);
cv::LUT(lut(cv::Rect(0,0,lut.cols,lut.rows/2)), lut_lut, lut(cv::Rect(0,0,lut.cols,lut.rows/2)));
cv::LUT(lut(cv::Rect(0,lut.rows/2,lut.cols,lut.rows/2)), lut_lut_B, lut(cv::Rect(0,lut.rows/2,lut.cols,lut.rows/2)));
// cv::LUT(lut,lut_lut,lut);
}
return lut;
}