#ifndef CORRECT_PROCESS_H
#define CORRECT_PROCESS_H

#include <opencv2/opencv.hpp>

//uchar m_byteArray[78336 * 26];
//int m_index[] = { 0, 4896 * 26 * 3, 4896 * 26 * 4, 4896 * 26 * 7, 4896 * 26 * 8, (78336 - 9796 * 4) * 26, (78336 - 9796) * 26 };

/// <summary>
/// 校正处理。灰阶校正+色偏校正。
/// </summary>
/// <param name="image">灰阶校正原图</param>
/// <param name="blackLevel">黑色等级</param>
/// <param name="colorCastEnable">色偏校正使能。true为进行色偏校正；false为禁止</param>
/// <param name="referValues">色偏校正参考数据</param>
/// <param name="path">校正数据关键点文件保存路径</param>
/// <returns>[0]为灰阶校正数据；[1]为正面色偏校正数据；[2]为反面校正数据</returns>
std::vector<cv::Mat> correctProcess(cv::Mat& image, int blackLevel, bool colorCastEnable, const std::vector<uchar>& referValues, int dpi, const std::string& path);

/// <summary>
/// 校正处理。灰阶校正+色偏校正。
/// </summary>
/// <param name="image1">灰阶校正原图（正）</param>
/// <param name="image2">灰阶校正原图（反）</param>
/// <param name="blackLevel">黑色等级</param>
/// <param name="colorCastEnable">色偏校正使能。true为进行色偏校正；false为禁止</param>
/// <param name="referValues">色偏校正参考数据</param>
/// <param name="path">校正数据关键点文件保存路径</param>
/// <returns>[0]为灰阶校正数据；[1]为正面色偏校正数据；[2]为反面校正数据</returns>
std::vector<cv::Mat> correctProcess(cv::Mat& image1, cv::Mat& image2, int blackLevel, bool colorCastEnable, const std::vector<uchar>& referValues, int dpi, const std::string& path);

void correctLUT(cv::Mat& image, const cv::Mat& lut);

cv::Mat readZipCorrect(uchar* data, int len, int blackLevel);
#endif