周末修改(round修正):2018/8/4 16:46

//2018.1.19_21:09 by Cooper Liu
//Questions? Contact me: [email protected]
//本程序为C++工程,编译环境需要配置openCV
#include <iostream>  
#include <string.h>
#include <opencv2/core/core.hpp>  
#include <opencv2/highgui/highgui.hpp>  
//#include<opencv2/opencv.hpp>//如果要包含所有库
#define PI 3.1415926
using namespace cv;
using namespace std;
//将mat类型转换为二维数组的类型
//进行dct变换
short round1(double a)

{

	if (a >= 0)

	{

		return (short)(a + 0.5);

	}

	else

	{

		return (short)(a - 0.5);

	}

}
void mydct(Mat &A, Mat &B,Mat & C,int M, int N)
{
	int p, q;
	int m, n;
	double ap, aq;
	double num;
	double max;
	int i, j;
	for (p = 0 ; p < M ; p ++)
	{
		cout << p << "\n";
		for (q = 0; q < N ; q ++)
		{
			

			if (p == 0)
			{
				ap = sqrt(1.0 / M);
			}
			else
			{
				ap = sqrt(2.0 / M);
			}
			if (q == 0)
			{
				aq = sqrt(1.0 / N);
			}
			else
			{
				aq = sqrt(2.0 / N);
			}
			double tmp = 0.0;
			
			for (m = 0; m < M; m++)
			{
				for (n = 0; n < N ; n++)

				{
					tmp += A.data[m*N + n] * cos((2 * m + 1)*p*PI / (2.0 * M)) * cos((2 * n + 1)*q*PI / (2.0 * N));//每个像素对应的tmp值即累加式计算完毕
				}
			}
			//将像素值赋给B.data
		/*	if (ap*aq*tmp < 0)
			{
				B.data[p*N + q] = 255+ap*aq*tmp;
			}
			else
			{
				B.data[p*N + q] = ap*aq*tmp;
			}*/
			B.data[p*N + q] =round1(ap*aq*tmp);
			cout << "ap:" << ap << " aq:" << aq << " tmp:" << tmp<<" mutiply:"<<ap*aq*tmp<< "  B.data:"<<(double)B.data[p*N+q]<<"\n";
		}


	}
    //得出max
	max = B.data[0];
	cout << "the origination of max:" << max<<"\n";
	for (i = 0; i < M; i++)
	{
		for (j = 0; j < N; j++) 
		{
			if (max<B.data[i*N+j])
			{
				max=B.data[i*N + j];
			}
		}
	}
	cout << "the  value of max:" << max << "\n";
	//得出归一化的B.data
	for (i = 0; i < M; i++)
	{
		for (j = 0; j < N; j++)
		{
			C.data[i*N + j] =255-B.data[i*N + j];
		} 
	}	
}
//将二维数组转化成mat类型以图片形式输出
void main()
{
	Mat img = imread("pic2.jpg", 0);//读取图像img。0表示转换为灰度图像读入
	int rows = img.rows;
	int cols = img.cols;
	imshow("原图", img);
	waitKey(0);
	//Mat fimage,fimage2;
	//img.convertTo(fimage, CV_32FC1, 1 / 255.0); //图片转化成浮点数矩阵,然后进行dct的变换----------
    //int frows = fimage.rows;
	//int fcols = fimage.cols;
	Mat B(rows, cols, CV_8UC1);
	Mat C(rows, cols, CV_8UC1);
	mydct(img,B,C,rows,cols);
	//fimage.convertTo(img, CV_8UC1);
	//namedWindow("dct后的图像");
	imshow("dct后图像", C);
	waitKey(0);
}
 
 
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AfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBosnianBulgarianCatalanCebuanoChichewaChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGujaratiHaitian CreoleHausaHawaiianHebrewHindiHmongHungarianIcelandicIgboIndonesianIrishItalianJapaneseJavaneseKannadaKazakhKhmerKoreanKurdishKyrgyzLaoLatinLatvianLithuanianLuxembourgishMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMongolianMyanmar (Burmese)NepaliNorwegianPashtoPersianPolishPortuguesePunjabiRomanianRussianSamoanScots GaelicSerbianSesothoShonaSindhiSinhalaSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTeluguThaiTurkishUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu
 
 
 
 
 
 
 
 
 
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转载自blog.csdn.net/zyckhuntoria/article/details/81412639
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