//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
void mydct(Mat &A,int M,int N)
{
int p, q;
int m, n;
double ap, aq;
for (p = 0; p < M - 1; p++)
{
for (q = 0; q < N - 1; 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 - 1; m++)
{
for (n = 0; n < N - 1; n++)
{
tmp += A.at<uchar>(m, n) * cos((2 * m + 1)*p*PI / (2.0 * M)) * cos((2 * n + 1)*q*PI / (2.0 * N));
}
}
A.at<uchar>(p, q)= ap*aq*tmp;
}
}
}
//将二维数组转化成mat类型以图片形式输出
void main()
{
Mat img = imread("pic.png", 0);//读取图像img。0表示转换为灰度图像读入
namedWindow("原图");
imshow("原图", img);
// mydct(img,img.rows,img.cols);
//namedWindow("dct后的图像");
//imshow("原图", img);
}
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AfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBosnianBulgarianCatalanCebuanoChichewaChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGujaratiHaitian CreoleHausaHawaiianHebrewHindiHmongHungarianIcelandicIgboIndonesianIrishItalianJapaneseJavaneseKannadaKazakhKhmerKoreanKurdishKyrgyzLaoLatinLatvianLithuanianLuxembourgishMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMongolianMyanmar (Burmese)NepaliNorwegianPashtoPersianPolishPortuguesePunjabiRomanianRussianSamoanScots GaelicSerbianSesothoShonaSindhiSinhalaSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTeluguThaiTurkishUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu |
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