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#include <opencv2/core.hpp> | ||
#include <opencv2/highgui.hpp> | ||
#include <iostream> | ||
#include <math.h> | ||
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int main(int argc, const char* argv[]){ | ||
cv::Mat img = cv::imread("imori.jpg", cv::IMREAD_COLOR); | ||
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int width = img.rows; | ||
int height = img.cols; | ||
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double rx = 1.5, ry = 1.5; | ||
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int resized_width = (int)(width * rx); | ||
int resized_height = (int)(height * ry); | ||
int x_before, y_before; | ||
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cv::Mat out = cv::Mat::zeros(resized_height, resized_width, CV_8UC3); | ||
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// nearest neighbor interpolation | ||
for (int y = 0; y < resized_height; y++){ | ||
y_before = (int)round(y / ry); | ||
y_before = fmin(y_before, height - 1); | ||
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for (int x = 0; x < resized_width; x++){ | ||
x_before = (int)round(x / rx); | ||
x_before = fmin(x_before, width - 1); | ||
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for (int k = 0; k < 3; k++){ | ||
out.at<cv::Vec3b>(y, x)[k] = img.at<cv::Vec3b>(y_before, x_before)[k]; | ||
} | ||
} | ||
} | ||
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//cv::imwrite("out.jpg", out); | ||
cv::imshow("answer", out); | ||
cv::waitKey(0); | ||
cv::destroyAllWindows(); | ||
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return 0; | ||
} |
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#include <opencv2/core.hpp> | ||
#include <opencv2/highgui.hpp> | ||
#include <iostream> | ||
#include <math.h> | ||
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int main(int argc, const char* argv[]){ | ||
cv::Mat img = cv::imread("imori.jpg", cv::IMREAD_COLOR); | ||
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int width = img.rows; | ||
int height = img.cols; | ||
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double rx = 1.5, ry = 1.5; | ||
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int resized_width = (int)(width * rx); | ||
int resized_height = (int)(height * ry); | ||
int x_before, y_before; | ||
double dx, dy; | ||
double val; | ||
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cv::Mat out = cv::Mat::zeros(resized_height, resized_width, CV_8UC3); | ||
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// bi-linear interpolation | ||
for (int y = 0; y < resized_height; y++){ | ||
y_before = (int)floor(y / ry); | ||
y_before = fmin(y_before, height - 1); | ||
dy = y / ry - y_before; | ||
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for (int x = 0; x < resized_width; x++){ | ||
x_before = (int)floor(x / rx); | ||
x_before = fmin(x_before, width - 1); | ||
dx = x / rx - x_before; | ||
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for (int k = 0; k < 3; k++){ | ||
val = (1. - dx) * (1. - dy) * img.at<cv::Vec3b>(y_before, x_before)[k] + | ||
dx * (1. - dy) * img.at<cv::Vec3b>(y_before, x_before + 1)[k] + | ||
(1. - dx) * dy * img.at<cv::Vec3b>(y_before + 1, x_before)[k] + | ||
dx * dy * img.at<cv::Vec3b>(y_before + 1, x_before)[k]; | ||
out.at<cv::Vec3b>(y, x)[k] = (uchar)val; | ||
} | ||
} | ||
} | ||
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//cv::imwrite("out.jpg", out); | ||
cv::imshow("answer", out); | ||
cv::waitKey(0); | ||
cv::destroyAllWindows(); | ||
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return 0; | ||
} |
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#include <opencv2/core.hpp> | ||
#include <opencv2/highgui.hpp> | ||
#include <iostream> | ||
#include <math.h> | ||
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double h(double t){ | ||
double a = -1; | ||
if (fabs(t) <= 1){ | ||
return (a + 2) * pow(fabs(t), 3) - (a + 3) * pow(fabs(t), 2) + 1; | ||
} else if(fabs(t) <= 2){ | ||
return a * pow(fabs(t), 3) - 5 * a * pow(fabs(t), 2) + 8 * a * fabs(t) - 4 * a; | ||
} | ||
return 0; | ||
} | ||
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int val_clip(int x, int min, int max){ | ||
return fmin(fmax(x, min), max); | ||
} | ||
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int main(int argc, const char* argv[]){ | ||
cv::Mat img = cv::imread("imori.jpg", cv::IMREAD_COLOR); | ||
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int width = img.rows; | ||
int height = img.cols; | ||
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double rx = 1.5, ry = 1.5; | ||
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int resized_width = (int)(width * rx); | ||
int resized_height = (int)(height * ry); | ||
int x_before, y_before; | ||
double dx, dy, wx, wy, w_sum; | ||
double val; | ||
int _x, _y; | ||
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cv::Mat out = cv::Mat::zeros(resized_height, resized_width, CV_8UC3); | ||
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// bi-cubic interpolation | ||
for (int y = 0; y < resized_height; y++){ | ||
dy = y / ry; | ||
y_before = (int)floor(dy); | ||
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for (int x = 0; x < resized_width; x++){ | ||
dx = x / rx; | ||
x_before = (int)floor(dx); | ||
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for (int k = 0; k < 3; k++){ | ||
w_sum = 0; | ||
val = 0; | ||
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for (int j = -1; j < 3; j++){ | ||
_y = val_clip(y_before + j, 0, height - 1); | ||
wy = h(fabs(dy - _y)); | ||
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for (int i = -1; i < 3; i++){ | ||
_x = val_clip(x_before + i, 0, width - 1); | ||
wx = h(fabs(dx - _x)); | ||
w_sum += wy * wx; | ||
val += (double)img.at<cv::Vec3b>(_y, _x)[k] * wx * wy; | ||
} | ||
} | ||
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val /= w_sum; | ||
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val = val_clip(val, 0, 255); | ||
out.at<cv::Vec3b>(y, x)[k] = (uchar)val; | ||
} | ||
} | ||
} | ||
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//cv::imwrite("out.jpg", out); | ||
cv::imshow("answer", out); | ||
cv::waitKey(0); | ||
cv::destroyAllWindows(); | ||
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return 0; | ||
} | ||
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<!DOCTYPE html> | ||
<html> | ||
<head> | ||
<meta charset="utf-8"/> | ||
<title>Image Processing</title> | ||
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</head> | ||
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<body> | ||
<h1>Image Processing!</h1> | ||
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<canvas id="canvas" style="border: solid thin black;"></canvas> | ||
<canvas id="canvas_result" style="border: solid thin black;"></canvas> | ||
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<br> | ||
<button onclick="process();" style="margin-left: 90px; font-size: 20px;">process!</button> | ||
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<script type="text/javascript"> | ||
let image = new Image(); | ||
var src = "imori.jpg"; | ||
image.src = src; | ||
const canvas = document.getElementById("canvas"); | ||
const ctx = canvas.getContext("2d"); | ||
const canvas_result = document.getElementById("canvas_result"); | ||
const ctx_result = canvas_result.getContext("2d"); | ||
image.onload = () => { | ||
canvas.width = image.width; | ||
canvas.height = image.height; | ||
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ctx.drawImage(image, 0, 0, canvas.width, canvas.height); | ||
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canvas_result.width = image.width; | ||
canvas_result.height = image.height; | ||
} | ||
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function process(){ | ||
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let src = ctx.getImageData(0, 0, image.width, image.height); | ||
let dst = ctx_result.createImageData(image.width, image.height); | ||
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//for ( var i = 0; i < 128; i++){ src.data[i * 4] = 255;} | ||
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/* | ||
src.data[29 * 4 + 19 * 128 * 4] = 255; | ||
src.data[29 * 4 + 19 * 128 * 4 + 1] = 0; | ||
src.data[29 * 4 + 19 * 128 * 4 + 2] = 0; | ||
//src.data[29 * 4 + 19 * 128 + 3] = 0; | ||
*/ | ||
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for (let i = 0; i < src.data.length; i+= 4){ | ||
dst.data[i] = src.data[i]; | ||
dst.data[i+1] = src.data[i+1]; | ||
dst.data[i+2] = src.data[i+2]; | ||
dst.data[i+3] = src.data[i+3]; | ||
} | ||
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ctx_result.putImageData(dst, 0, 0); | ||
} | ||
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</script> | ||
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</body> | ||
</html> |