File:Mandelbrot Set Image 75.png

Summary

Description
Русский: Фрагмент множества Мандельброта, координаты центра: -0.691488093510181825, -0.465680729473216972 ширина изображения 0.0000000000000016
English: Fragment of the Mandelbrot set, coordinates: -0.691488093510181825, -0.465680729473216972 width 0.0000000000000016
Беларуская: Фрагмент мноства Мандэльброта, каардынаты цэнтра: -0.691488093510181825, -0.465680729473216972 шырыня 0.0000000000000016
Date
Source Own work
Author Aokoroko
Other versions
Source code (C++ with OpenMP, 80-bit, SSAA 8x8)
InfoField
#include <iostream>
#include <fstream>
#include <vector>
#include <cmath>
#include <cstdint>
#include <string>
#include <atomic>
#include <omp.h>
#include <cstdio>
using namespace std;
const double PI = 3.14159265358979323846;

#pragma pack(push, 1)
struct BMPHeader {
uint16_t type{0x4D42};
uint32_t size{0};
uint16_t reserved1{0};
uint16_t reserved2{0};
uint32_t offBits{54};
uint32_t structSize{40};
int32_t  width{0};
int32_t  height{0};
uint16_t planes{1};
uint16_t bitCount{24};
uint32_t compression{0};
uint32_t sizeImage{0};
int32_t  xpelsPerMeter{2834};
int32_t  ypelsPerMeter{2834};
uint32_t clrUsed{0};
uint32_t clrImportant{0};};

#pragma pack(pop)
void save_bmp(const string& filename, const vector<uint8_t>& data, int w, int h) {
int rowSize = (w * 3 + 3) & ~3;
BMPHeader header;
header.width = w;
header.height = h;
header.sizeImage = rowSize * h;
header.size = header.sizeImage + 54;
ofstream f(filename, ios::binary);
f.write(reinterpret_cast<char*>(&header), 54);
f.write(reinterpret_cast<const char*>(data.data()), data.size());
f.close();}

int main() {
long double absc = -1.749675773048651182L;
long double ordi = -0.000001140170813768L;
long double size_val = 0.0000000000000021L;
const int targetW = 3840;
const int targetH = 3840;
const int scale = 8;
const int rawW = targetW * scale;
const int rawH = targetH * scale;
cout << "Step 1: Calculating Raw Map (" << rawW << "x" << rawH << ")..." << endl;
vector<uint8_t> iterMap(rawW * rawH);
long double step = size_val / rawW;
long double startX = absc - (size_val / 2.0);
long double startY = ordi - (step * rawH / 2.0);
atomic<int> linesDone{0};

#pragma omp parallel for schedule(dynamic)
for (int b = 0; b < rawH; ++b) {
for (int a = 0; a < rawW; ++a) {
long double m = startX + a * step;
long double n = startY + b * step;
long double c = m, d = n, cc, dd;
int t = 50000;
do { cc = c * c; dd = d * d;
d = (c + c) * d + n;
c = cc - dd + m;
t--; } while (t > 0 && (cc + dd <= 50000.0));
if (t == 0) {
iterMap[b * rawW + a] = 255;} else {
iterMap[b * rawW + a] = (uint8_t)(t % 255); } }
if (++linesDone % 100 == 0) cout << "Progress: " << linesDone << "/" << rawH << "\r" << flush; }
uint8_t pal[256][3];
for (int a = 0; a < 255; ++a) {
pal[a][0] = (uint8_t)round(127 + 127 * cos(2 * PI * a / 255.0));
pal[a][1] = (uint8_t)round(127 + 127 * sin(2 * PI * a / 255.0));
pal[a][2] = (uint8_t)round(127 + 127 * sin(2 * PI * a / 255.0)); }
pal[255][0] = 255; pal[255][1] = 255; pal[255][2] = 255;
cout << "\nStep 2: Rendering frames..." << endl;
int rowSize = (targetW * 3 + 3) & ~3;
for (int frame = 0; frame < 255; ++frame) {
vector<uint8_t> frameData(rowSize * targetH);

#pragma omp parallel for schedule(static)
for (int y = 0; y < targetH; ++y) {
for (int x = 0; x < targetW; ++x) {
uint32_t rSum = 0, gSum = 0, bSum = 0;
for (int j = 0; j < scale; ++j) {
for (int i = 0; i < scale; ++i) {
uint8_t t = iterMap[(y * scale + j) * rawW + (x * scale + i)];
int colorIdx;
if (t == 255) { colorIdx = 255; } else { colorIdx = (t - frame + 255) % 255; }
bSum += pal[colorIdx][0];
gSum += pal[colorIdx][1];
rSum += pal[colorIdx][2]; } }
int outIdx = y * rowSize + x * 3;
frameData[outIdx + 0] = (uint8_t)(bSum >> 6);
frameData[outIdx + 1] = (uint8_t)(gSum >> 6);
frameData[outIdx + 2] = (uint8_t)(rSum >> 6); } }
string filename = "Mandelbrot" + to_string(1000 + frame).substr(1) + ".bmp";
save_bmp(filename, frameData, targetW, targetH);
cout << "Frame " << frame << "/254 saved.   \r" << flush; }
return 0; }

Technical details

  • Method: High-Fidelity C++ Implementation (80-bit long double precision).
  • Anti-aliasing: 64x SSAA (8x8 supersampling).
  • Iterations: 50,000 max.
  • Software: C++ (compiled with g++), GNU C++ Compiler.

Notes

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

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