Impl blue noise generation (maybe still WIP)

This commit is contained in:
Stephen Seo 2021-01-16 22:46:47 +09:00
parent 3643dbea1a
commit fe48341665
4 changed files with 395 additions and 13 deletions

View file

@ -1,5 +1,5 @@
COMMON_FLAGS=-Wall -Wextra -Wpedantic -std=c++17
COMMON_FLAGS=-Wall -Wextra -Wpedantic -std=c++17 -lpthread
ifdef DEBUG
CPPFLAGS=${COMMON_FLAGS} -g -O0
else

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@ -1,11 +1,130 @@
#include "blue_noise.hpp"
#include <random>
#include <cassert>
#include <iostream>
#include <condition_variable>
#include <mutex>
#include <thread>
#include <chrono>
std::vector<bool> dither::blue_noise(std::size_t width, std::size_t height) {
#ifndef NDEBUG
# include <cstdio>
#endif
void dither::internal::recursive_apply_radius(
std::size_t idx, std::size_t width, std::size_t height,
std::size_t radius, const std::function<bool(std::size_t)>& fn) {
std::unordered_set<std::size_t> visited;
#ifndef NDEBUG
if(recursive_apply_radius_impl(idx, width, height, radius, fn, visited)) {
puts("recursive_apply_radius_impl found result");
} else {
puts("recursive_apply_radius_impl did NOT find result");
}
#else
recursive_apply_radius_impl(idx, width, height, radius, fn, visited);
#endif
}
bool dither::internal::recursive_apply_radius_impl(
std::size_t idx, std::size_t width, std::size_t height,
std::size_t radius, const std::function<bool(std::size_t)>& fn,
std::unordered_set<std::size_t>& visited) {
if(fn(idx)) {
return true;
}
std::size_t x, y, temp;
std::tie(x, y) = oneToTwo(idx, width);
if(x + 1 < width) {
temp = idx + 1;
if(visited.find(temp) == visited.end()) {
visited.insert(temp);
if(recursive_apply_radius_impl(
temp, width, height, radius - 1, fn, visited)) {
return true;
}
}
} else {
temp = twoToOne(0, y, width);
if(visited.find(temp) == visited.end()) {
visited.insert(temp);
if(recursive_apply_radius_impl(
twoToOne(0, y, width),
width, height, radius - 1,
fn, visited)) {
return true;
}
}
}
if(x > 0) {
temp = idx - 1;
if(visited.find(temp) == visited.end()) {
visited.insert(temp);
if(recursive_apply_radius_impl(
idx - 1, width, height, radius - 1, fn, visited)) {
return true;
}
}
} else {
temp = twoToOne(width - 1, y, width);
if(visited.find(temp) == visited.end()) {
if(recursive_apply_radius_impl(
temp, width, height, radius - 1, fn, visited)) {
return true;
}
}
}
if(y + 1 < height) {
temp = idx + width;
if(visited.find(temp) == visited.end()) {
visited.insert(temp);
if(recursive_apply_radius_impl(
temp, width, height, radius - 1, fn, visited)) {
return true;
}
}
} else {
temp = twoToOne(x, 0, width);
if(visited.find(temp) == visited.end()) {
visited.insert(temp);
if(recursive_apply_radius_impl(
temp, width, height, radius - 1, fn, visited)) {
return true;
}
}
}
if(y > 0) {
temp = idx - width;
if(visited.find(temp) == visited.end()) {
visited.insert(temp);
if(recursive_apply_radius_impl(
temp, width, height, radius - 1, fn, visited)) {
return true;
}
}
} else {
temp = twoToOne(x, height - 1, width);
if(visited.find(temp) == visited.end()) {
visited.insert(temp);
if(recursive_apply_radius_impl(
temp, width, height, radius - 1, fn, visited)) {
return true;
}
}
}
return false;
}
std::vector<bool> dither::blue_noise(std::size_t width, std::size_t height, std::size_t threads) {
std::size_t count = width * height;
std::vector<std::size_t> dither_array;
dither_array.resize(count);
std::vector<double> filter_out;
filter_out.resize(count);
std::vector<bool> pbp; // Prototype Binary Pattern
pbp.resize(count);
@ -13,9 +132,11 @@ std::vector<bool> dither::blue_noise(std::size_t width, std::size_t height) {
std::default_random_engine re(std::random_device{}());
std::uniform_int_distribution<std::size_t> dist(0, count - 1);
const std::size_t pixel_count = count * 4 / 10;
// initialize pbp
for(std::size_t i = 0; i < count; ++i) {
if(i < count / 2) {
if(i < pixel_count) {
pbp[i] = true;
} else {
pbp[i] = false;
@ -30,8 +151,203 @@ std::vector<bool> dither::blue_noise(std::size_t width, std::size_t height) {
pbp[i] = pbp[ridx];
pbp[ridx] = temp;
}
return {};
//#ifndef NDEBUG
printf("Inserting %ld pixels into image of max count %ld\n", pixel_count, count);
// generate image from randomized pbp
FILE *random_noise_image = fopen("random_noise.pbm", "w");
fprintf(random_noise_image, "P1\n%ld %ld\n", width, height);
for(std::size_t y = 0; y < height; ++y) {
for(std::size_t x = 0; x < width; ++x) {
fprintf(random_noise_image, "%d ", pbp[internal::twoToOne(x, y, width)] ? 1 : 0);
}
fputc('\n', random_noise_image);
}
fclose(random_noise_image);
//#endif
//#ifndef NDEBUG
std::size_t iterations = 0;
//#endif
while(true) {
//#ifndef NDEBUG
// if(++iterations % 10 == 0) {
printf("Iteration %ld\n", ++iterations);
// }
//#endif
// get filter values
if(threads == 1) {
for(std::size_t y = 0; y < height; ++y) {
for(std::size_t x = 0; x < width; ++x) {
filter_out[internal::twoToOne(x, y, width)] =
internal::filter(pbp, x, y, width, height);
}
}
} else {
if(threads == 0) {
threads = 10;
}
std::size_t active_count = 0;
std::mutex cv_mutex;
std::condition_variable cv;
for(std::size_t i = 0; i < count; ++i) {
{
std::unique_lock lock(cv_mutex);
active_count += 1;
}
std::thread t([] (std::size_t *ac, std::mutex *cvm,
std::condition_variable *cv, std::size_t i,
const std::vector<bool> *pbp, std::size_t width,
std::size_t height, std::vector<double> *fout) {
std::size_t x, y;
std::tie(x, y) = internal::oneToTwo(i, width);
(*fout)[i] = internal::filter(*pbp, x, y, width, height);
std::unique_lock lock(*cvm);
*ac -= 1;
cv->notify_all();
},
&active_count, &cv_mutex, &cv, i, &pbp, width, height, &filter_out);
t.detach();
std::unique_lock lock(cv_mutex);
while(active_count >= threads) {
#ifndef NDEBUG
// std::cout << "0, active_count = " << active_count
// << ", pre wait_for" << std::endl;
#endif
cv.wait_for(lock, std::chrono::seconds(1));
#ifndef NDEBUG
// std::cout << "0, active_count = " << active_count
// << ", post wait_for" << std::endl;
#endif
}
}
std::unique_lock lock(cv_mutex);
while(active_count > 0) {
cv.wait_for(lock, std::chrono::seconds(1));
}
}
#ifndef NDEBUG
// for(std::size_t i = 0; i < count; ++i) {
// std::size_t x, y;
// std::tie(x, y) = internal::oneToTwo(i, width);
// printf("%ld (%ld, %ld): %f\n", i, x, y, filter_out[i]);
// }
#endif
std::size_t min, max, min_zero, max_one;
std::tie(min, max) = internal::filter_minmax(filter_out);
if(!pbp[max]) {
max_one = internal::get_one_or_zero(pbp, true, max, width, height);
#ifndef NDEBUG
std::cout << "Post get_one(...)" << std::endl;
#endif
} else {
max_one = max;
}
if(!pbp[max_one]) {
std::cerr << "ERROR: Failed to find pbp[max] one" << std::endl;
break;
}
if(pbp[min]) {
min_zero = internal::get_one_or_zero(pbp, false, min, width, height);
#ifndef NDEBUG
std::cout << "Post get_zero(...)" << std::endl;
#endif
} else {
min_zero = min;
}
if(pbp[min_zero]) {
std::cerr << "ERROR: Failed to find pbp[min] zero" << std::endl;
break;
}
// remove 1
pbp[max_one] = false;
// get filter values again
if(threads == 1) {
for(std::size_t y = 0; y < height; ++y) {
for(std::size_t x = 0; x < width; ++x) {
filter_out[internal::twoToOne(x, y, width)] =
internal::filter(pbp, x, y, width, height);
}
}
} else {
std::size_t active_count = 0;
std::mutex cv_mutex;
std::condition_variable cv;
for(std::size_t i = 0; i < count; ++i) {
{
std::unique_lock lock(cv_mutex);
active_count += 1;
}
std::thread t([] (std::size_t *ac, std::mutex *cvm,
std::condition_variable *cv, std::size_t i,
const std::vector<bool> *pbp, std::size_t width,
std::size_t height, std::vector<double> *fout) {
std::size_t x, y;
std::tie(x, y) = internal::oneToTwo(i, width);
(*fout)[i] = internal::filter(*pbp, x, y, width, height);
std::unique_lock lock(*cvm);
*ac -= 1;
cv->notify_all();
},
&active_count, &cv_mutex, &cv, i, &pbp, width, height, &filter_out);
t.detach();
std::unique_lock lock(cv_mutex);
while(active_count >= threads) {
#ifndef NDEBUG
// std::cout << "1, active_count = " << active_count
// << ", pre wait_for" << std::endl;
#endif
cv.wait_for(lock, std::chrono::seconds(1));
#ifndef NDEBUG
// std::cout << "1, active_count = " << active_count
// << ", post wait_for" << std::endl;
#endif
}
}
std::unique_lock lock(cv_mutex);
while(active_count > 0) {
cv.wait_for(lock, std::chrono::seconds(1));
}
}
// get second buffer's min
std::size_t second_min;
std::tie(second_min, std::ignore) = internal::filter_minmax(filter_out);
if(pbp[second_min]) {
second_min = internal::get_one_or_zero(pbp, false, second_min, width, height);
if(pbp[second_min]) {
std::cerr << "ERROR: Failed to find pbp[second_min] zero" << std::endl;
break;
}
}
if(min_zero != second_min) {
pbp[max_one] = true;
break;
} else {
pbp[min_zero] = true;
}
}
//#ifndef NDEBUG
// generate blue_noise image from pbp
FILE *blue_noise_image = fopen("blue_noise.pbm", "w");
fprintf(blue_noise_image, "P1\n%ld %ld\n", width, height);
for(std::size_t y = 0; y < height; ++y) {
for(std::size_t x = 0; x < width; ++x) {
fprintf(blue_noise_image, "%d ", pbp[internal::twoToOne(x, y, width)] ? 1 : 0);
}
fputc('\n', blue_noise_image);
}
fclose(blue_noise_image);
//#endif
return pbp;
}

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@ -4,10 +4,12 @@
#include <vector>
#include <tuple>
#include <cmath>
#include <functional>
#include <unordered_set>
namespace dither {
std::vector<bool> blue_noise(std::size_t width, std::size_t height);
std::vector<bool> blue_noise(std::size_t width, std::size_t height, std::size_t threads = 1);
namespace internal {
inline std::size_t twoToOne(std::size_t x, std::size_t y, std::size_t width) {
@ -21,22 +23,22 @@ namespace internal {
constexpr double mu_squared = 1.5 * 1.5;
inline double gaussian(double x, double y) {
return std::exp(-std::sqrt(x*x + y*y)/(2*mu_squared));
return std::exp(-(x*x + y*y)/(2*mu_squared));
}
inline double filter(
const std::vector<bool>& pbp,
std::size_t x, std::size_t y,
std::size_t width) {
std::size_t width, std::size_t height) {
double sum = 0.0;
// Should be range -M/2 to M/2, but size_t cannot be negative, so range
// is 0 to M.
// p' = (M + x - (p - M/2)) % M = (3M/2 + x - p) % M
// q' = (M + y - (q - M/2)) % M = (3M/2 + y - q) % M
for(std::size_t q = 0; q <= width; ++q) {
std::size_t q_prime = (3 * width / 2 + y - q) % width;
for(std::size_t p = 0; p <= width; ++p) {
// q' = (N + y - (q - M/2)) % N = (N + M/2 + y - q) % N
for(std::size_t q = 0; q < width; ++q) {
std::size_t q_prime = (height + width / 2 + y - q) % height;
for(std::size_t p = 0; p < width; ++p) {
std::size_t p_prime = (3 * width / 2 + x - p) % width;
bool pbp_value = pbp[twoToOne(p_prime, q_prime, width)];
if(pbp_value) {
@ -47,6 +49,61 @@ namespace internal {
return sum;
}
inline std::tuple<std::size_t, std::size_t> filter_minmax(const std::vector<double>& filter) {
double min = std::numeric_limits<double>::infinity();
double max = 0.0;
std::size_t min_index = 0;
std::size_t max_index = 0;
for(std::size_t i = 0; i < filter.size(); ++i) {
if(filter[i] < min) {
min_index = i;
min = filter[i];
}
if(filter[i] > max) {
max_index = i;
max = filter[i];
}
}
return {min_index, max_index};
}
void recursive_apply_radius(
std::size_t idx, std::size_t width,
std::size_t height, std::size_t radius,
const std::function<bool(std::size_t)>& fn);
bool recursive_apply_radius_impl(
std::size_t idx, std::size_t width,
std::size_t height, std::size_t radius,
const std::function<bool(std::size_t)>& fn,
std::unordered_set<std::size_t>& visited);
inline std::size_t get_one_or_zero(
const std::vector<bool>& pbp, bool get_one,
std::size_t idx, std::size_t width, std::size_t height) {
std::size_t found_idx;
bool found = false;
for(std::size_t radius = 1; radius <= 12; ++radius) {
recursive_apply_radius(
idx, width, height, radius,
[&found_idx, &found, &pbp, &get_one] (std::size_t idx) {
if((get_one && pbp[idx]) || (!get_one && !pbp[idx])) {
found_idx = idx;
found = true;
return true;
} else {
return false;
}
});
if(found) {
return found_idx;
}
}
return idx;
}
} // namespace dither::internal
} // namespace dither

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@ -1,3 +1,12 @@
#include "blue_noise.hpp"
#include <iostream>
int main(int argc, char **argv) {
//#ifndef NDEBUG
std::cout << "Trying blue_noise..." << std::endl;
dither::blue_noise(70, 70, 8);
//#endif
return 0;
}