JavaScript
Solusi ini menggunakan elemen kanvas HTML5 untuk mengekstrak data gambar, tetapi tanpa perlu menggunakan HTML, itu berarti dapat dijalankan di konsol Anda. Ini mengakses gambar palet warna sebagai array; Saya menyimpan semua warna dari gambar palet dalam array). Ini output ke konsol (setelah selesai) dan juga menyimpan hasilnya dalam sebuah variabel.
Versi kode yang paling baru ada di biola . Biola juga menggunakan algoritma yang lebih baik untuk mengurangi noise pada gambar. Peningkatan dalam algoritma sebagian besar memperbaiki fungsi (maks ke menit) yang menyebabkan warna terbalik dipilih.
Kode dalam bentuk Ikon MS Paint! (kode yang diformat dalam biola atau Cuplikan Stack)
eval(` function
Paint(t){fun
ction n(t){va
r n=t.toString(
16);return 1==n.
length?"0"+n:n}fu
nction e(t){return
"#"+n(t[0])+n(t[1]
)+n(t[2])}var a=ne
w Image,i=document.
createElement("canv
as"),h=null,o=docum
ent.createElement(
"canvas"),r= o.getContext("2d
") ,l=[],u=this,c =[[0,0,0],[255
,2 55,255],[ 192,192, 192],[128,12
8 ,128],[126,3,8],[252,13,27] ,[255,25
3, 56],[128,127,23],[15,127,18],[ 41,253
, 46],[45,255,254],[17,128,127],[2 ,12,1
2 6],[ 11,36,2 51],[252,40,252],[12 7,15,1
2 6],[ 128,127 ,68],[255,253,136],[4 2,253,
1 33], [4,64,64],[23 ,131,251],[133,255,254],
[ 129 ,132,252],[6,6 6,126],[127,37,2 51],[127,
6 4,1 3],[253,128,73],[252,22,129]];a.crossOrigin
= "", a.src=t,this.done=this.done||function(){},a.o
n load=function(){function t(t){var n=0,e=0,a=0;return
t .forEach(function(t){n+=t[0],e+=t[1],a+=t[2]}),[n/t.leng
t h,e /t.length,a/t.length]}function n(t){for(var n=[],e=0;e
< t.l ength;e+=1)n.push(t[e]);return n}function g(t,n){retur
n (Ma th.abs(t[0]-n[0])/255+Math.abs(t[1]-n[1])/255+Math.abs(t
[ 2]- n[2])/255)/3}function f(t,n){for(var e=Math.floor(Math.ran
do m()*n.length),a=n[e],i=(g(t,a),1-.8),h=56,o=[];o.length<=h&
&g (t,a)>i;)if(o.push(a),a=n[Math.floor(Math.random()*n.length)]
, o.length==h){var r=o.map(function(n){return g(t,n)});a=o[r.indexO
f(Math.max.apply(Math,r))],o.push(a)}return a}function s(t,n){for(
v ar e=[];t.length>0;)e.push(t.splice(0,n).slice(0,-1));return e}i.w
i dth=a.width,i.height=2*a.height,h=i.getContext("2d"),h.drawImage(a,0
,0,a.width,a.height);for(var d=(function(t){reduce=t.map(function(t){re
turn(t[ 0]+t[1]+t[2])/3})}(c),0),m=0,v=i.width*i.height/4,p=0;v>p;p+=1)d
>2*Mat h.ceil(a.width/2)&&(d=0,m+=1),l.push(f(t(s(n(h.getImageData(2*d,2
*m,4,4).data),4)),c)),d+=1;o.width=i.width,o.height=i.height;for(var d=0
,m=0,v=i.width*i.height/4,p=0;v>p;p+=1)d>2*Math.ceil(a.width/2)&&(d=0,m+=
1),console.log("Filling point ("+d+", "+m+") : "+e(l[p])),r.fillStyle=e(l
[p]),r.fillRect(2*d+1,2*m,2,1) ,r.fillRect(2*d,2*m+1,4,2),r.fillRect(2*d
+1,2*m+3,2,1),d+=1;u.result=o .toDataURL("image/png"),u.resultCanvas
=o,u.imageCanvas=i,u.image=a ,u.done(),console.log(u.result)},a.one
rror=function(t){console.log ("The image failed to load. "+t)}}/*..
............................ ......................................
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*/`
.replace(/\n/g,''))
Pemakaian:
Paint('DATA URI');
Biola menggunakan crossorigin.me sehingga Anda tidak perlu khawatir tentang cross-origin-resource-sharing.
Saya juga memperbarui biola sehingga Anda dapat menyesuaikan beberapa nilai untuk menghasilkan lukisan yang paling cantik. Beberapa warna gambar mungkin mati, untuk menghindari ini, sesuaikan accept_rate untuk menyesuaikan algoritme. Angka yang lebih rendah berarti gradien yang lebih baik, angka yang lebih tinggi akan menghasilkan warna yang lebih tajam.
Ini biola sebagai Stack-Snippet (TIDAK diperbarui, jika biola tidak berfungsi):
/* Options */
var accept_rate = 82, // 0 (low) - 100 (high)
attempts = 16, // Attemps before giving up
edge_multi = 2; // Contrast, 2-4
function Paint(image_url) {
var image = new Image(), canvas = document.createElement('canvas'), context = null, result = document.createElement('canvas'), resultContext = result.getContext('2d'), final_colors = [], self = this, color_choices = [
[0,0,0],
[255,255,255],
[192,192,192],
[128,128,128],
[126,3,8],
[252,13,27],
[255,253,56],
[128,127,23],
[15,127,18],
[41,253,46],
[45,255,254],
[17,128,127],
[2,12,126],
[11,36,251],
[252,40,252],
[127,15,126],
[128,127,68],
[255,253,136],
[42,253,133],
[4,64,64],
[23,131,251],
[133,255,254],
[129,132,252],
[6,66,126],
[127,37,251],
[127,64,13],
[253,128,73],
[252,22,129]
];
image.crossOrigin = "";
image.src = image_url;
this.done = this.done || function () {};
function hex(c) {
var res = c.toString(16);
return res.length == 1 ? "0" + res : res;
}
function colorHex(r) {
return '#' + hex(r[0]) + hex(r[1]) + hex(r[2]);
}
image.onload = function () {
canvas.width = image.width; canvas.height = image.height * 2;
context = canvas.getContext('2d');
context.drawImage(image, 0, 0, image.width, image.height);
function averageColors(colors_ar) {
var av_r = 0,
av_g = 0,
av_b = 0;
colors_ar.forEach(function (color) {
av_r += color[0];
av_g += color[1];
av_b += color[2];
});
return [av_r / colors_ar.length,
av_g / colors_ar.length,
av_b / colors_ar.length];
}
function arrayFrom(ar) {
var newar = [];
for (var i = 0; i < ar.length; i += 1) {
newar.push(ar[i]);
}
return newar;
}
function colorDif(c1,c2) {
// Get's distance between two colors 0.0 - 1.0
return (Math.abs(c1[0] - c2[0]) / 255 +
Math.abs(c1[1] - c2[1]) / 255 +
Math.abs(c1[2] - c2[2]) / 255) / 3;
}
var furthest = (function (cc) {
// Determines furthest color
// Reduces RGB into a "single value"
reduce = cc.map(function(color) {
return ( color[0] + color [1] + color [2] ) / 3;
});
}(color_choices));
function intDif(i1,i2,t) {
return Math.abs(i1 - i2) / t
}
function arrayIs(ar, int,d) {
return intDif(ar[0],int,255) <= d &&
intDif(ar[1],int,255) <= d &&
intDif(ar[2],int,255) <= d
}
function colorLoop(c1,c2) {
var edgeCap = edge_multi * ((accept_rate / 100) / 50), values = c2.map(function (i) {
return colorDif(c1,i);
});
return arrayIs(c1,255,edgeCap)?[255,255,255]:
arrayIs(c1,0,edgeCap) ?[0,0,0]:
c2[values.indexOf(Math.min.apply(Math, values))];
}
function colorFilter(c1, c2) {
// Does the color stuff
var rand = Math.floor( Math.random() * c2.length ), // Random number
color = c2[rand], // Random color
randdif = colorDif(c1, color),
threshhold = 1 - accept_rate / 100, // If the color passes a threshhold
maxTries = attempts, // To avoid infinite looping, 56 is the maximum tries to reach the threshold
tries = [];
// Repeat until max iterations have been reached or color is close enough
while ( tries.length <= maxTries && colorDif( c1, color ) > threshhold ) {
tries.push(color);
color = c2[Math.floor(Math.random() * c2.length)]; // Tries again
if (tries.length == maxTries) {
// Used to hold color and location
var refLayer = tries.map(function(guess) {
return colorDif(c1, guess);
});
color = tries[refLayer.indexOf(Math.min.apply(Math, refLayer))];
tries.push(color);
}
}
var edgeCap = edge_multi * ((accept_rate / 100) / 50), loop = colorLoop(c1, c2);
return arrayIs(c1,255,edgeCap)?[255,255,255]:
arrayIs(c1,0,edgeCap) ?[0,0,0]:
colorDif(c1,color)<accept_rate?color:
loop;
}
function chunk(ar, len) {
var arrays = [];
while (ar.length > 0)
arrays.push(ar.splice(0, len).slice(0, -1));
return arrays;
}
var x = 0, y = 0, total = (canvas.width * canvas.height) / 4;
for (var i = 0; i < total; i += 1) {
if (x > (Math.ceil(image.width / 2) * 2)) {
x = 0;
y += 1;
}
final_colors.push( colorFilter( averageColors( chunk( arrayFrom(context.getImageData(x * 2, y * 2, 4, 4).data), 4 ) ), color_choices) );
x += 1;
}
// Paint Image
result.width = canvas.width;
result.height = canvas.height;
var x = 0, y = 0, total = (canvas.width * canvas.height) / 4;
for (var i = 0; i < total; i += 1) {
if (x > (Math.ceil(image.width / 2) * 2)) {
x = 0;
y += 1;
}
console.log("Filling point (" + x + ", " + y + ") : " + colorHex(final_colors[i]));
resultContext.fillStyle = colorHex(final_colors[i]);
resultContext.fillRect(x*2 + 1, y * 2, 2 , 1); // Top
resultContext.fillRect(x * 2, y * 2 + 1, 4, 2); // Middle
resultContext.fillRect(x * 2 + 1, y * 2 + 3, 2, 1); // Bottom
x += 1;
}
self.result = result.toDataURL("image/png");
self.resultCanvas = result;
self.imageCanvas = canvas;
self.image = image;
self.done();
console.log(self.result);
};
image.onerror = function(error) {
console.log("The image failed to load. " + error);
}
}
// Demo
document.getElementById('go').onclick = function () {
var url = document.getElementById('image').value;
if (!url.indexOf('data:') == 0) {
url = 'http://crossorigin.me/' + url;
}
var example = new Paint(url);
example.done = function () {
document.getElementById('result').src = example.result;
document.getElementById('result').width = example.resultCanvas.width;
document.getElementById('result').height = example.resultCanvas.height;
window.paint = example;
};
};
<!--This might take a while-->
Enter the image data URI or a URL, I've used crossorigin.me so it can perform CORS requests to the image. If you're inputting a URL, be sure to include the http(s)
<input id="image" placeholder="Image URI or URL"><button id="go">Go</button>
<hr/>
You can get the image URI from a website like <a href="http://jpillora.com/base64-encoder/">this one</a>
<hr/>
Result:
<img id="result">
<span id="error"></span><hr/>
Check your console for any errors. After a second, you should see the colors that are being generated / printed getting outputted to the console.
Untuk mengenang flyby New Horizon tentang Pluto, saya telah memasukkan gambar Pluto:
Untuk yang berikut ini saya telah mengaturnya untuk membuat mereka menyerupai aslinya sedekat mungkin:
Saya menjalankan ini dengan wallpaper default OS X Yosemite. Setelah dibiarkan berjalan sedikit, hasilnya benar-benar menakjubkan. File asli sangat besar (26 MB) jadi saya mengubah ukuran dan mengompresnya:
Malam berbintang (Saya telah menggunakan gambar beresolusi lebih tinggi untuk hasil yang lebih baik)
Gambar yang saya temukan di google:
