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Comparing version 0.1.0 to 0.1.1

.npmignore

218

jimp.js

@@ -10,2 +10,19 @@ var FS = require("fs");

var chars = 0;
function log(msg) {
clear();
process.stdout.write(msg);
chars = msg.length;
}
function clear() {
while (chars-- > 0) {
process.stdout.write("\b");
}
}
process.on("exit", clear);
/**

@@ -150,2 +167,201 @@ * Jimp constructor

/**
* Applies a true Gaussian blur to the image (warning: this is VERY slow)
* @param r the pixel radius of the blur
* @returns this for chaining of methods
*/
Jimp.prototype.gaussian = function (r) {
// http://blog.ivank.net/fastest-gaussian-blur.html
if ("number" != typeof r)
throw new Error("r must be a number");
if (r < 1)
throw new Error("r must be greater than 0");
var rs = Math.ceil(r * 2.57); // significant radius
for (var y = 0; y < this.bitmap.height; y++) {
log("Gaussian: " + Math.round(y / this.bitmap.height * 100) + "%");
for (var x = 0; x < this.bitmap.width; x++) {
var red = 0;
var green = 0;
var blue = 0;
var alpha = 0;
var wsum = 0;
for (var iy = y - rs; iy < y + rs + 1; iy++) {
for (var ix = x - rs; ix < x + rs + 1; ix++) {
var x1 = Math.min(this.bitmap.width - 1, Math.max(0, ix));
var y1 = Math.min(this.bitmap.height - 1, Math.max(0, iy));
var dsq = (ix - x) * (ix - x) + (iy - y) * (iy - y);
var wght = Math.exp( -dsq / (2*r*r) ) / (Math.PI*2*r*r);
var idx = (y1 * this.bitmap.width + x1) << 2;
red += this.bitmap.data[idx] * wght;
green += this.bitmap.data[idx+1] * wght;
blue += this.bitmap.data[idx+2] * wght;
alpha += this.bitmap.data[idx+3] * wght;
wsum += wght;
}
var idx = (y * this.bitmap.width + x) << 2;
this.bitmap.data[idx] = Math.round( red / wsum);
this.bitmap.data[idx+1] = Math.round( green / wsum);
this.bitmap.data[idx+2] = Math.round( blue / wsum);
this.bitmap.data[idx+3] = Math.round( alpha / wsum);
}
}
}
return this;
};
/*
Superfast Blur (0.5)
http://www.quasimondo.com/BoxBlurForCanvas/FastBlur.js
Copyright (c) 2011 Mario Klingemann
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
restriction, including without limitation the rights to use,
copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the
Software is furnished to do so, subject to the following
conditions:
The above copyright notice and this permission notice shall be
included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
OTHER DEALINGS IN THE SOFTWARE.
*/
var mul_table = [1,57,41,21,203,34,97,73,227,91,149,62,105,45,39,137,241,107,3,173,39,71,65,238,219,101,187,87,81,151,141,133,249,117,221,209,197,187,177,169,5,153,73,139,133,127,243,233,223,107,103,99,191,23,177,171,165,159,77,149,9,139,135,131,253,245,119,231,224,109,211,103,25,195,189,23,45,175,171,83,81,79,155,151,147,9,141,137,67,131,129,251,123,30,235,115,113,221,217,53,13,51,50,49,193,189,185,91,179,175,43,169,83,163,5,79,155,19,75,147,145,143,35,69,17,67,33,65,255,251,247,243,239,59,29,229,113,111,219,27,213,105,207,51,201,199,49,193,191,47,93,183,181,179,11,87,43,85,167,165,163,161,159,157,155,77,19,75,37,73,145,143,141,35,138,137,135,67,33,131,129,255,63,250,247,61,121,239,237,117,29,229,227,225,111,55,109,216,213,211,209,207,205,203,201,199,197,195,193,48,190,47,93,185,183,181,179,178,176,175,173,171,85,21,167,165,41,163,161,5,79,157,78,154,153,19,75,149,74,147,73,144,143,71,141,140,139,137,17,135,134,133,66,131,65,129,1];
var shg_table = [0,9,10,10,14,12,14,14,16,15,16,15,16,15,15,17,18,17,12,18,16,17,17,19,19,18,19,18,18,19,19,19,20,19,20,20,20,20,20,20,15,20,19,20,20,20,21,21,21,20,20,20,21,18,21,21,21,21,20,21,17,21,21,21,22,22,21,22,22,21,22,21,19,22,22,19,20,22,22,21,21,21,22,22,22,18,22,22,21,22,22,23,22,20,23,22,22,23,23,21,19,21,21,21,23,23,23,22,23,23,21,23,22,23,18,22,23,20,22,23,23,23,21,22,20,22,21,22,24,24,24,24,24,22,21,24,23,23,24,21,24,23,24,22,24,24,22,24,24,22,23,24,24,24,20,23,22,23,24,24,24,24,24,24,24,23,21,23,22,23,24,24,24,22,24,24,24,23,22,24,24,25,23,25,25,23,24,25,25,24,22,25,25,25,24,23,24,25,25,25,25,25,25,25,25,25,25,25,25,23,25,23,24,25,25,25,25,25,25,25,25,25,24,22,25,25,23,25,25,20,24,25,24,25,25,22,24,25,24,25,24,25,25,24,25,25,25,25,22,25,25,25,24,25,24,25,18];
/**
* A fast blur algorithm that produces similar effect to a Gausian blur - but MUCH quicker
* @param r the pixel radius of the blur
* @returns this for chaining of methods
*/
Jimp.prototype.blur = function (r) {
if ("number" != typeof r)
throw new Error("r must be a number");
if (r < 1)
throw new Error("r must be greater than 0");
var rsum, gsum, bsum, asum, x, y, i, p, p1, p2, yp, yi, yw, idx, pa;
var wm = this.bitmap.width - 1;
var hm = this.bitmap.height - 1;
var wh = this.bitmap.width * this.bitmap.height;
var rad1 = r + 1;
var mul_sum = mul_table[r];
var shg_sum = shg_table[r];
var red = [];
var green = [];
var blue = [];
var alpha = [];
var vmin = [];
var vmax = [];
var iterations = 2;
while (iterations-- > 0) {
yw = yi = 0;
for (y = 0; y < this.bitmap.height; y++) {
rsum = this.bitmap.data[yw] * rad1;
gsum = this.bitmap.data[yw + 1] * rad1;
bsum = this.bitmap.data[yw + 2] * rad1;
asum = this.bitmap.data[yw + 3] * rad1;
for (i = 1; i <= r; i++) {
p = yw + (((i > wm ? wm : i)) << 2);
rsum += this.bitmap.data[p++];
gsum += this.bitmap.data[p++];
bsum += this.bitmap.data[p++];
asum += this.bitmap.data[p]
}
for (x = 0; x < this.bitmap.width; x++) {
red[yi] = rsum;
green[yi] = gsum;
blue[yi] = bsum;
alpha[yi] = asum;
if (y == 0) {
vmin[x] = ((p = x + rad1) < wm ? p : wm) << 2;
vmax[x] = ((p = x - r) > 0 ? p << 2 : 0);
}
p1 = yw + vmin[x];
p2 = yw + vmax[x];
rsum += this.bitmap.data[p1++] - this.bitmap.data[p2++];
gsum += this.bitmap.data[p1++] - this.bitmap.data[p2++];
bsum += this.bitmap.data[p1++] - this.bitmap.data[p2++];
asum += this.bitmap.data[p1] - this.bitmap.data[p2];
yi++;
}
yw += (this.bitmap.width << 2);
}
for (x = 0; x < this.bitmap.width; x++) {
yp = x;
rsum = red[yp] * rad1;
gsum = green[yp] * rad1;
bsum = blue[yp] * rad1;
asum = alpha[yp] * rad1;
for (i = 1; i <= r; i++) {
yp += (i > hm ? 0 : this.bitmap.width);
rsum += red[yp];
gsum += green[yp];
bsum += blue[yp];
asum += alpha[yp];
}
yi = x << 2;
for (y = 0; y < this.bitmap.height; y++) {
this.bitmap.data[yi + 3] = pa = (asum * mul_sum) >>> shg_sum;
if (pa > 255) this.bitmap.data[yi + 3] = 255; // normalise alpha
if (pa > 0) {
pa = 255 / pa;
this.bitmap.data[yi] = ((rsum * mul_sum) >>> shg_sum) * pa;
this.bitmap.data[yi + 1] = ((gsum * mul_sum) >>> shg_sum) * pa;
this.bitmap.data[yi + 2] = ((bsum * mul_sum) >>> shg_sum) * pa;
} else {
this.bitmap.data[yi] = this.bitmap.data[yi + 1] = this.bitmap.data[yi + 2] = 0;
}
if (x == 0) {
vmin[y] = ((p = y + rad1) < hm ? p : hm) * this.bitmap.width;
vmax[y] = ((p = y - r) > 0 ? p * this.bitmap.width : 0);
}
p1 = x + vmin[y];
p2 = x + vmax[y];
rsum += red[p1] - red[p2];
gsum += green[p1] - green[p2];
bsum += blue[p1] - blue[p2];
asum += alpha[p1] - alpha[p2];
yi += this.bitmap.width << 2;
}
}
}
return this;
}
/**
* Removes colour from the image

@@ -187,3 +403,3 @@ * @returns this for chaining of methods

/**
* Multiplies the opacity of each pizel by a factor between 0 and 1
* Multiplies the opacity of each pixel by a factor between 0 and 1
* @returns this for chaining of methods

@@ -190,0 +406,0 @@ */

{
"name": "jimp",
"version": "0.1.0",
"version": "0.1.1",
"description": "An image processing library written entirely in JavaScript (i.e. zero external or native dependencies).",

@@ -26,3 +26,10 @@ "main": "jimp.js",

"mime": "~1.2.11"
},
"repository": {
"type" : "git",
"url" : "https://github.com/oliver-moran/jimp.git"
},
"bugs": {
"url" : "https://github.com/oliver-moran/jimp/issues"
}
}

@@ -21,7 +21,7 @@ # Jimp #

.write("lena-small-bw-cropped.png"); // save again
});;
});
## Methods ##
The Jimp constructor takes two arugments, the path to a JPEG or PNG image and an optional call back when the image is parsed:
The Jimp constructor takes two arugments, the path to a JPEG or PNG image and an optional call back for when the image is parsed:

@@ -41,3 +41,7 @@ var image = new Jimp("./path/to/image.jpg", function () {

image.scale( f ); // scale the image by the factor f
image.blur( r ); // fast blur the image by r pixels
image.gaussian( r ); // Gaussian blur the image by r pixels (VERY slow)
(Contributions of more methods are welcome!)
The image can be written to disk in JPEG or PNG format using:

@@ -79,1 +83,5 @@

});
## License ##
Jimp is licensed under the MIT license.

2

resize.js

@@ -428,2 +428,2 @@ // JavaScript Image Resizer (c) 2012 - Grant Galitz

module.exports = Resize;
module.exports = Resize;

Sorry, the diff of this file is not supported yet

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