jimp - npm Package Compare versions

Comparing version 0.2.19 to 0.2.20

package.json

		{
		"name": "jimp",
		"version": "0.2.19",
		"version": "0.2.20",
		"description": "An image processing library written entirely in JavaScript (i.e. zero external or native dependencies).",
		@@ -5,0 +5,0 @@ "main": "index.js",

README.md

		@@ -26,6 +26,6 @@ # Jimp #
		Jimp.read("lenna.png").then(function (lenna) {
		lenna.resize(256, 256) // resize
		.quality(60) // set JPEG quality
		.greyscale() // set greyscale
		.write("lena-small-bw.jpg") // save
		lenna.resize(256, 256) // resize
		.quality(60) // set JPEG quality
		.greyscale() // set greyscale
		.write("lena-small-bw.jpg"); // save
		}).catch(function (err) {
		@@ -72,2 +72,3 @@ console.error(err);
		image.crop( x, y, w, h ); // crop to the given region
		image.autocrop(); // automatically crop same-color borders from image (if any)
		image.invert(); // invert the image colours
		@@ -214,6 +215,6 @@ image.flip( horz, vert ); // flip the image horizontally or vertically

		var red = this.bitmap.data[idx];
		var green = this.bitmap.data[idx+1];
		var blue = this.bitmap.data[idx+2];
		var alpha = this.bitmap.data[idx+3];
		var red = this.bitmap.data[ idx + 0 ];
		var green = this.bitmap.data[ idx + 1 ];
		var blue = this.bitmap.data[ idx + 2 ];
		var alpha = this.bitmap.data[ idx + 3 ];

		@@ -276,3 +277,3 @@ // rgba values run from 0 - 255
		```js
		Jimp.distance(image1, image2); // returns a number 0-1, where 0 means the two images are percieved to be identical
		Jimp.distance(image1, image2); // returns a number 0-1, where 0 means the two images are perceived to be identical
		```
		@@ -288,10 +289,8 @@

		Using a mix of hammering distance and pixel diffing to comare images, the following code has a 99% success rate of detecting the same image from a random sample (with 1% false positives). The test this figure is drawn from attempts to match each image from sample of 120 PNGs against 120 corresponing JPEGs saved at a quality setting of 60.
		Using a mix of hammering distance and pixel diffing to comare images, the following code has a 99% success rate of detecting the same image from a random sample (with 1% false positives). The test this figure is drawn from attempts to match each image from a sample of 120 PNGs against 120 corresponing JPEGs saved at a quality setting of 60.

		```js
		var distance = Jimp.distance(png, jpeg); // percieved distance
		var distance = Jimp.distance(png, jpeg); // perceived distance
		var diff = Jimp.diff(png, jpeg); // pixel difference

		var jpeg_r = jpeg.clone().resize(png.bitmap.width, png.bitmap.height);
		var diff = Jimp.diff(png, jpeg_r); // pixel difference

		if (distance < 0.15 \|\| diff.percent < 0.15) {
		@@ -298,0 +297,0 @@ // images match

index.js

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