The "JavaScript Image Manipulation Program" :-)
An image processing library for Node written entirely in JavaScript, with zero external or native dependencies.
Installation: npm install --save jimp
Example usage:
var Jimp = require("jimp");
// open a file called "lenna.png"
Jimp.read("lenna.png", function (err, lenna) {
if (err) throw err;
lenna.resize(256, 256) // resize
.quality(60) // set JPEG quality
.greyscale() // set greyscale
.write("lena-small-bw.jpg"); // save
});
Using promises:
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
}).catch(function (err) {
console.error(err);
});
Now also available for use in the browser for image manipulation in web workers without <canvas>
. See browser/README.md
.
The static Jimp.read
method takes the path to a PNG, JPEG or BMP file and (optionally) a Node-style callback and returns a Promise:
Jimp.read("./path/to/image.jpg", function (err, image) {
// do stuff with the image (if no exception)
});
Jimp.read("./path/to/image.jpg").then(function (image) {
// do stuff with the image
}).catch(function (err) {
// handle an exception
});
The method can also read a PNG, JPEG or BMP buffer or from a URL:
Jimp.read(lenna.buffer, function (err, image) {
// do stuff with the image (if no exception)
});
Jimp.read("https://www.example.com/path/to/lenna.jpg", function (err, image) {
// do stuff with the image (if no exception)
});
Once the callback is filed or the promise fulfilled, the following methods can be called on the image:
/* Resize */
image.contain( w, h[, mode] ); // scale the image to the given width and height, some parts of the image may be letter boxed
image.cover( w, h[, mode] ); // scale the image to the given width and height, some parts of the image may be clipped
image.resize( w, h[, mode] ); // resize the image. Jimp.AUTO can be passed as one of the values.
image.scale( f[, mode] ); // scale the image by the factor f
image.scaleToFit( w, h[, mode] ); // scale the image to the largest size that fits inside the given width and height
// An optional resize mode can be passed with all resize methods.
/* Crop */
image.autocrop(); // automatically crop same-color borders from image (if any)
image.crop( x, y, w, h ); // crop to the given region
/* Composing */
image.blit( src, x, y[, srcx, srcy, srcw, srch] );
// blit the image with another Jimp image at x, y, optionally cropped.
image.composite( src, x, y ); // composites another Jimp image over this iamge at x, y
image.mask( src, x, y ); // masks the image with another Jimp image at x, y using average pixel value image.rotate) and when writing formats that don't support alpha channels
/* Flip and rotate */
image.flip( horz, vert ); // flip the image horizontally or vertically
image.mirror( horz, vert ); // an alias for flip
image.rotate( deg[, mode] ); // rotate the image clockwise by a number of degrees. Optionally, a resize mode can be passed. If `false` is passed as the second parameter, the image width and height will not be resized.
// JPEG images with EXIF orientation data will be automatically re-orientated as appropriate.
/* Colour */
image.brightness( val ); // adjust the brighness by a value -1 to +1
image.contrast( val ); // adjust the contrast by a value -1 to +1
image.dither565(); // ordered dithering of the image and reduce color space to 16-bits (RGB565)
image.greyscale(); // remove colour from the image
image.invert(); // invert the image colours
image.normalize(); // normalize the channels in an image
/* Alpha channel */
image.fade( f ); // an alternative to opacity, fades the image by a factor 0 - 1. 0 will haven no effect. 1 will turn the image
image.opacity( f ); // multiply the alpha channel by each pixel by the factor f, 0 - 1
image.opaque(); // set the alpha channel on every pixel to fully opaque
image.background( hex ); // set the default new pixel colour (e.g. 0xFFFFFFFF or 0x00000000) for by some operations (e.g. image.contain and
/* Blurs */
image.gaussian( r ); // Gaussian blur the image by r pixels (VERY slow)
image.blur( r ); // fast blur the image by r pixels
/* Effects */
image.posterize( n ); // apply a posterization effect with n level
image.sepia(); // apply a sepia wash to the image
Some of these methods are irreversable, so it can be useful to perform them on a clone of the original image:
image.clone(); // returns a clone of the image
(Contributions of more methods are welcome!)
The default rezing algorithm uses a bilinear method as follows:
image.resize(250, 250); // resize the image to 250 x 250
image.resize(Jimp.AUTO, 250); // resize the height to 250 and scale the width accordingly
image.resize(250, Jimp.AUTO); // resize the width to 250 and scale the height accordingly
Optionally, the following constants can be passed to choose a particular resizing algorithm:
Jimp.RESIZE_NEAREST_NEIGHBOR;
Jimp.RESIZE_BILINEAR;
Jimp.RESIZE_BICUBIC;
Jimp.RESIZE_HERMITE;
Jimp.RESIZE_BEZIER;
For example:
image.resize(250, 250, Jimp.RESIZE_BEZIER);
Jimp supports basic typography using BMFont format (.fnt) bitmap fonts:
Jimp.loadFont( path ).then(function (font) { // load font from .fnt file
image.print(font, x, y, str); // print a message on an image
});
Jimp.loadFont( path, cb ); // using a callback pattern
BMFont fonts are raster based and fixed in size and colour. Jimp comes with a set of fonts that can be used on images:
Jimp.FONT_SANS_8_BLACK; // Open Sans, 8px, black
Jimp.FONT_SANS_16_BLACK; // Open Sans, 16px, black
Jimp.FONT_SANS_32_BLACK; // Open Sans, 32px, black
Jimp.FONT_SANS_64_BLACK; // Open Sans, 64px, black
Jimp.FONT_SANS_128_BLACK; // Open Sans, 128px, black
Jimp.FONT_SANS_8_WHITE; // Open Sans, 8px, white
Jimp.FONT_SANS_16_WHITE; // Open Sans, 16px, white
Jimp.FONT_SANS_32_WHITE; // Open Sans, 32px, white
Jimp.FONT_SANS_64_WHITE; // Open Sans, 64px, white
Jimp.FONT_SANS_128_WHITE; // Open Sans, 128px, white
These can be used as follows:
Jimp.loadFont(Jimp.FONT_SANS_32_BLACK).then(function (font) {
image.print(font, 10, 10, "Hello world!");
});
Online tools are also available to convert TTF fonts to BMFont format (e.g. Littera).
The image can be written to disk in PNG, JPEG or BMP format (determined by the file extension) using:
image.write( path, cb ); // Node-style callback will be fired when write is successful
A PNG, JPEG or BMP binary Buffer of an image (e.g. for storage in a database) can to got using:
image.getBuffer( mime, cb ); // Node-style callback wil be fired with result
For convenience, supported MIME types are available as static properties:
Jimp.MIME_PNG; // "image/png"
Jimp.MIME_JPEG; // "image/jpeg"
Jimp.MIME_BMP; // "image/bmp"
The quality of JPEGs can be set with:
image.quality( n ); // set the quality of saved JPEG, 0 - 100
The format of PNGs can be set with:
image.rgba( bool ); // set whether PNGs are saved as RGBA (true, default) or RGB (false)
image.filterType( number ); // set the filter type for the saved PNG
image.deflateLevel( number ); // set the deflate level for the saved PNG
For convenience, supported filter types are available as static properties:
Jimp.PNG_FILTER_AUTO; // -1
Jimp.PNG_FILTER_NONE; // 0
Jimp.PNG_FILTER_SUB; // 1
Jimp.PNG_FILTER_UP; // 2
Jimp.PNG_FILTER_AVERAGE; // 3
Jimp.PNG_FILTER_PAETH; // 4
Jimp supports advanced colour manipulation using a single method as follows:
image.color([
{ apply: 'hue', params: [ -90 ] },
{ apply: 'lighten', params: [ 50 ] },
{ apply: 'xor', params: [ '#06D' ] }
]);
The method supports the following modifiers:
Modifier | Description |
---|---|
lighten {amount} | Lighten the color a given amount, from 0 to 100. Providing 100 will always return white (works through TinyColor) |
brighten {amount} | Brighten the color a given amount, from 0 to 100 (works through TinyColor) |
darken {amount} | Darken the color a given amount, from 0 to 100. Providing 100 will always return black (works through TinyColor) |
desaturate {amount} | Desaturate the color a given amount, from 0 to 100. Providing 100 will is the same as calling greyscale (works through TinyColor) |
saturate {amount} | Saturate the color a given amount, from 0 to 100 (works through TinyColor) |
greyscale {amount} | Completely desaturates a color into greyscale (works through TinyColor) |
spin {degree} | Spin the hue a given amount, from -360 to 360. Calling with 0, 360, or -360 will do nothing - since it sets the hue back to what it was before. (works through TinyColor) |
hue {degree} | Alias for spin |
mix {color, amount} | Mixes colors by their RGB component values. Amount is opacity of overlaying color |
tint {amount} | Same as applying mix with white color |
shade {amount} | Same as applying mix with black color |
xor {color} | Treats the two colors as bitfields and applies an XOR operation to the red, green, and blue components |
red {amount} | Modify Red component by a given amount |
green {amount} | Modify Green component by a given amount |
blue {amount} | Modify Blue component by a given amount |
Jimp enables low-level manipulation of images in memory through the bitmap property of each Jimp object:
image.bitmap.data; // a Buffer of the raw bitmap data
image.bitmap.width; // the width of the image
image.bitmap.height // the height of the image
This data can be manipulated directly but remember: garbage in, garbage out.
A helper method is available to scan a region of the bitmap:
image.scan(x, y, w, h, cb); // scan a given region of the bitmap and call cb on every pixel
Example usage:
image.scan(0, 0, image.bitmap.width, image.bitmap.height, function (x, y, idx) {
// x, y is the position of this pixel on the image
// idx is the position start position of this rgba tuple in the bitmap Buffer
// this is the image
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 ];
// rgba values run from 0 - 255
// e.g. this.bitmap.data[idx] = 0; // removes red from this pixel
});
Alternatively, you can manipulate individual pixels using the following these functions:
image.getPixelColor(x, y); // returns the colour of that pixel e.g. 0xFFFFFFFF
image.setPixelColor(hex, x, y); // sets the colour of that pixel
Two static helper functions exist to convert RGBA values into single integer (hex) values:
Jimp.rgbaToInt(r, g, b, a); // e.g. converts 255, 255, 255, 255 to 0xFFFFFFFF
Jimp.intToRGBA(hex); // e.g. converts 0xFFFFFFFF to {r: 255, g: 255, b: 255, a:255}
If you want to begin with an empty Jimp image, you can call the Jimp constructor passing the width and height of the image to create and (optionally) a Node-style callback:
var image = new Jimp(256, 256, function (err, image) {
// this image is 256 x 256, every pixel is set to 0x00000000
});
You can optionally set the pixel colour as follows:
var image = new Jimp(256, 256, 0xFF0000FF, function (err, image) {
// this image is 256 x 256, every pixel is set to 0xFF0000FF
});
To generate a perceptual hash of a Jimp image, based on the pHash algorithm, use:
image.hash(); // aHgG4GgoFjA
By default the hash is returned as base 64. The hash can be returned at another base by passing a number from 2 to 64 to the method:
image.hash(2); // 1010101011010000101010000100101010010000011001001001010011100100
There are 18,446,744,073,709,551,615 unique hashes. The hamming distance between the binary representation of these hashes can be used to find similar-looking images.
To calculate the hamming distance between two Jimp images based on their perceptual hash use:
Jimp.distance(image1, image2); // returns a number 0-1, where 0 means the two images are perceived to be identical
Jimp also allows the diffing of two Jimp images using PixelMatch as follows:
var diff = Jimp.diff(image1, image2, threshold); // threshold ranges 0-1 (default: 0.1)
diff.image; // a Jimp image showing differences
diff.percent; // the proportion of different pixels (0-1), where 0 means the images are pixel identical
Using a mix of hamming 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.
var distance = Jimp.distance(png, jpeg); // perceived distance
var diff = Jimp.diff(png, jpeg); // pixel difference
if (distance < 0.15 || diff.percent < 0.15) {
// images match
} else {
// not a match
}
Most instance methods can be chained together, for example as follows:
Jimp.read("lenna.png", function (err, image) {
this.greyscale().scale(0.5).write("lena-half-bw.png");
});
Alternatively, methods can be passed Node-style callbacks:
Jimp.read("lenna.png", function (err, image) {
image.greyscale(function(err, image) {
image.scale(0.5, function (err, image) {
image.write("lena-half-bw.png");
});
});
});
The Node-style callback pattern allows Jimp to be used with frameworks that expect or build on the Node-style callback pattern.
Jimp is licensed under the MIT license. Open Sans is licensed under the Apache license.