An image processing library written entirely in JavaScript (i.e. zero external or native dependencies).
Jimp is an image processing library for Node.js that allows for image manipulation and conversion in a variety of ways. It is written entirely in JavaScript and does not require any native dependencies, making it easy to install and use across different platforms.
Image Manipulation
This code sample demonstrates how to read an image, resize it, change its quality, convert it to greyscale, and then save the edited image.
const Jimp = require('jimp');
// Read the image, resize it and change its quality
Jimp.read('path/to/image.jpg')
.then(image => {
return image
.resize(256, 256) // resize
.quality(60) // set JPEG quality
.greyscale() // set greyscale
.write('path/to/edited-image.jpg'); // save
})
.catch(err => {
console.error(err);
});Color Manipulation
This code sample shows how to read an image and adjust its brightness before saving it.
const Jimp = require('jimp');
// Read the image and adjust brightness
Jimp.read('path/to/image.jpg')
.then(image => {
return image
.brightness(0.5) // increase brightness by 50%
.write('path/to/brighter-image.jpg'); // save
})
.catch(err => {
console.error(err);
});Image Conversion
This code sample illustrates how to read an image in one format (JPG) and convert it to another format (PNG) before saving.
const Jimp = require('jimp');
// Read the image and convert it to PNG
Jimp.read('path/to/image.jpg')
.then(image => {
return image
.write('path/to/image.png'); // convert and save as PNG
})
.catch(err => {
console.error(err);
});Sharp is a high-performance Node.js image processing library that uses the libvips library. It is known for its speed and efficiency, especially for large images and batch processing. Compared to Jimp, Sharp is faster but requires native dependencies.
GraphicsMagick for Node.js (gm) is a wrapper for the GraphicsMagick image processing utility. It provides a wide range of image manipulation capabilities and is suitable for complex tasks. Unlike Jimp, gm relies on the GraphicsMagick or ImageMagick native libraries.
Image-js is a JavaScript library for image manipulation on Node.js and the browser. It provides similar functionalities to Jimp, with a focus on scientific and technical image processing. It is also written in pure JavaScript with no native dependencies.
Can you help maintain this project?
Collaborators wanted: https://github.com/oliver-moran/jimp/issues/219
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);
});
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("http://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[, alignBits || mode, mode] ); // scale the image to the given width and height, some parts of the image may be letter boxed
image.cover( w, h[, alignBits || mode, 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([tolerance, frames]); // automatically crop same-color borders from image (if any), frames must be a Boolean
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 image at x, y
image.mask( src, x, y ); // masks the image with another Jimp image at x, y using average pixel value
image.convolute( kernel ); // applies a convolution kernel matrix to the image or a region
/* 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.
image.exifRotate(); // 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
image.pixelate( size[, x, y, w, h ]); // apply a pixelation effect to the image or a region
/* 3D */
image.displace( map, offset ); // displaces the image pixels based on the provided displacement map. Useful for making stereoscopic 3D images.
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 resizing 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);
The following constants can be passed to image.cover and image.contain methods:
Jimp.HORIZONTAL_ALIGN_LEFT;
Jimp.HORIZONTAL_ALIGN_CENTER;
Jimp.HORIZONTAL_ALIGN_RIGHT;
Jimp.VERTICAL_ALIGN_TOP;
Jimp.VERTICAL_ALIGN_MIDDLE;
Jimp.VERTICAL_ALIGN_BOTTOM;
For example:
image.contain(250, 250, Jimp.HORIZONTAL_ALIGN_LEFT | Jimp.VERTICAL_ALIGN_TOP);
Default align modes are :
Jimp.HORIZONTAL_ALIGN_CENTER | Jimp.VERTICAL_ALIGN_MIDDLE;
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
image.print(font, x, y, str, width); // print a message on an image with text wrapped at width
});
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
The original extension for an image (or "png") can accessed as using image.getExtension(). The following will save an image using its original format:
var file = "new_name." + image.getExtension();
image.write(file)
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 will 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"
If Jimp.AUTO is passed as the MIME type then the original MIME type for the image (or "image/png") will be used. Alernatively, image.getMIME() will return the original MIME type of the image (or "image/png").
A Base64 data URI can be generated in the same way as a Buffer, using:
image.getBase64( mime, cb ); // Node-style callback will be fired with result
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
Jimp.deflateStrategy( number ); // set the deflate for the saved PNG (0-3)
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 |
Sum neighbor pixels weighted by the kernel matrix. You can find a nice explanation with examples at GIMP's Convolution Matrix plugin
Implement emboss effect:
image.convolution([
[-2,-1, 0],
[-1, 1, 1],
[ 0, 1, 2]
])
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, f); // scan a given region of the bitmap and call the function f 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
});
A helper to locate a particular pixel within the raw bitmap buffer:
image.getPixelIndex(x, y); // returns the index within image.bitmap.data
One of the following may be optionally passed as a third parameter to indicate a strategy for x, y positions that are outside of boundaries of the image:
Jimp.EDGE_EXTEND = 1;
Jimp.EDGE_WRAP = 2;
Jimp.EDGE_CROP = 3;
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.
FAQs
An image processing library written entirely in JavaScript.
The npm package jimp receives a total of 1,208,769 weekly downloads. As such, jimp popularity was classified as popular.
We found that jimp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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