jay-peg
v1.1.1
Published
Performant JPEG decoder
Downloads
1,801,029
Readme
jay-peg
Overview
A blazing-fast and compact JavaScript library dedicated to efficiently decoding JPEG images.
Installation
Using npm:
npm install jay-peg
Using yarn:
yarn add jay-peg
Usage
Use the decoder
providing a JPEG data buffer as input.
import JPEG from 'jay-peg';
const jpegBuffer = /* your JPEG buffer here */;
const imageMarkers = JPEG.decoder(jpegBuffer);
console.log(imageMarkers);
Example Output
The output consists of a structured array of image markers:
[
{
type: 65496,
name: "SOI",
},
{
type: 65505,
name: "EXIF",
length: 16382,
identifier: "Exif\x00\x00",
entries: [Object],
},
{
type: 65499,
name: "DAC",
length: 132,
tables: [[Object], [Object]],
},
// ... and so forth
{
type: 65497,
name: "EOI",
},
];
API
decoder(buffer: Buffer | Uint8Array): Array<ImageMarker>
The decoder
function accepts a JPEG buffer as its sole argument and returns an array of image markers.
Parameters
buffer
: A Buffer or Uint8Array containing the JPEG image data.
Returns
An array of objects representing various markers found in the JPEG image.
ImageMarker
Each ImageMarker
object in the output array adheres to the following structure:
type
(Number): The marker type.name
(String): The marker name.length
(Number): The length of the marker data.- Additional properties specific to certain marker types.
Performance
Performance is a key focus of jay-peg
. 4 sizes of images were benchmarked:
small
: 300 × 150, 8KB imagemedium
: 800 × 600, 70KB imagelarge
: 1920 × 1080, 332KB imagehuge
: 2448×3264, 2.2MB image
For each of these, the decoding speed was measured as follows:
Benchmarked: small: x 13,393 ops/sec ±4.77% (96 runs sampled)
Benchmarked: medium: x 12,894 ops/sec ±0.10% (99 runs sampled)
Benchmarked: large: x 9,241 ops/sec ±0.25% (99 runs sampled)
Benchmarked: huge: x 2,672 ops/sec ±0.12% (100 runs sampled)
Measures were taken in an MacBook Air 2024, Apple M3 w/16GB of RAM.
License
jay-peg
is released under the MIT License