jay-peg
v1.1.0
Published
Performant JPEG decoder
Downloads
1,722,328
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``. In a benchmark test using a 2448×3264, 2.2MB JPEG image, the decoding speed was measured as follows:
Benchmarked: small: x 11,597 ops/sec ±0.60% (95 runs sampled)
Benchmarked: medium: x 11,219 ops/sec ±0.20% (98 runs sampled)
Benchmarked: large: x 7,744 ops/sec ±0.27% (100 runs sampled)
Benchmarked: huge: x 2,019 ops/sec ±0.36% (96 runs sampled)
It's worth noting that the performance is significantly improved on smaller and simpler images.
License
jay-peg
is released under the MIT License