Boostlet.js: Image processing plugins for the web via JavaScript injection

TL;DR

Boostlet.js is a JavaScript framework that enables easy integration of advanced image processing and visualization plugins into existing websites with minimal effort, leveraging client-side processing and modular architecture.

Contribution

It introduces an open-source, browser-based plugin system that simplifies adding complex image processing functionalities to websites without server-side modifications.

Findings

Provides a modular, client-side architecture for image processing

Enables integration via browser bookmark injection

Supports various image processing tasks like filtering and segmentation

Abstract

Can web-based image processing and visualization tools easily integrate into existing websites without significant time and effort? Our Boostlet.js library addresses this challenge by providing an open-source, JavaScript-based web framework to enable additional image processing functionalities. Boostlet examples include kernel filtering, image captioning, data visualization, segmentation, and web-optimized machine-learning models. To achieve this, Boostlet.js uses a browser bookmark to inject a user-friendly plugin selection tool called PowerBoost into any host website. Boostlet also provides on-site access to a standard API independent of any visualization framework for pixel data and scene manipulation. Web-based Boostlets provide a modular architecture and client-side processing capabilities to apply advanced image-processing techniques using consumer-level hardware. The code is open-source and available.