  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.
