Boostletjs: Image processing plugins for the web via JavaScript injection
<|reference_start|>Boostletjs: Image processing plugins for the web via JavaScript injection: 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.<|reference_end|>
@article{gaibor2024boostlet.js:,
    title={Boostlet.js: Image processing plugins for the web via JavaScript
  injection},
    author={Edward Gaibor, Shruti Varade, Rohini Deshmukh, Tim Meyer, Mahsa
  Geshvadi, SangHyuk Kim, Vidhya Sree Narayanappa, Daniel Haehn},
    journal={arXiv preprint arXiv:2405.07868},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.07868},
    primaryClass={cs.CV}
}