Skip to main content

Purdue creates algorithm to extract hyperspectral data from conventional photography

Researcher Young Kim

Purdue University researcher Young Kim and his team have combined computer vision, colour science and optical spectroscopy to create an algorithm that recovers detailed spectral information from conventional photographs (Image: Purdue University / Vincent Walter)

A patent-pending algorithm capable of recovering hyperspectral information from standard images has been developed by a team at Purdue University

Register for FREE to keep reading

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with:

  • Expert insights on vision, robotics, AI & embedded tech
  • Newsletters and features covering the full imaging landscape
  • Visionaries series: leadership strategies in imaging
  • Free panels on smart manufacturing & autonomy
  • White Papers & updates for smarter integration

Sign up now

Already a member? Log in here

Your data is protected under our privacy policy.

Imaging and Machine Vision Europe covers

Media Partners