Image processing

Inka Krischke,

EMVA Young Professional Award 2017 presented

This year's EMVA Young Professional Award goes to Boaz Arad. He is being honored for his work "Sparse Recovery of Hyperspectral Signal from Natural RGB Images".

The winner of the EMVA Young Professional Award was announced on June 24 at the 15th EMVA Business Conference in Prague: Boaz Arad (right) with EMVA President Jochen Hermann.

© EMVA

The award-winning work describes the restoration of 31-channel hyperspectral information from 3-channel RGB images of natural scenes. Despite the extreme reduction in dimensionality of 31:3 when projecting hyperspectral information to RGB, the method presented allows the hyperspectral data to be recovered from the RGB data with an accuracy of 90 to 95 % for a large number of scenes.

Hyperspectral (HS) imaging systems can capture the complete spectral signature reflected from each point in a scene. This produces a much more detailed spectral image than is possible using RGB cameras. Until recently, scientific and industrial applications that rely on hyperspectral image information have relied almost exclusively on the familiar technology of hyperspectral scanning systems. However, these systems are expensive, bulky and often take up to a minute to capture a complete scene. Replacing these systems with inexpensive, compact and fast RGB cameras would open up interesting new possibilities in many areas of application.

Arad, 32, received his Bachelor of Science (B.Sc.) in Computer Science from Ben-Gurion University of the Negev (BGU) in 2012. On the accelerated path to a PhD at BGU's Interdisciplinary Computational Vision Laboratory (ICVL), he received his Master's degree (M.Sc.) in 2014 and hopes to complete his PhD in 2018. In addition to his studies, Boaz is currently the CTO of the startup company "HC-Vision".

The EMVA Young Professional Award is an annual prize that honors the exceptional and innovative work of students or young professionals in machine vision. The aim of the European Machine Vision Association (EMVA) is to further promote innovation in machine vision, to contribute to education in the machine vision discipline and to build a bridge between research and industry.

Advertisement
  • Xing Icon
  • LinkedIn Icon
Advertisement
Advertisement

You might also be interested in

Advertisement
Advertisement
Advertisement
Advertisement
Advertisement
Advertisement
Advertisement

EMVA

An open embedded camera API

Standards simplify the introduction and integration of a technology, they reduce the development costs for providers and the learning costs for users. Current efforts are focused on an embedded vision interface standard.

read more...
Subscribe to our newsletter
Advertisement
Back to home