
The EMVA Young Professional Award 2017 goes to Boaz Arad for his work “Sparse Recovery of Hyperspectral Signal from Natural RGB Images.” Arad, age 32, obtained his computer science BSc (cum laude) from Ben-Gurion University of the Negev (BGU) in 2012. Continuing towards a fast-tracked PhD at the BGU Interdisciplinary Computational Vision Laboratory (ICVL), he received an MSc in 2014 and expects to complete his PhD by 2018. In addition to his studies, Boaz currently serves as CTO of the startup company HC-Vision.
About Arad’s work, “Sparse Recovery of Hyperspectral Signal from Natural RGB Images”
Hyperspectral (HS) imaging systems are capable of collecting the complete spectral signature reflected from each point in a given scene — producing a much more spectrally detailed image than that provided by RGB cameras. To this date, scientific and industrial applications that require hyperspectral information have relied almost exclusively on traditional scanning hyperspectral imaging systems. These systems are expensive, bulky and often require close to one minute acquiring an entire scene. Replacing these systems with low-cost, compact and rapid RGB cameras could provide exciting opportunities in many fields.