Image enhancement and classification
Title: Image enhancement and classification
SNIC Project: SNIC 2017/5-56
Project Type: SNIC Small Compute
Principal Investigator: Josef Bigun <josef.bigun@hh.se>
Affiliation: Högskolan i Halmstad
Duration: 2017-10-30 – 2020-11-01
Classification: 20205
Keywords:

Abstract

The primary goal of the project is to create compact measurement sets useful to multiple applications demanding automatic image enhancement and/or classification. Our test bed is biometric identification. It can be mono-modal, e.g. face images, lip-movements, fingerprints, and speech, or multi-modal e.g. any combination of simple modalities.