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Sushik Avagyan

Mobile multispectral imaging

Doctoral Student

Hyperspectral imaging has several useful applications and it has been successfully used in industry. Nowadays it is starting to be feasible to have small resolution spectral sensors in mobile devices. Therefore, technologies that can utilize and expand that information to higher resolution are critical in order to enable all the applications also in mobile devices.

This project aims to develop state-of-the-art algorithms to improve various computer vision tasks where hyperspectral data is used.

Academic supervisor
Karen Egiazarian (Eguiazarian)
Vladimir Katkovnik
Industry partner
Samu Koskine

Huawei

Hyperspectral imaging has several useful applications and it has been successfully used in industry. Nowadays it is starting to be feasible to have small resolution spectral sensors in mobile devices. Therefore, technologies that can utilize and expand that information to higher resolution are critical in order to enable all the applications also in mobile devices.

This project aims to develop state-of-the-art algorithms to improve various computer vision tasks where hyperspectral data is used.

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