13/6/16

You are invited to attend a lecture

Snapshot Spectral Imaging Using a Digital Camera with an Optical Diffuser and Compressed Sensing Algorithms

By

Jonathan Hauser

M.Sc. student of

Professor Michael Golub and Professor Menachem Nathan

Physical Electronics Department, Tel Aviv University

Spectral Imaging (SI) systems are designed to capture the spatial and spectral information of an object or a scene, which is referred to generally as "data cube" or "spectral cube". There is a strong link between the spectrum, physical state and components of matter. Accordingly, SI systems are practical in various fields such as medicine, agriculture, food inspection, military and homeland security, as well as in various academic research fields related to physics, chemistry, biology, geography, engineering and more.

Many of the SI systems that exist in the industry are based on scanning techniques, are quite complicated and require long spectral cube acquisition time. Snapshot Spectral Imaging (SSI) systems aim to capture the spectral cube with a single snapshot, thus eliminating the need of scanning the spatial and/or spectral space of the scene. Known SSI systems are generally complex and expensive in terms of their electrical, optical and mechanical implementation.

The aim of this study is to realize a working prototype of a compact SSI system based on a standard monochromatic digital camera, a single thin optical diffuser and a computational unit. The diffuser is a transparent phase element, which is designed to fulfill Compressed Sensing (CS) mathematical conditions that enable the spectral cube reconstruction from a single "shot".

The achieved results show, for the first time, feasibility proof for successful restoration of a full spectral cube, from a snapshot taken with a monochromatic image sensor in a relatively simple CS-SSI system.

Monday, June 13, 2016, at 09:00

Room 011, Kitot Building