@inproceedings{96986955a8044417acdb4efe0452a55a,
title = "Real-time compressed imaging of scattering volumes",
abstract = "We propose a method and a prototype imaging system for real-time reconstruction of volumetric piecewise-smooth scattering media. The volume is illuminated by a sequence of structured binary patterns emitted from a fan beam projector, and the scattered light is collected by a two-dimensional sensor, thus creating an under-complete set of compressed measurements. We show a fixed-complexity and latency reconstruction algorithm capable of estimating the scattering coefficients in real-time. We also show a simple greedy algorithm for learning the optimal illumination patterns. Our results demonstrate faithful reconstruction from highly compressed measurements. Furthermore, a method for compressed registration of the measured volume to a known template is presented, showing excellent alignment with just a single projection. Though our prototype system operates in visible light, the presented methodology is suitable for fast x-ray scattering imaging, in particular in real-time vascular medical imaging.",
keywords = "compressive sensing, scattering tomography, sparse coding, structured light, volumetric reconstruction",
author = "Ohad Menashe and Alexander Bronstein",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7025264",
language = "الإنجليزيّة",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
pages = "1322--1326",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
}