@inproceedings{f5cceb5b150849098bafb92ac8a459fb,
title = "Information optimal scalable compressive imager demonstrator",
abstract = "We present a compressive imager demonstrator based on a scalable, parallel architecture. It primarily utilizes information-optimal projections and a Piece-wise Linear Minimum Mean Square Error Estimator (PLE-MMSE) combined with a block-based statistical model of natural images. Such system delivers high-resolution images from low resolution sensor with near real-time snapshots. This testbed provides a highly programmable compressive imager that allows testing of a variety of projection designs for different tasks (e.g. random binary, PCA) and also enables adaptive or dynamic designs.",
keywords = "Compressed Imaging, Mutual Information, PLE-MMSE",
author = "Ronan Kerviche and Nan Zhu and Amit Ashok",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7025439",
language = "English (US)",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2177--2179",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
}