• Lipworth, Guy
• Mrozack, Alex
• Smith, David
• Driscoll, Tom
• Reynolds, Matthew
• Hunt, John
• Brady, David

Abstract

<jats:title>Compressed Sampling</jats:title><jats:p>It is often said that a picture is worth a thousand words. But images often contain a lot of redundant information—effectively creating huge data files of meaningless information. While algorithms can compress the size of a file without loss of information, such processing is done after the picture has been taken.<jats:bold>Hunt<jats:italic>et al.</jats:italic></jats:bold>(p.<jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" issue="6117" page="310" related-article-type="in-this-issue" vol="339" xlink:href="10.1126/science.1230054">310</jats:related-article>) used a metamaterial sensor to compress the sampled scene directly, obviating the need for postprocessing. Tuning the response of the metamaterial allowed imaging of a scene with a 40:1 compression ratio, which may mean that finding that needle in a haystack may be much easier using a metamaterial camera.</jats:p>

Topics

• impedance spectroscopy
• metamaterial