Paper
15 October 2012 Compressive sampling methods for superresolution imaging
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Abstract
We investigate superresolution imaging using negative index metamaterials. Measurement of subwavelength scale features in the image domain is tedious and compressive sampling techniques are considered to alleviate this problem. A single detector (c.f. a single pixel camera geometry) is considered from which a high resolution image can be computed, which makes use of structured illumination for coding.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi-Chen Chuang, Richard Dudley, and Michael A. Fiddy "Compressive sampling methods for superresolution imaging", Proc. SPIE 8500, Image Reconstruction from Incomplete Data VII, 850005 (15 October 2012); https://doi.org/10.1117/12.930837
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Cited by 1 scholarly publication.
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KEYWORDS
Metamaterials

Image resolution

Scattering

Sensors

Image compression

Imaging systems

Spatial frequencies

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