Paper
4 May 2010 Compressive coded apertures for high-resolution imaging
Author Affiliations +
Abstract
Traditionally, optical sensors have been designed to collect the most directly interpretable and intuitive measurements possible. However, recent advances in the fields of image reconstruction, inverse problems, and compressed sensing indicate that substantial performance gains may be possible in many contexts via computational methods. In particular, by designing optical sensors to deliberately collect "incoherent" measurements of a scene, we can use sophisticated computational methods to infer more information about critical scene structure and content. In this paper, we explore the potential of physically realizable systems for acquiring such measurements. Specifically, we describe how given a fixed size focal plane array, compressive measurements using coded apertures combined with sophisticated optimization algorithms can significantly increase image quality and resolution.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Roummel F. Marcia, Zachary T. Harmany, and Rebecca M. Willett "Compressive coded apertures for high-resolution imaging", Proc. SPIE 7723, Optics, Photonics, and Digital Technologies for Multimedia Applications, 772304 (4 May 2010); https://doi.org/10.1117/12.849487
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CITATIONS
Cited by 13 scholarly publications.
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KEYWORDS
Coded apertures

Reconstruction algorithms

Coded aperture imaging

Matrices

Compressed sensing

Image resolution

Wavelets

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