Title

Local Imaging From Global Measurements Applied To Selective-Spectral Imaging

Keywords

Compressed sensing; Deconvolution; Image restoration; Minimum mean square error; Multiplexed imaging; Selective spectral imaging; Wiener filter

Abstract

In this paper we describe the algorithm for local image reconstructions from global measurements on the Focal Plane Array (FPA). The global measurements may come from a multiplexed imaging and /or convolution-based sampling model. The algorithm consists of scanning a rectangular segment on the FPA data and reconstructing the image on that segment using a modified Wiener Filter by adapting the measurements on the data via a linear operator. This method is essential in the reconstruction of large format images from large data samples. In particular, in this paper the method is applied to multiplexed, multispectral imaging from a single measurement on the FPA. © 2014 SPIE.

Publication Date

1-1-2014

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

9088

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.2049314

Socpus ID

84906269470 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84906269470

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