Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging-Reference-Cited by-同舟云学术

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Efficient adaptation of complex-valued noiselet sensing matrices for compressed single-pixel imaging

Published:2016-06-24 Issue:19 Volume:55 Page:5141
ISSN:0003-6935
Container-title:Applied Optics
language:en
Short-container-title:Appl. Opt.

Author:

Pastuszczak Anna,Szczygieł Bartłomiej,Mikołajczyk Michał,Kotyński Rafał

Funder

European Union Seventh Framework Programme

Narodowe Centrum Nauki (National Science Centre, Poland)

Publisher

The Optical Society

Reference35 articles.

1. An Introduction To Compressive Sampling

2. Computational ghost imaging

3. Ghost imaging with a single detector

4. Normalized ghost imaging

5. Single-pixel imaging via compressive sampling

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4. Phase and amplitude reconstruction in single-pixel transmission microscopy: a comparison of Hadamard, cosine, and noiselet bases;Applied Optics;2021-08-05

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