2015
DOI: 10.1038/srep14300
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High-resolution adaptive imaging with a single photodiode

Abstract: During the past few years, the emergence of spatial light modulators operating at the tens of kHz has enabled new imaging modalities based on single-pixel photodetectors. The nature of single-pixel imaging enforces a reciprocal relationship between frame rate and image size. Compressive imaging methods allow images to be reconstructed from a number of projections that is only a fraction of the number of pixels. In microscopy, single-pixel imaging is capable of producing images with a moderate size of 128 × 128… Show more

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Cited by 59 publications
(33 citation statements)
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“…CS is an amazing signal processing theory where a signal can be recovered with a much less number of non-adaptive linear measurements than that required by Shannon/Nyquist sampling theory 17 . In this respect, CS-OCT can provide a dramatic reduction in the number of sampling measurements with less loss of reconstruction information [18][19][20] . Various 3D CS-OCT methods have been reported for the high-speed and high-resolution OCT applications 14,15,21 , in which either A-scan or B-scan is CS sampled without considering the sparsity or correlation with other scan directions and 3D OCT images was reconstructed by these CS sampled scan data on CS reconstruction theory.…”
Section: Introductionmentioning
confidence: 99%
“…CS is an amazing signal processing theory where a signal can be recovered with a much less number of non-adaptive linear measurements than that required by Shannon/Nyquist sampling theory 17 . In this respect, CS-OCT can provide a dramatic reduction in the number of sampling measurements with less loss of reconstruction information [18][19][20] . Various 3D CS-OCT methods have been reported for the high-speed and high-resolution OCT applications 14,15,21 , in which either A-scan or B-scan is CS sampled without considering the sparsity or correlation with other scan directions and 3D OCT images was reconstructed by these CS sampled scan data on CS reconstruction theory.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, CS algorithms are known to be time consuming. For that reason some recent approaches aiming to get high resolution imaging at high frame rates focus on reducing this post-processing time by using different alternatives to CS based on adaptive sensing [23,24].…”
Section: Single-pixel Imaging and Compressive Sensingmentioning
confidence: 99%
“…To raise the imaging speed and quality, researchers have made great efforts to suppress sensor noise45 or optimize the reconstruction algorithm6789. Differently, other researchers utilize the information from spatial structure of the target scene to project scene adaptive patterns10.…”
mentioning
confidence: 99%