Multi image super resolution using compressed sensing

T. Edeler; K. Ohliger; S. Hussmann; A. Mertins

doi:10.1109/ICASSP.2011.5947083

Multi image super resolution using compressed sensing

T. Edeler, K. Ohliger, S. Hussmann, A. Mertins

Institute of Signal Processing

Abstract

In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to a multi-detector device with the benefit of reducing measurement time, while still providing resolution enhancement and deblurring. We provide a scalable model which allows the trade off between system complexity (number of detectors) and time (number of measurements).

Original language	English
Title of host publication	2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Number of pages	4
Publisher	IEEE
Publication date	01.05.2011
Pages	2868-2871
Article number	5947083
ISBN (Print)	978-1-4577-0538-0
ISBN (Electronic)	978-1-4577-0539-7
DOIs	https://doi.org/10.1109/ICASSP.2011.5947083
Publication status	Published - 01.05.2011
Event	36th IEEE International Conference on Acoustics, Speech, and Signal Processing - Prague, Czech Republic Duration: 22.05.2011 → 27.05.2011 Conference number: 85875

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10.1109/ICASSP.2011.5947083

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title = "Multi image super resolution using compressed sensing",

abstract = "In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to a multi-detector device with the benefit of reducing measurement time, while still providing resolution enhancement and deblurring. We provide a scalable model which allows the trade off between system complexity (number of detectors) and time (number of measurements).",

author = "T. Edeler and K. Ohliger and S. Hussmann and A. Mertins",

year = "2011",

month = may,

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doi = "10.1109/ICASSP.2011.5947083",

language = "English",

isbn = "978-1-4577-0538-0",

series = " IEEE International Conference on Acoustics, Speech and Signal Processing ",

publisher = "IEEE",

pages = "2868--2871",

booktitle = "2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",

}

Edeler, T, Ohliger, K, Hussmann, S & Mertins, A 2011, Multi image super resolution using compressed sensing. in 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)., 5947083, IEEE International Conference on Acoustics, Speech and Signal Processing , IEEE, pp. 2868-2871, 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, Prague, Czech Republic, 22.05.11. https://doi.org/10.1109/ICASSP.2011.5947083

Multi image super resolution using compressed sensing. / Edeler, T.; Ohliger, K.; Hussmann, S. et al.
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. p. 2868-2871 5947083 ( IEEE International Conference on Acoustics, Speech and Signal Processing ).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - Multi image super resolution using compressed sensing

AU - Edeler, T.

AU - Ohliger, K.

AU - Hussmann, S.

AU - Mertins, A.

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PY - 2011/5/1

Y1 - 2011/5/1

N2 - In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to a multi-detector device with the benefit of reducing measurement time, while still providing resolution enhancement and deblurring. We provide a scalable model which allows the trade off between system complexity (number of detectors) and time (number of measurements).

AB - In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to a multi-detector device with the benefit of reducing measurement time, while still providing resolution enhancement and deblurring. We provide a scalable model which allows the trade off between system complexity (number of detectors) and time (number of measurements).

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DO - 10.1109/ICASSP.2011.5947083

M3 - Conference contribution

SN - 978-1-4577-0538-0

T3 - IEEE International Conference on Acoustics, Speech and Signal Processing

SP - 2868

EP - 2871

BT - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing

Y2 - 22 May 2011 through 27 May 2011

ER -

Multi image super resolution using compressed sensing

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