Increasing imaging resolution by covering your sensor

Schöberl M, Seiler J, Foessel S, Kaup A (2011)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2011

Pages Range: 1937-1940

Article Number: 6115839

Event location: Brussels BE

ISBN: 9781457713033

DOI: 10.1109/ICIP.2011.6115839

Abstract

Up to now, an increase in camera resolution required image sensors with more and more pixels. However, acquisition systems are limited in their pixels per second throughput given as power and complexity constraints. Simply capturing more pixels in a given system is often not possible. We propose a new non-regular imaging architecture that samples only few pixels and reconstructs a high resolution image afterwards. Our sampling is optimized to provide non-regular spatial sampling from a sensor with regular readout circuits. An existing slow image acquisition system can then be used to capture the data. The image reconstruction is performed with a local sparsity-based approach. The result is a high resolution image that requires a much smaller effort during acquisition. © 2011 IEEE.

Authors with CRIS profile

Michael Schöberl Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Schöberl, M., Seiler, J., Foessel, S., & Kaup, A. (2011). Increasing imaging resolution by covering your sensor. In Proceedings of the 2011 18th IEEE International Conference on Image Processing, ICIP 2011 (pp. 1937-1940). Brussels, BE.

MLA:

Schöberl, Michael, et al. "Increasing imaging resolution by covering your sensor." Proceedings of the 2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels 2011. 1937-1940.

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