Aberration-free superresolution imaging via binary speckle pattern encoding and processing.

Full Abstract

We present an approach that provides superresolution beyond the classical limit as well as image restoration in the presence of aberrations; in particular, the ability to obtain superresolution while extending the depth of field (DOF) simultaneously is tested experimentally. It is based on an approach, recently proposed, shown to increase the resolution significantly for in-focus images by speckle encoding and decoding. In our approach, an object multiplied by a fine binary speckle pattern may be located anywhere along an extended DOF region. Since the exact magnification is not known in the presence of defocus aberration, the acquired low-resolution image is electronically processed via a parallel-branch decoding scheme, where in each branch the image is multiplied by the same high-resolution synchronized time-varying binary speckle but with different magnification. Finally, a hard-decision algorithm chooses the branch that provides the highest-resolution output image, thus achieving insensitivity to aberrations as well as DOF variations. Simulation as well as experimental results are presented, exhibiting significant resolution improvement factors.

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Author information

Author/s: Ben-Eliezer, Eyal (E); Marom, Emanuel (E);

Affiliation: School of Electrical Engineering, Faculty of Engineering, Tel-Aviv University, Tel-Aviv 69978, Israel. eybe11(-atsign-)gmail.com

Journal and publication information

Publication Type: Evaluation Studies; Journal Article

Journal: Journal of the Optical Society of America. A, Optics, image science, and vision (J Opt Soc Am A Opt Image Sci Vis), published in United States. (Language: eng)

Reference: 2007-Apr; vol 24 (issue 4) : pp 1003-10

Dates: Created 2007/03/15; Completed 2007/05/31;

PMID: 17361286, status: MEDLINE (last retrieval date: 12/26/2008)

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms
Artifacts
Artificial Intelligence
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods

Information Storage and Retrieval - methods
Numerical Analysis, Computer-Assisted
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted

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