Journal ArticleDOI
Pseudorandom phase masks for superresolution imaging from subpixel shifting
Amit Ashok,Mark A. Neifeld +1 more
TLDR
A method for overcoming the pixel-limited resolution of digital imagers is presented, which combines optical point-spread function engineering with subpixel image shifting and places an optimized pseudorandom phase mask in the aperture stop of a conventional imager.Abstract:
We present a method for overcoming the pixel-limited resolution of digital imagers. Our method combines optical point-spread function engineering with subpixel image shifting. We place an optimized pseudorandom phase mask in the aperture stop of a conventional imager and demonstrate the improved performance that can be achieved by combining multiple subpixel shifted images. Simulation results show that the pseudorandom phase-enhanced lens (PRPEL) imager achieves as much as 50% resolution improvement over a conventional multiframe imager. The PRPEL imager also enhances reconstruction root-mean-squared error by as much as 20%. We present experimental results that validate the predicted PRPEL imager performance.read more
Citations
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Computational Plenoptic Imaging
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Proceedings ArticleDOI
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Journal ArticleDOI
Unconventional methods of imaging: computational microscopy and compact implementations.
Euan McLeod,Aydogan Ozcan +1 more
TL;DR: A review of lens-based computational imaging, in particular, light-field microscopy, structured illumination, synthetic aperture, Fourier ptychography, and compressive imaging, and how these and other microscopy modalities have been implemented in compact and field-portable devices, often based around smartphones.
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Diffusion coded photography for extended depth of field
TL;DR: In this paper, the effect of a diffuser as a kernel in light field space is analyzed in a simple and intuitive way by modeling the effect on the depth invariance of a camera.
References
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Maximum likelihood from incomplete data via the EM algorithm
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Multiuser Detection
TL;DR: This self-contained and comprehensive book sets out the basic details of multiuser detection, starting with simple examples and progressing to state-of-the-art applications.
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Bayesian-Based Iterative Method of Image Restoration
TL;DR: An iterative method of restoring degraded images was developed by treating images, point spread functions, and degraded images as probability-frequency functions and by applying Bayes’s theorem.
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An iterative technique for the rectification of observed distributions
TL;DR: In this article, the authors consider the problem of determining the distribution of proper motions in a line-of-sight line of sight (LoSOS) image from a given number count.
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Fast and robust multiframe super resolution
TL;DR: This paper proposes an alternate approach using L/sub 1/ norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models and demonstrates its superiority to other super-resolution methods.