Super-resolution imaging using a camera array

Carles, Guillem; Downing, James; Harvey, Andrew R.

doi:10.1364/ol.39.001889

Cited by 58 publications

(36 citation statements)

References 14 publications

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“…However, apart from the technological challenges associated with this approach, smaller pixels detect less light, which degrades image quality [1]. An alternative approach to increase the pixel resolution is microscanning [2][3][4][5][6]. In this approach, multiple images of the same scene are recorded, and the pixelated detector is displaced by sub-pixel sized translations between each images.…”

Section: Introductionmentioning

confidence: 99%

Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning

et al. 2016

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Single-pixel cameras provide a means to perform imaging at wavelengths where pixelated detector arrays are expensive or limited. The image is reconstructed from measurements of the correlation between the scene and a series of masks. Although there has been much research in the field in recent years, the fact that the signal-to-noise ratio (SNR) scales poorly with increasing resolution has been one of the main limitations prohibiting the uptake of such systems. Microscanning is a technique that provides a final higher resolution image by combining multiple images of a lower resolution. Each of these low resolution images is subject to a sub-pixel sized lateral displacement. In this work we apply a digital microscanning approach to an infrared single-pixel camera. Our approach requires no additional hardware, but is achieved simply by using a modified set of masks. Compared to the conventional Hadamard based single-pixel imaging scheme, our proposed framework improves the SNR of reconstructed images by ∼ 50 % for the same acquisition time. In addition, this strategy also provides access to a stream of low-resolution 'preview' images throughout each high-resolution acquisition.

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Section: Introductionmentioning

confidence: 99%

Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning

et al. 2016

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“…For completeness, in the right image of Fig. 2(d), we depict the simpler case where multiple independent detector cameras are used so that all lenses are used on-axis [18]. This latter implementation is attractive when detector arrays are low cost and relies on imperfect tolerancing to statistically break redundancy in sampling of the image.…”

Section: Multi-aperture Designmentioning

confidence: 99%

Compact multi-aperture imaging with high angular resolution

Carles

Muyo

Bustin³

et al. 2015

J. Opt. Soc. Am. A

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Received Month X, XXXX; revised Month X, XXXX; accepted Month X, XXXX; posted Month X, XXXX (Doc. ID XXXXX); published Month X, XXXX Previous reports have demonstrated that it is possible to emulate the imaging function of a single conventional lens with an NxN array of identical lenslets to provide an N-fold reduction in imaging-system track length. This approach limits the application to low-resolution imaging. We highlight how using an array of dissimilar lenslets, with an array width that can be much wider than the detector array, high-resolution super-resolved imaging is possible. We illustrate this approach with a ray-traced design and optimization of a long-wave infrared system employing a 3x3 array of free-form lenslets to provide a four-fold reduction in track length compared to a baseline system. Simulations of image recovery show that recovered image quality is comparable to that of the baseline system.

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“…It is well known that simple averaging of frames with subpixel registration can be used to improve resolution by a factor of two or thereabouts, while more powerful algorithms that employ forward models and smoothness constraints can achieve considerably better improvements in image resolution. [1][2][3][4][5][6] Computational imaging (CI) with coded apertures provides an alternate approach for high-resolution imaging using low-resolution measurements 7 by optically modulating the light field before it is digitally captured, so that high spatial frequencies can be algorithmically recovered from several such encoded measurements. Although it is possible to encode information at the entrance pupil, 8 many CI architectures employ a spatial light modulator (SLM) in an intermediate image plane to implement the coding strategy.…”

Section: Introductionmentioning

confidence: 99%

High-resolution imaging using a translating coded aperture

et al. 2017

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Abstract. It is well known that a translating mask can optically encode low-resolution measurements from which higher resolution images can be computationally reconstructed. We experimentally demonstrate that this principle can be used to achieve substantial increase in image resolution compared to the size of the focal plane array (FPA). Specifically, we describe a scalable architecture with a translating mask (also referred to as a coded aperture) that achieves eightfold resolution improvement (or 64∶1 increase in the number of pixels compared to the number of focal plane detector elements). The imaging architecture is described in terms of general design parameters (such as field of view and angular resolution, dimensions of the mask, and the detector and FPA sizes), and some of the underlying design trades are discussed. Experiments conducted with different mask patterns and reconstruction algorithms illustrate how these parameters affect the resolution of the reconstructed image. Initial experimental results also demonstrate that the architecture can directly support task-specific information sensing for detection and tracking, and that moving objects can be reconstructed separately from the stationary background using motion priors.

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Super-resolution imaging using a camera array

Cited by 58 publications

References 14 publications

Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning

Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning

Compact multi-aperture imaging with high angular resolution

High-resolution imaging using a translating coded aperture

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