Journal ArticleDOI
Coded aperture imaging with multiple measurements
TLDR
In this article, a general theory of coded aperture imaging with multiple measurements is presented, and an image reconstruction scheme from the coded images is described that results in a maximum signal-to-noise ratio.Abstract:
In coded aperture imaging, only aperture arrays consisting of (0, 1) elements are physically realizable. If multiple coded images are obtained with different aperture masks and the resulting detector images are suitably combined, a larger variety of aperture arrays, such as multilevel, complex-valued, vector-valued, or complementary arrays becomes applicable. We present a general theory of coded aperture imaging with multiple measurements. An image reconstruction scheme from the coded images is described that results in a maximum signal-to-noise ratio. Also, the design of sets of aperture arrays is addressed and explicitly solved for several important cases. It is shown how known classes of correlation arrays can be beneficially applied to coded aperture imaging.read more
Citations
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Patent
Range measurement using multiple coded apertures
Paul J. Kane,Sen Wang +1 more
TL;DR: In this article, a method of using an image capture device to identify range information for objects in a scene is presented, where the captured images from each coded aperture and each of the blur parameters from the stored set are used to determine the range information of the objects in the scene.
Proceedings ArticleDOI
Combinatorial design of near-optimum masks for coded aperture imaging
TL;DR: Using a mismatched filter decoding scheme, artifact-free reconstructions can be obtained even if the aperture array violates the URA condition, and an upper bound for the signal-to-noise ratio as a function of the aperture arrays and the relative detector noise level is derived.
Proceedings ArticleDOI
An analysis of coded aperture acquisition and reconstruction using multi-frame code sequences for relaxed optical design constraints
TL;DR: It is found that even with suboptimal solutions that binary masks can be used to improve imagery over the case of an uncoded aperture with the same aberration.
Proceedings ArticleDOI
Sub-pixel super-resolution by decoding frames from a reconfigurable coded-aperture camera: theory and experimental verification
Geoffrey D. de Villiers,Neil Gordon,Douglas A. Payne,I.K. Proudler,Ian D. Skidmore,Kevin D. Ridley,Charlotte R. Bennett,Rebecca Anne Wilson,Christopher W. Slinger +8 more
TL;DR: Details on the reconstruction method and some challenges which arise when imaging real-world scenes are provided and the number of different mask patterns required to achieve a certain degree of super-resolution is discussed.
Journal ArticleDOI
White light three-dimensional imaging using a quasi-random lens.
TL;DR: In this paper, a denoising deep learning neural network (DLNN) was trained using synthetic noisy images generated by the convolution of recorded point spread functions with the virtual object functions under a wide range of aberrations and noises.
References
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PatentDOI
Coded aperture imaging with uniformly redundant arrays
E. E. Fenimore,Thomas M. Cannon +1 more
TL;DR: Computer simulations show that the URA with significant shot and background noise is vastly superior to random array techniques without noise, and permits a detector which is smaller than its random array counterpart.
Journal ArticleDOI
Pseudo-random sequences and arrays
TL;DR: A simple description of pseudo-random sequences, or maximal-length shift-register sequences, and two-dimensional arrays of area n = 2lm- 1 with the same property.
Journal ArticleDOI
New family of binary arrays for coded aperture imaging
TL;DR: With the addition of MURAs to the family of binary arrays, all prime numbers can now be used for making optimal coded apertures, increasing the number of available square patterns by more than a factor of 3.
Book
Cyclic difference sets
TL;DR: In this paper, the authors discuss the existence questions and constructive existence tests for multipliers and constructiveness tests for difference sets of special type and families of difference sets, and their applications.