Pixel resolution improvement using a sliding mask

Mahalanobis, Abhijit; Shilling, Richard; Muise, Robert; Hines, Kevin; Neifeld, Mark A.

doi:10.1109/wio.2016.7745579

Cited by 1 publication

(1 citation statement)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, the mask may be laterally offset by a small but unknown amount, and the demagnification provided by the re-imager may not be exact. Based on such observations, we have previously modeled 21 the relation between the ideal mask pattern and its true position in the system as an "affine transform." In principle, the transform parameters can be estimated for all shifted positions of the stage on which the mask is mounted by registering the ideal mask to the observed image, and the transformed version of the ideal mask [such as in Fig.…”

Section: Results Of Experimentsmentioning

confidence: 99%

High-resolution imaging using a translating coded aperture

et al. 2017

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Results Of Experimentsmentioning

confidence: 99%