Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation

Seiler J, Jonscher M, Ussmueller T, Kaup A (2018)


Publication Type: Journal article

Publication year: 2018

Journal

Book Volume: 29

Pages Range: 308-322

Journal Issue: 2

URI: https://arxiv.org/abs/2204.12867

DOI: 10.1109/TCSVT.2018.2796725

Abstract

Increasing the resolution of image sensors has been a never ending struggle since many years. In this paper, we propose a novel image sensor layout which allows for the acquisition of images at a higher resolution and improved quality. For this, the image sensor makes use of non-regular sampling which reduces the impact of aliasing. Therewith, it allows for capturing details which would not be possible with state-ofthe-art sensors of the same number of pixels. The non-regular sampling is achieved by rotating prototype pixel cells in a nonregular fashion. As not the whole area of the pixel cell is sensitive to light, a non-regular spatial integration of the incident light is obtained. Based on the sensor output data, a high-resolution image can be reconstructed by performing a deconvolution with respect to the integration area and an extrapolation of the information to the insensitive regions of the pixels. To solve this challenging task, we introduce a novel joint sparse deconvolution and extrapolation algorithm. The union of non-regular sampling and the proposed reconstruction allows for achieving a higher resolution and therewith an improved imaging quality.

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APA:

Seiler, J., Jonscher, M., Ussmueller, T., & Kaup, A. (2018). Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation. IEEE Transactions on Circuits and Systems For Video Technology, 29(2), 308-322. https://dx.doi.org/10.1109/TCSVT.2018.2796725

MLA:

Seiler, Jürgen, et al. "Increasing Imaging Resolution by Non-Regular Sampling and Joint Sparse Deconvolution and Extrapolation." IEEE Transactions on Circuits and Systems For Video Technology 29.2 (2018): 308-322.

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