Journal
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume 69, Issue 5, Pages 2398-2402Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2022.3160012
Keywords
Image reconstruction; Image resolution; Windows; Image quality; Extrapolation; Reconstruction algorithms; Mathematical models; Image reconstruction; image processing; compressed sensing; nonuniform sampling; image sampling
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Funding
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [225074913]
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Non-regular three-quarter sampling using L-shaped pixels has been shown to improve image sensor quality, and a faster version of the reconstruction algorithm, RL-JSDE, provides significant speedups on both CPU and GPU without sacrificing image quality.
Recently, non-regular three-quarter sampling has shown to deliver an increased image quality of image sensors by using differently oriented L-shaped pixels compared to the same number of square pixels. A three-quarter sampling sensor can be understood as a conventional low-resolution sensor where one quadrant of each square pixel is opaque. Subsequent to the measurement, the data can be reconstructed on a regular grid with twice the resolution in both spatial dimensions using an appropriate reconstruction algorithm. For this reconstruction, local joint sparse deconvolution and extrapolation (L-JSDE) has shown to perform very well. As a disadvantage, L-JSDE requires long computation times of several dozen minutes per megapixel. In this paper, we propose a faster version of L-JSDE called recurrent L-JSDE (RL-JSDE) which is a reformulation of L-JSDE. For reasonable recurrent measurement patterns, RL-JSDE provides significant speedups on both CPU and GPU without sacrificing image quality. Compared to L-JSDE, 20-fold and 733-fold speedups are achieved on CPU and GPU, respectively.
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