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We found that subjective and random approaches produce estimates of SC CSA proportional to the gold standard approach of 'analyse everything', but a subjective 'search and measure' approach tends to overestimate SC CSA compared with comprehensive and random measurements.
b Image-by-image reconstruction from random measurements, PSNR 14.4 dB.
Then, we performed K-clusters-valued CoSaMP and conventional CoSaMP under M = 3S Gaussian random measurements.
Random measurements capture more diverse information within and among the images.
c Joint reconstruction using random measurements with known camera positions, PSNR 24.7 dB.
The average gloss value was calculated from ~10 random measurements, on both sides of each sheet.
Further, we show how to identify fewer optimized sensor locations tailored to a specific problem that outperform random measurements.
To more clearly illustrate the specific benefit that random measurements provide over transform coding (for which the camera positions were known), we show in Figure 8c a reconstruction obtained using random measurements with known camera positions.
At the decoder, given the random measurements y and the measurement matrix Φ, one must attempt to recover x.
To make the comparisons more meaningful, for all tracking methods, the same random measurements streams were used.
One-bit measurements is a more restricted case in which only the sign information of the random measurements is preserved.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com