Per-Pixel Mirror-Based Acquisition Method for video compressive sensing

High-speed videos are essential to many types of scientific investigations. However, using high-speed cameras to directly acquire these videos is prohibitively expensive in many circumstances. This paper proposes a compressive sensing-based method for obtaining high-speed videos using low-speed cameras, which we call the Per-Pixel Mirror-Based Acquisition Method. The proposed technique is light efficient and generates time-independent samples. We compare the reconstruction results of the proposed technique with other techniques available in the literature in terms of signal-to-error (SER) ratios, for natural and synthetic videos. For the tested real videos, the proposed method provided an improvement in SER ranging from 3 to 28 dB, with respect to known techniques such as the flutter shutter and the per-pixel shutter. The actual improvement is higher for higher levels of sparsity in the used transformed representations and for lower used sub-sampling rates.