Compressive Coded Rotating Mirror Camera for High-Speed Imaging

Shuffled rolling shutter for snapshot temporal imaging

We propose a modification to the rolling shutter mechanism found in CMOS detectors by shuffling the pixels in every scanline. This potential hardware modification improves the sampling of the space-time datacube, allowing the recovery of high-speed videos from a single image using either tensor completion methods or reconstruction algorithms often used for compressive temporal video. We also present a design methodology for optimal sampling schemes and compare them to random shuffling. Simulations, and experimental results obtained by optically emulating the hardware, demonstrate the ability of the shuffled rolling shutter to capture images that allow reconstructing videos, which would otherwise be impossible when using the traditional rolling shutter mechanism.

Continuously streaming compressed high-speed photography using time delay integration

An imaging system capable of acquiring high-resolution data at a high speed is in demand. However, the amount of optical information captured by a modern camera is limited by the data transfer bandwidth of electronics, resulting in a reduced spatial and temporal resolution. To overcome this problem, we developed continuously streaming compressed high-speed photography, which can record a dynamic scene with an unprecedented space-bandwidth-time product. By performing compressed imaging in a time-delay-integration manner, we continuously recorded a 0.85 megapixel video at 200 kHz, corresponding to an information flux of 170 gigapixels per second.

Video encryption/compression using compressive coded rotating mirror camera

Compressive coded rotating mirror (CCRM) camera is a novel high-speed imaging system that operates under amplitude optical encoding and frame sweeping modalities in a passive imaging mode that is capable of reconstructing 1400 frames from a single shot image acquisition and achieves the highest compression ratio of 368 compared to the other compressive sensing (CS) based single-shot imaging modalities. The integrated optical encoding and compression adds a strong layer of encryption on the observed data and facilitates the integration of the CCRM camera with the imaging applications that require highly efficient data encryption and compression due to capturing highly sensitive data or limited transmission and storage capacities. CCRM uses amplitude encoding that significantly extends the key space where the probability of having the exact encoder pattern is estimated as [Formula: see text], hence drastically reducing the possibility of data recovery in a brute force manner. Data reconstruction is achieved under CS based algorithms where the obtained amplitude-based pattern from optical encoder operates as the key in the recovery process. Reconstruction on the experimental as well as the synthetic data at various compression ratios demonstrate that the estimated key with less than 95[Formula: see text] matching elements were unable to recover the data where the achieved averaged structural similarity (SSIM) of 0.25 before 95[Formula: see text] encoder similarity and 0.85 SSIM at 100[Formula: see text] encoder similarity demonstrates the high-sensitivity of the proposed optical encryption technique.