![]() By eliminating the need for a 2D sensor (e.g., CCD or CMOS), SPI may use detectors whose cutting-edge performance or high specialization are impractical to manufacture in an array format 2. ![]() In the ensuing image reconstruction, these spatial patterns are used as prior knowledge to facilitate the accurate recovery of spatial information. This approach imparts deterministic two-dimensional (2D) spatial patterns onto the imaging beam, followed by data acquisition using a single-pixel detector. Single-pixel imaging (SPI) is a potent computational imaging modality with widespread applications 1. SPI-ASAP allows reconfigurable imaging in both transmission and reflection modes, dynamic imaging under strong ambient light, and offline ultrahigh-speed imaging at speeds of up to 12,000 fps. Meanwhile, leveraging the structural properties of S-cyclic matrices, a lightweight CS reconstruction algorithm, fully compatible with parallel computing, is developed for real-time video streaming at 100 frames per second (fps). To address these challenges, we develop SPI accelerated via swept aggregate patterns (SPI-ASAP) that combines a DMD with laser scanning hardware to achieve pattern projection rates of up to 14.1 MHz and tunable frame sizes of up to 101×103 pixels. ![]() Recent efforts in overcoming the speed limit in SPI, such as the use of fast-moving mechanical masks, suffer from low reconfigurability and/or reduced accuracy. Most SPI systems are limited by the refresh rates of digital micromirror devices (DMDs) and time-consuming iterations in compressed-sensing (CS)-based reconstruction. Single-pixel imaging (SPI) has emerged as a powerful technique that uses coded wide-field illumination with sampling by a single-point detector. ![]()
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