Abstract
Single-pixel imaging (SPI) uses a single-pixel detector to create an image of an object. SPI relies on a computer to construct an image, thus increasing both the size and cost of SPI and limiting its application. We developed instant single-pixel imaging (ISPI), an on-chip SPI system that implements real-time imaging at a rate of 25 fps. ISPI uses the instant ghost imaging algorithm we proposed, which leverages signal differences for image creation. It does not require a computer, which greatly reduces its both cost and size. The reconstruct time of ISPI for image creation is almost zero because little processing is required after signal detection. ISPI paves the way for the practical application of SPI.
Highlights
The single-pixel imaging (SPI) process is to illuminate an object with structured light, collect transmitted or reflected light from the object using a single-pixel detector, and perform calculations to create an image of the object [1,2]
Note that the time on each image is the time required for instant single-pixel imaging (ISPI) to generate an image when the DMD operated at 20 kHz
We described ISPI, an on-chip SPI using the IGI algorithm
Summary
The single-pixel imaging (SPI) process is to illuminate an object with structured light, collect transmitted or reflected light from the object using a single-pixel detector, and perform calculations to create an image of the object [1,2]. SPI is of particular interest in areas where array cameras are unavailable or expensive, such as terahertz imaging [16,17], infrared imaging [18] and X-ray imaging [19] It has important applications in the fields of three-dimensional imaging [20–23], lidar [24,25], microscopic imaging [26,27], and encryption [28,29]. Image creation is time-consuming and requires considerable computing resources This requirement constrains the use of single-pixel cameras in practice. We developed instant single-pixel imaging (ISPI), an on-chip SPI system that implements real-time imaging for moving objects at a rate of 25 fps. Using signal differences is inherently noise-free (the noise components of two consecutive signals are approximately equal, taking the signal difference effectively removes the noise), which gives ISPI an excellent capacity for resisting interference due to optical background noise This on-chip implementation of ISPI makes SPI more accessible for practical applications
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