Short wave infrared single pixel camera based on random sampling

Abstract

The invention provides a new image collection and processing concept. An original image can be precisely reconstructed through a small number of sampling measurement values, traditional data collection and compression are combined, and storage resources are saved. According to an imaging method, a digital micromirror device (DMD) and a single-point sensor firstly collect the non-adaptive linear projection of a signal, and then an original signal is reconstructed according to a reconstruction algorithm. The scheme is a novel shooting method with great potential application value, the bottleneck of the Shannon's sampling theorem is broken through, and the problem that large-area sensing cannot be achieved is solved through single-point sensing. The scheme has broad application prospects in the fields such as space remote sensing, missile guidance, underwater detection and specific signal detection, and detectors with higher sensitivity are adopted, so that weaker signals can be detected.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows cameras that capture images at shorter wavelengths (infra red) than visible lights but still have enough detail or resolution to make them look like real objects during photography. It achieves these technical results without requiring expensive equipment such as specialized filters or mirrors.

Problems solved by technology

Technological Problem: Compression Sensitive Sampling Therapeutic Technique (CSST), an advanced technology developed during this patented research, allows for efficient capture and analysis of wide ranges of analogue or digital images without wasting memory space or transmitting irrelevant data over longer periods of time. However, current techniques are expensive due to their size and complex hardware requirements.

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