Single-pixel imaging using non-local means-based reconstruction algorithm

摘要

Single-pixel imaging was initially based on a statistical model, which uses a series of random patterns for illumination. This means that it requires a great number of measurements (much larger than pixel counts) and long data-acquisition time. Therefore it is necessary to enhance the effective of information collection and reconstruction by employing some priori information. In this paper, a single pixel imaging system is proposed based on APD and Spatial light modulator. And then an image reconstruction algorithm is proposed based on non-local means (NLM). Based on that there are a large number of similar patches within an infrared image, NLM method can abstract the non-local similarity information and then the value of image pixel can be estimated. The reconstructed image is obtained by minimizing a cost function.