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New strategy for high-dimensional single-pixel imaging.

Single-pixel imaging (SPI) technique has been studied intensively due to its minimum requirement for the detector resolution and the equipment costs. In this work, we proposed a new strategy of the SPI to explore its capability in high-dimensional imaging, which is the first comprehensive scheme as we know to achieve calibration, color texture and viewpoint expansion of single-pixel three-dimensional imaging. We realized a low-cost single-pixel three-dimensional imaging scheme which employ a raster scanner to provide the structured illumination and a grating to encode the height information. In order to reduce the blocking area, we introduce two single-pixel detectors (SPDs) to detect from two detection angles, a modified total variation based criterion is proposed to fuse the height information from two SPDs and reduce the error of shape fusion. To acquire the information of higher dimension, we introduce the third SPD aims to gain the color texture, three bandpass filter is placed in front of three SPDs, respectively, to collect different color information. Meanwhile a viewpoint switching method inspired by the shape from shading theory is presented to improve the color fidelity. Our study is expected to provide a demonstration for SPI in acquisition, reconstruction, and fusion of high-dimensional image data.