title: Improving the signal-to-noise ratio of single-pixel imaging using digital microscanning.
abstract: Single-pixel cameras provide a means to perform imaging at wavelengths where pixelated detector arrays are expensive or limited. The image is reconstructed from measurements of the correlation between the scene and a series of masks. Although there has been much research in the field in recent years, the fact that the signal-to-noise ratio (SNR) scales poorly with increasing resolution has been one of the main limitations prohibiting the uptake of such systems. Microscanning is a technique that provides a final higher resolution image by combining multiple images of a lower resolution. Each of these low resolution images is subject to a sub-pixel sized lateral displacement. In this work we apply a digital microscanning approach to an infrared single-pixel camera. Our approach requires no additional hardware, but is achieved simply by using a modified set of masks. Compared to the conventional Hadamard based single-pixel imaging scheme, our proposed framework improves the SNR of reconstructed images by ∼ 50 % for the same acquisition time. In addition, this strategy also provides access to a stream of low-resolution 'preview' images throughout each high-resolution acquisition.
authors.forename: Ming-Jie
authors.initials: MJ
authors.lastname: Sun
authors.forename: Matthew P
authors.initials: MP
authors.lastname: Edgar
authors.forename: David B
authors.initials: DB
authors.lastname: Phillips
authors.forename: Graham M
authors.initials: GM
authors.lastname: Gibson
authors.forename: Miles J
authors.initials: MJ
authors.lastname: Padgett