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Lensless imaging seeks to replace/remove the lens in a conventional imagingsystem. The earliest cameras were in fact lensless, relying on long exposuretimes to form images on the other end of a small aperture in a darkenedroom/container (camera obscura). The introduction of a lens allowed for morelight throughput and therefore shorter exposure times, while retaining sharpfocus. The incorporation of digital sensors readily enabled the use ofcomputational imaging techniques to post-process and enhance raw images (e.g.via deblurring, inpainting, denoising, sharpening). Recently, imagingscientists have started leveraging computational imaging as an integral part oflensless imaging systems, allowing them to form viewable images from the highlymultiplexed raw measurements of lensless cameras (see [5] and referencestherein for a comprehensive treatment of lensless imaging). This represents areal paradigm shift in camera system design as there is more flexibility tocater the hardware to the application at hand (e.g. lightweight or flatdesigns). This increased flexibility comes however at the price of a moredemanding post-processing of the raw digital recordings and a tighterintegration of sensing and computation, often difficult to achieve in practicedue to inefficient interactions between the various communities of scientistsinvolved. With LenslessPiCam, we provide an easily accessible hardware andsoftware framework to enable researchers, hobbyists, and students to implementand explore practical and computational aspects of lensless imaging. We alsoprovide detailed guides and exercises so that LenslessPiCam can be used as aneducational resource, and point to results from our graduate-level signalprocessing course.

LenslessPiCam: A Hardware and Software Platform for Lensless Computational Imaging with a Raspberry Pi