  Multi-view images are acquired by a lensless compressive imaging
architecture, which consists of an aperture assembly and multiple sensors. The
aperture assembly consists of a two dimensional array of aperture elements
whose transmittance can be individually controlled to implement a compressive
sensing matrix. For each transmittance pattern of the aperture assembly, each
of the sensors takes a measurement. The measurement vectors from the multiple
sensors represent multi-view images of the same scene. We present theoretical
framework for multi-view reconstruction and experimental results for enhancing
quality of image using multi-view.
