We test the reconstruction power of a lensless cam- era on a custom dataset. We define a linear inverse problem on the raw image, based on a PSF estimation of the the sensing device and the actual captures. We implement various regularizations to enforce some priors on the reconstructed images and optimize their parameters against some data fidelity scores. Finally we discuss the results, highlighting strengths and drawback of signal processing techniques.