We present results of an on-going project to assess the applicability in reflection seismology of emerging super
resolution techniques pioneered in digital photography. Our approach involves: (1) construction of a forward model
connecting low resolution seismic images to high resolution ones, and (2) solution of a Tikhonov-regularized ill
conditioned optimization problem to construct a high resolution image from several lower resolution counterparts; the
high and low resolution images derived, respectively, from dense and sparse seismic surveys.