  In this paper, we consider subaperture-based approaches for the digital
aberration correction (DAC) of optical coherence tomography (OCT) images. In
particular, we introduce a mathematical framework for describing this class of
approaches, leading to new insights for the subaperture-correlation method.
Furthermore, we propose a novel DAC approach requiring only minimal statistical
assumptions on the spectral phase of the scanned object. Finally, we
demonstrate the applicability of our novel DAC approach via numerical examples
based on both simulated and experimental OCT data.
