Elad's pretty clear in laying out how pre-deep learning denoising research is differently elegant compared to CNN, etc. You should also consider the context, SIAM- the applied math community, which has seen a lot of work in deep mathematical connections between PDEs, denoising, etc. The math is certainly more advanced than required for understanding deep learning and applying it to achieve better results.