Zero-Lag Cross-Correlation Imaging condition (ZL-CC-IC) is widely used in Reverse Time Migration (RTM) for the recovery of structural images of the subsurface. The presence of spatial low frequency noise so called artifacts, is one of the challenges of post processing in certain complex velocity field models with special features. Paniagua and Sierra-Sosa (2016) proposed a new post processing technique for the edge enhancement and reduction of low frequency artifacts; now our aim is to demonstrate the good performance of this technique and establish quantitative features and relations between the numerical results and the physical phenomenon. We present a comparative spectral study of the zero-lag cross-correlation imaging condition (ZL-CC-IC), zero-lag cross-correlation plus Laplacian filtering (ZL-CC-LP) and zero-lag cross-correlation plus Laguerre-Gauss filtering (ZL-CC-LG) showing their frequency features, also we show some results of the Laguerre-Gauss filtering applied in complex synthetic datasets and finally, using a smoothed velocity model in order to simulate the uncertainties of a real application, we show the good results obtained by using the Laguerre-Gauss Filtering posterior to RTM.