Random Noise Attenuation Using 2-Dimensional Shearlet Transform
Amine Merouane, Orhan Yilmaz, Edip Baysal · 2015
Summary Random noise attenuation in seismic shot gathers is an important processing step which enables other processes that rely on the input data to work more effectively such as deconvolution and pre-stack imaging. This work aims to describe a method which adaptively performs random noise attenuation in the shearlet domain of sliding 2-dimensional windows. We conducted different denoising experiments on real marine shot gathers with different signal-to-noise ratio. The results show that the proposed method is capable of suppressing the random noise while preserving the signal on the pre-stack gathers.