Transform by

The process of obtaining high quality seismic images is very challenging when exploring new areas that have high complexities. The to be processed seismic data comes from the field noisy and commonly incomplete. Recently, major advances were accomplished in the area of coherent noise removal, for example, Surface Related Multiple Elimination (SRME). Predictive multiple elimination methods, such as SRME, consist of two steps: The first step is the prediction step, in this step multiples are pre-dicted from the seismic data. The second step is the separation step in which primaries and multiples are separated. A recent robust Bayesian wavefield separation method have been recently introduced to improve on the separation by matching methods. This method utilizes the effectiveness of using the curvelet transform in processing seismic images. A considerable problem in the seismic processing field is the fact that seismic data are large and require a correspondingly large memory siz