Abstract: Radon transform is widely used in the seismic processing, such as the events identification and estimation can be obtained a good result. By contrast the Radon domain data between the least squares inversion and the sparse constrained inversion which based on Bayesian principles, the latter is better and its convergence of the energy is with higher precision. And also the spatial truncation effect of the discrete calculation is suppressed. Through the analysis of model data with noise, compared high resolution Radon transform and 2D mask filter in Radon domain, both are better performing and have similar results, but the latter is more efficient. For the actual record, the denoising effect and computation efficiency of FK filtering, high resolution linear and parabolic Radon transform, 2D mask filter methods were also compared, the result showed that the 2D mask filter method is the best choice.

Key words: high resolution, Radon transform, mask filter, random noise, denoising