Simply denoise: wavefield reconstruction via jittered undersampling

Outline

After a brief overview of the CS framework and the criteria for a favorable recovery, the effects of different undersampling schemes are studied for signals that are sparse in the Fourier domain. Next, we discuss the advantages of random undersampling and design our jittered undersampling strategy that offers increased control on the acquisition grid. The performance of this new scheme for curvelet-based recovery is illustrated on synthetic and real data.