In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome limitations irregularly sampled data, this paper proposes a method combining smoothing fast iterative soft threshold algorithm (SFISTA) curvelet transform; uses domain as sparse domain. For comparison, contourlet transform is used for different domains, shrinkage-thresholding (FIS...

Medical image fusion plays an important role in clinical applications such as image-guided surgery, image-guided radiotherapy, non-invasive diagnosis, and treatment planning. In order to improve the comprehension of multiple medical image information, we consider the advantage of non-subsampled contourlet transform (NSCT) in multi-scale analysis method and multiple directions and apply it to mu...

One of the key differences between one-dimensional (1-D) and N -D (N ≥ 2) signals is the geometrical information, an important and unique feature of multidimensional signals. The goal of this research is to develop a new set of theories and techniques in signal processing that can make better use of the intrinsic geometrical information in multidimensional data in a robust and efficient way. Th...