WebAbstract Legacy seismic surveys cover much of the midcontinent USA and Texas, with almost all 3D surveys acquired in the 1990s considered today to be low fold. Fortunately, recent advances in 5D interpolation have not only enhanced the quality of structural and stratigraphic images, but they have also improved the data sufficiently to allow more … Web% d_pocs simulates the projections onto convex sets (POCS) based demosaicing algorithm. % % [out_pocs] = d_pocs (X, N_iter, T) % X -> Bayer sampled mosaic % N_iter -> Number of iterations % T -> Threshold % out_pocs -> Interpolated image using the POCS algorithm % % For details, please refer to the paper:

A Review on Image Super Resolution Techniques – IJERT

WebJul 28, 2016 · Then, the projection onto convex projection (POCS) method is used to interpolate frequency-space data based on complex-valued curvelet transform. Finally, … WebPOCS Interpolation. The POCS (projection onto convex sets) based interpolation method (Adorf 1993) is a conceptually simple, iterative scheme, directly applicable to regularly sampled observations with missing data, where the underlying continuous signal has a known (or assumed) fundamental period. The POCS method attempts to fill the data gaps … hardy landscaping darwin

3D interpolation of irregular data with a POCS algorithm

WebJan 1, 2024 · POCS algorithm is widely used because of its simplicity and robustness. Abma and Kabir (2006) firstly applied the POCS algorithm to irregular seismic data interpolation, … WebJul 28, 2016 · Synthetic data and field data examples show that the efficiency can be improved more than two times and the performance is slightly better in the frequency-space domain compared with the POCS method directly performed in the time- space domain, which demonstrates the validity of the proposed method. Sampling irregularity in … hardy wolfert