IEEE Transactions on Image Processing
| Hi-index | 0.00 |
Penalized-Likelihood (PL) image reconstruction methods produce better quality images than normal analytical methods. However, these images exhibit non-uniform resolution properties. A number of prior functions have been used to recover this non-uniform resolution. Quadratic Priors (QPs) are preferred for penalization due to their simplicity and their resolution characteristics have been studied extensively. However, images reconstructed with QPs exhibit non-uniform resolution properties. Here, we propose two new priors based on QPs and median priors (MPs) and evaluate their resolution characteristics. The recovered resolution for the Combined Priors (CPs), a combination of QPs and MPs, can be set between QPs and MPs by selecting appropriate values for hyperparameters. For this modified MPs (ModMPs), almost uniform spatial resolution can be achieved.