| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 406105 | Neurocomputing | 2015 | 9 Pages |
•A new algorithm is put forward in this paper to suppress and reduce the ringing artifacts of the IBP super resolution algorithm.•An iterative scheme is presented in this paper to get the more accurate image for SR reconstruction.•In the algorithm, we take into self-adapting analysis based on the variation on projections and local variance for projection matrix between two iterations.•In this paper, a restraint item is designed to restrain the back projection matrix and the iteration process, which based on the self-adapting analysis.
In order to suppress and reduce the ringing artifacts of the IBP super resolution algorithm, an improved iterative back projection (IBP) reconstruction algorithm is presented in this paper. Firstly, two novel concepts, variation and local variance variation based on an adaptive analysis are introduced. They are calculated based on the error projection matrix in the back projection process. Secondly, a restraint item is adopted to constrain the back projection matrix. Thirdly, a modified iterative scheme is used to reconstruct the high resolution image. The effectiveness of the proposed approach on ringing artifacts suppression is demonstrated by experiments. The results indicate that the proposed method can achieve satisfactory performance.
