Abstract
An iterative algorithm to increase image resolution is described. Examples are shown for low-resolution gray-level pictures, with an increase of resolution clearly observed after only a few iterations. The same method can also be used for deblurring a single blurred image. The approach is based on the resemblance of the presented problem to the reconstruction of a 2-D object from its 1-D projections in computer-aided tomography. The algorithm performed well for both computer-simulated and real images and is shown, theoretically and practically, to converge quickly. The algorithm can be executed in parallel for faster hardware implementation.
Original language | English |
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Pages (from-to) | 115-120 |
Number of pages | 6 |
Journal | Proceedings - International Conference on Pattern Recognition |
Volume | 2 |
State | Published - 1990 |
Event | Proceedings of the 10th International Conference on Pattern Recognition - Atlantic City, NJ, USA Duration: 16 Jun 1990 → 21 Jun 1990 |