Efficient implementation of image interpolation as an inverse problem
Digital Signal Processing
Iterative evaluation of the regularization parameter in regularized image restoration
Journal of Visual Communication and Image Representation
Vehicle license plate super-resolution using soft learning prior
Multimedia Tools and Applications
Hi-index | 35.68 |
A nonlinear regularized iterative image restoration algorithm is proposed, according to which only the noise variance is assumed to be known in advance. The algorithm results from a set theoretic regularization approach, where a bound of the stabilizing functional, and therefore the regularization parameter, are updated at each iteration step. Sufficient conditions for the convergence of the algorithm are derived and experimental results are shown