Add to ORKGIn this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resam-pling algorithm are investigated: choice of discrepancy and regularization norms, improvements of convergence speed using edge-directional steepest-descent method and patch-based details synthesis. A model of a downsampling operator based on a camera observation model is considered. Index Terms — Image interpolation, regularization, edge-directional, details synthesis, super-resolution, resampling
A novel edge-preserving image interpolation algorithm is introduced. It is based on the use of a sim...
In this paper we describe a novel general purpose image interpolation method based on the combinatio...
A convergent iterative regularization procedure based on the square of a dual norm is introduced for...
This paper discusses the problem of superresolution reconstruction. To preserve edges accurately and...
In this paper the iterative methods of image restoration are considered. These methods are based on ...
AbstractIn image restoration, the so-called edge-preserving regularization method is used to solve a...
We propose an edge adaptive digital image denoising and restoration scheme based on space dependent ...
In image restoration, the so-called edge-preserving regularization method is used to solve an optimi...
The edge-preserving regularization method (EPR) is effective to remove Gaussian noise and impulse no...
In this paper, a novel single image super-resolution (SR) method based on progressive-iterative appr...
In this paper a nonlinear frequency domain adaptive regularized iterative image restoration algorith...
Abstract We present a new image restoration method by combining iterative VanCittert algorithm with ...
It has been shown in literature that adaptive regu-larized image restoration is superior to non-adap...
This work addresses the problem of blind image deblurring, that is, of recovering an original image ...
Total variation regularization is well-known for recovering sharp edges; however, it usually produce...
A novel edge-preserving image interpolation algorithm is introduced. It is based on the use of a sim...
In this paper we describe a novel general purpose image interpolation method based on the combinatio...
A convergent iterative regularization procedure based on the square of a dual norm is introduced for...
This paper discusses the problem of superresolution reconstruction. To preserve edges accurately and...
In this paper the iterative methods of image restoration are considered. These methods are based on ...
AbstractIn image restoration, the so-called edge-preserving regularization method is used to solve a...
We propose an edge adaptive digital image denoising and restoration scheme based on space dependent ...
In image restoration, the so-called edge-preserving regularization method is used to solve an optimi...
The edge-preserving regularization method (EPR) is effective to remove Gaussian noise and impulse no...
In this paper, a novel single image super-resolution (SR) method based on progressive-iterative appr...
In this paper a nonlinear frequency domain adaptive regularized iterative image restoration algorith...
Abstract We present a new image restoration method by combining iterative VanCittert algorithm with ...
It has been shown in literature that adaptive regu-larized image restoration is superior to non-adap...
This work addresses the problem of blind image deblurring, that is, of recovering an original image ...
Total variation regularization is well-known for recovering sharp edges; however, it usually produce...
A novel edge-preserving image interpolation algorithm is introduced. It is based on the use of a sim...
In this paper we describe a novel general purpose image interpolation method based on the combinatio...
A convergent iterative regularization procedure based on the square of a dual norm is introduced for...