ABSTRACT. In this paper we present a novel method for interpolating im- ages and we introduce the concept of non-local interpolation.
In this paper we present a novel method for interpolating images and we introduce the concept of non-local interpolation.
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In this paper we present a novel method for interpolating images and we introduce the concept of non-local interpolation.
Interpolation is an important problem in image processing. The main issue on this application is to recover high frequency components lost by aliasing.
Experiment results demonstrate that our algorithm significantly improves PSNR and SSIM of the interpolated images compared with state-of-the-art algorithms.
In this paper we incorporate the image nonlocal self-similarity into SRM for image interpolation. ... Coll, J. M. Morel, “A non-local algorithm for image ...
Two widely used priors including sparsity and nonlocal self-similarity are used as the regularization terms to boost the performance of the interpolation model.
Abstract. In this paper, we proposed a new edge-directed image interpolation algorithm which can preserve the edge features and natural appearance of.
Non-local means is an algorithm in image processing for image denoising. Unlike "local mean" filters, which take the mean value of a group of pixels ...
2013/12/27 · ABSTRACT: This paper presents an efficient method for the resolution enhancement of low resolution (LR) images.