منابع مشابه
Inpainting and Zooming Using Sparse Representations
Representing the image to be inpainted in an appropriate sparse representation dictionary, and combining elements from Bayesian statistics and modern harmonic analysis, we introduce an expectationmaximization (EM) algorithm for image inpainting and interpolation. From a statistical point of view, the inpainting/interpolation can be viewed as an estimation problem with missing data. Towards this...
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Representing the image to be inpainted in an appropriate sparse dictionary, and combining elements from bayesian statistics, we introduce an expectation-maximization (EM) algorithm for image inpainting. From a statistical point of view, the inpainting can be viewed as an estimation problem with missing data. Towards this goal, we propose the idea of using the EM mechanism in a bayesian framewor...
متن کاملHybrid Inpainting Algorithm Based on Sparse Representation and Fast Inpainting Method
Image inpainting technique uses textural or structural information to repair or fill damaged potions of a picture. When dealing with a small area missing textural image, not only should guarantee the effectiveness of the algorithm, but the processing speed also need to be taken into account. In this paper, we propose a simply and effective inpainting method which combining fast inpainting metho...
متن کاملImage Inpainting Based on Exemplars and Sparse Representation
We propose a novel image inpainting approach in which the exemplar and the sparse representation are combined together skillfully. In the process of image inpainting, often there will be such a situation: although the sum of squared differences (SSD) of exemplar patch is the smallest among all the candidate patches, there may be a noticeable visual discontinuity in the recovered image when usin...
متن کاملExemplar-based Image Inpainting by Structured Sparse Representation
Image inpainting is a technique that aims to recovering missing or damaged regions of an image without any manual intervene. Conventional exemplar-based approaches suffer two major defects. One defect is that the inpainting quality heavily depends on the extent of selfsimilarity. If no similar samples exist in the already known region of the image, the missing region may be filled by irrelevant...
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ژورنال
عنوان ژورنال: Journal of Cosmology and Astroparticle Physics
سال: 2014
ISSN: 1475-7516
DOI: 10.1088/1475-7516/2014/01/050