Variational Framework for Non-Local Inpainting
نویسندگان
چکیده
منابع مشابه
Variational Framework for Non-Local Inpainting
Image inpainting aims to obtain a visually plausible image interpolation in a region of the image in which data is missing due to damage or occlusion. Usually, the only available information is the portion of the image outside the inpainting domain. Besides its numerous applications, the inpainting problem is of theoretical interest since its analysis involves an understanding of the self-simil...
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Non-local methods for image denoising and inpainting have gained considerable attention in recent years. This is in part due to their superior performance in textured images and regions, a known weakness of purely local methods. Local methods on the other hand have demonstrated to be very appropriate for the recovering of geometric structure such as image edges. The synthesis of both types of m...
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While current matting algorithms work very well for some natural images, their performance is questionable in the presence of sharp discontinuities in the foreground and background regions. To counter the above problem, we propose to use variational PDE based inpainting techniques within the matting problem, that are largely successful in inpainting geometric features into unknown regions.
متن کاملVariational Image Inpainting
Inpainting is an image interpolation problem, with broad applications in image and vision analysis. This paper presents our recent efforts in developing inpainting models based on the Bayesian and variational principles. We discuss several geometric image models, their role in the construction of variational inpainting models, and the associated Euler-Lagrange PDEs and their numerical computation.
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Image inpainting is the process of filling in missing regions in an image in a plausible way. In this contribution, we propose and describe an implementation of a patch-based image inpainting algorithm. The method is actually a two-dimensional version of our video inpainting algorithm proposed in [16]. The algorithm attempts to minimise a highly non-convex functional, first introducted by Wexle...
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ژورنال
عنوان ژورنال: Image Processing On Line
سال: 2015
ISSN: 2105-1232
DOI: 10.5201/ipol.2015.136