Recently, there has been a strong ambition to translate models and algorithms from traditional image processing to non-Euclidean domains, e.g., to manifold-valued data. While the task of denoising has been extensively studied in the last years, there was rarely an attempt to perform image inpainting on manifold-valued data. In this paper we present a nonlocal inpainting method for manifold-valu...

Inpainting is the technique of reconstructing unknown or damaged portions of an image in a visually plausible way. Inpainting algorithm automatically fills the damaged region in an image using the information available in undamaged region. Propagation of structure and texture information becomes a challenge as the size of damaged area increases. In this paper, a hierarchical inpainting algorith...

We present a technique for efficiently constructing a “clean” texture map of a partially occluded building facade from a series of images taken by a moving camera. After a robust registration procedure, building regions blocked by trees, signs, people, and other foreground objects are automatically inferred via the median absolute deviation of colors from different source images mapping to the ...

Unrestricted camera motion and the ability to operate over a range of lens parameters are often desirable when using an off-the-shelf camera. Variations in intrinsic and extrinsic parameters induce defocus and pixel motion, both of which relate to scene structure. We propose a depth estimation approach by elegantly coupling the motion and defocus cues. We further advocate a natural extension of...

Due to the limitations of textual datasets, there are currently few studies on character inpainting. Second, unlike image inpainting, inpainting cannot replicate results and some methods even inaccessible. Finally, extraction features in existing model is insufficient, resulting being unable reconstruct characters based complete accurate features. In this paper, we first threshold obtained insc...

despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. in this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. using this framework, first the moving foreground is separated from the background and its scale is equalized. then, a ...

PURPOSE The problem of metal artifact reduction (MAR) is almost as old as the clinical use of computed tomography itself. When metal implants are present in the field of measurement, severe artifacts degrade the image quality and the diagnostic value of CT images. Up to now, no generally accepted solution to this issue has been found. In this work, a method based on a new MAR concept is present...

Different from an orthonormal basis, a tight frame is an overcomplete and energy-preserving system with flexibility and redundancy. Many image restoration methods employing tight frames have been developed and studied in the literature. Tight wavelet frames have been proven to be useful in many applications. In this paper we are particularly interested in the image inpainting problem using dire...

Article history: Available online 5 December 2014