Results 31 to 40 of about 20,627 (197)
Metameric Inpainting for Image Warping
IEEE Transactions on Visualization and Computer Graphics, 2023 Image-warping, a per-pixel deformation of one image into another, is an essential component in immersive visual experiences such as virtual reality or augmented reality. The primary issue with image warping is disocclusions, where occluded (and hence unknown) parts of the input image would be required to compose the output image.
Rafael Kuffner dos Anjos +6 more
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Digital inpainting of mural images based on DC-CycleGAN
Heritage Science, 2023 Located in Dunhuang, northwest China, the Mogao Grottoes are a cultural treasure of China and the world. However, after more than 2000 years of weathering and destruction, many murals faded and were damaged. This treasure of human art is in danger. Mural
Zhigang Xu, Chenmin Zhang, Yanpeng Wu
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Nonlocal Inpainting of Manifold-valued Data on Finite Weighted Graphs
, 2017 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
Bergmann, Ronny, Tenbrinck, Daniel
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RIBBONS: Rapid Inpainting Based on Browsing of Neighborhood Statistics
, 2018 Image inpainting refers to filling missing places in images using neighboring pixels. It also has many applications in different tasks of image processing.
Akbari, Mojtaba +3 more
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Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka
EURASIP Journal on Image and Video Processing, 2017 Exemplar-based image inpainting, as proposed by Criminisi et al. (IEEE Trans Image Process 13(9):1200–1212, 2004), fills missing regions by using a similar exemplar.
Weilan Wang, Yanjun Jia
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Adversarial Inpainting of Medical Image Modalities
, 2018 Numerous factors could lead to partial deteriorations of medical images. For example, metallic implants will lead to localized perturbations in MRI scans.
Armanious, Karim +3 more
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Sparse image reconstruction on the sphere: implications of a new sampling theorem
, 2013 We study the impact of sampling theorems on the fidelity of sparse image reconstruction on the sphere. We discuss how a reduction in the number of samples required to represent all information content of a band-limited signal acts to improve the fidelity
McEwen, J. D. +5 more
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IEEE Access, 2018 Image inpainting, a commonly used image editing technique for filling the mask or missing areas in images, is often adopted to destroy the integrity of images by forgers with ulterior motives.
Xiao Jin +5 more
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Image Inpainting by Hyperbolic Selection of Pixels for Two Dimensional Bicubic Interpolations
, 2017 Image inpainting is a restoration process which has numerous applications. Restoring of scanned old images with scratches, or removing objects in images are some of inpainting applications.
Akbari, Mojtaba +4 more
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Region Normalization for Image Inpainting
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 Feature Normalization (FN) is an important technique to help neural network training, which typically normalizes features across spatial dimensions. Most previous image inpainting methods apply FN in their networks without considering the impact of the corrupted regions of the input image on normalization, e.g. mean and variance shifts.
Tao Yu 0012 +7 more
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