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A locally adaptive regularization of a hybrid variational model for color image diffusion via integration of diffusion with normalized data. [PDF]
Sci RepArain MB +6 more
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Time-step encoded high-frequency enhanced diffusion model for OCT retinal image denoising. [PDF]
Biomed Opt ExpressYang B +5 more
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Computational Statistics, 2007
Iterative denoising is a data mining technology for analysis of large heterogeneous datasets, e.g., sets of text documents. The result of it is a hierarchical divisive cluster tree with visual representation of each node. The specific feature of this technology is that the features for the clustering are extracted from data at each node of the ...
Giles, Kendall E. +3 more
openaire +1 more source
Iterative denoising is a data mining technology for analysis of large heterogeneous datasets, e.g., sets of text documents. The result of it is a hierarchical divisive cluster tree with visual representation of each node. The specific feature of this technology is that the features for the clustering are extracted from data at each node of the ...
Giles, Kendall E. +3 more
openaire +1 more source
Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing, 2006We address the image denoising problem, where zero-mean white and homogeneous Gaussian additive noise is to be removed from a given image. The approach taken is based on sparse and redundant representations over trained dictionaries.
Michael Elad, M. Aharon
semanticscholar +1 more source
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
International Conference on Learning Representations, 2023We propose \textbf{DMV3D}, a novel 3D generation approach that uses a transformer-based 3D large reconstruction model to denoise multi-view diffusion. Our reconstruction model incorporates a triplane NeRF representation and can denoise noisy multi-view ...
Yinghao Xu +10 more
semanticscholar +1 more source
IEEE Transactions on Image Processing, 2014
Image denoising continues to be an active research topic. Although state-of-the-art denoising methods are numerically impressive and approch theoretical limits, they suffer from visible artifacts.While they produce acceptable results for natural images, human eyes are less forgiving when viewing synthetic images.
Claude, Knaus, Matthias, Zwicker
openaire +2 more sources
Image denoising continues to be an active research topic. Although state-of-the-art denoising methods are numerically impressive and approch theoretical limits, they suffer from visible artifacts.While they produce acceptable results for natural images, human eyes are less forgiving when viewing synthetic images.
Claude, Knaus, Matthias, Zwicker
openaire +2 more sources
IEEE Transactions on Image Processing, 2010
Image denoising has been a well studied problem in the field of image processing. Yet researchers continue to focus attention on it to better the current state-of-the-art. Recently proposed methods take different approaches to the problem and yet their denoising performances are comparable.
Priyam, Chatterjee, Peyman, Milanfar
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Image denoising has been a well studied problem in the field of image processing. Yet researchers continue to focus attention on it to better the current state-of-the-art. Recently proposed methods take different approaches to the problem and yet their denoising performances are comparable.
Priyam, Chatterjee, Peyman, Milanfar
openaire +2 more sources
IEEE Transactions on Image Processing, 2003
Over the past decade, there has been significant interest in fractal coding for the purpose of image compression. However, applications of fractal-based coding to other aspects of image processing have received little attention. We propose a fractal-based method to enhance and restore a noisy image.
Mohsen, Ghazel +2 more
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Over the past decade, there has been significant interest in fractal coding for the purpose of image compression. However, applications of fractal-based coding to other aspects of image processing have received little attention. We propose a fractal-based method to enhance and restore a noisy image.
Mohsen, Ghazel +2 more
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IEEE Transactions on Image Processing, 2014
Most existing state-of-the-art image denoising algorithms are based on exploiting similarity between a relatively modest number of patches. These patch-based methods are strictly dependent on patch matching, and their performance is hamstrung by the ability to reliably find sufficiently similar patches.
Hossein, Talebi, Peyman, Milanfar
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Most existing state-of-the-art image denoising algorithms are based on exploiting similarity between a relatively modest number of patches. These patch-based methods are strictly dependent on patch matching, and their performance is hamstrung by the ability to reliably find sufficiently similar patches.
Hossein, Talebi, Peyman, Milanfar
openaire +2 more sources