Results 21 to 30 of about 17,318 (265)
A multiresolution framework for local similarity based image denoising [PDF]
, 2012 In this paper, we present a generic framework for denoising of images corrupted with additive white Gaussian noise based on the idea of regional similarity.
Rajpoot, Nasir M. (Nasir Mahmood) +1 more
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A Geometric Structure Based Non Local Mean Image Denoising Algorithm
IEEE Access, 2023 With the widespread application of image recognition technology, the commercial application value of image denoising is gradually increasing. To optimize the performance of non local mean image denoising algorithms, the similarity of image blocks in this
Lei Shi
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WINNet: wavelet-inspired invertible network for image denoising [PDF]
, 2021 Image denoising aims to restore a clean image from an observed noisy one. Model-based image denoising approaches can achieve good generalization ability over different noise levels and are with high interpretability. Learning-based approaches are able to
Huang, Jun-Jie, Dragotti, Pier Luigi
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Parallel Implementation of Wavelet-based Image Denoising on Programmable PC-grade Graphics Hardware [PDF]
, 2010 The Discrete Wavelet Transform (DWT) has been extensively used for image compression and denoising in the areas of image processing and computer vision. However, the intensive computation of DWT due to its multilevel data decomposition and reconstruction
Xu, Zhijie, Su, Yang
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Boosting of Image Denoising Algorithms [PDF]
SIAM Journal on Imaging Sciences, 2015 33 pages, 9 figures, 3 tables, submitted to SIAM Journal on Imaging ...
Yaniv Romano, Michael Elad
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Hittite Journal of Science and Engineering, 2023 The main goal of the image denoising is to recover the original image while attaining the structure of the image as much as possible. When the image denoising task is blind, we have no a priori information about the original image.
Kenan Gençol
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Edge-aware image denoising algorithm
Journal of Algorithms & Computational Technology, 2018 The key of image denoising algorithms is to preserve the details of the original image while denoising the noise in the image. The existing algorithms use the external information to better preserve the details of the image, but the use of external ...
Xiangning Zhang, Yan Yang, Lening Lin
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Image Denoising Using Hybrid Transforms [PDF]
Engineering and Technology Journal, 2007 In this paper a new family of transformation for image denoising ispresented, Multiridgelet and Walidlet transforms, which have been proposedas alternatives to Discrete Wavelet and Multiwavelet transforms.Walidlet transform is an intelligent tool for ...
Walid Mahmoud, Raghad Jassim
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Denoising of Image Gradients and Total Generalized Variation Denoising [PDF]
Journal of Mathematical Imaging and Vision, 2018 We revisit total variation denoising and study an augmented model where we assume that an estimate of the image gradient is available. We show that this increases the image reconstruction quality and derive that the resulting model resembles the total generalized variation denoising method, thus providing a new motivation for this model.
Birgit Komander +2 more
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Semi-Supervised Learning-Based Image Denoising for Big Data
IEEE Access, 2020 In this paper, the research of image noise reduction based on semi-supervised learning is carried out, and the neural network is used to reduce the noise of the image, so as to achieve more stable and good image display ability.
Kun Zhang, Kai Chen
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