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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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PET image denoising based on denoising diffusion probabilistic model [PDF]
European Journal of Nuclear Medicine and Molecular Imaging, 2022 Purpose Due to various physical degradation factors and limited counts received, PET image quality needs further improvements. The denoising diffusion probabilistic model (DDPM) was a distribution learning-based model, which tried to transform a normal ...
Kuang Gong +4 more
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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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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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Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review [PDF]
Computer Vision and Image Understanding, 2023 The advent of deep learning has brought a revolutionary transformation to image denoising techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised methods in real-world scenarios remains formidable, necessitating the ...
Dan Zhang +5 more
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Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration [PDF]
Trans. Mach. Learn. Res., 2023 Inversion by Direct Iteration (InDI) is a new formulation for supervised image restoration that avoids the so-called"regression to the mean"effect and produces more realistic and detailed images than existing regression-based methods.
M. Delbracio, P. Milanfar
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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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Transfer CLIP for Generalizable Image Denoising [PDF]
Computer Vision and Pattern RecognitionImage denoising is a fundamental task in computer vision. While prevailing deep learning-based supervised and self-supervised methods have excelled in eliminating in-distribution noise, their susceptibility to out-of-distribution (OOD) noise remains a ...
Junting Cheng, Dong Liang, Shan Tan
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Research on Image Denoising in Edge Detection Based on Wavelet Transform
Applied Sciences, 2023 Photographing images is used as a common detection tool during the process of bridge maintenance. The edges in an image can provide a lot of valuable information, but the detection and extraction of edge details are often affected by the image noise ...
Ning You +3 more
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Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 Image denoising is a fundamental problem in computational photography, where achieving high perception with low distortion is highly demanding. Current methods either struggle with perceptual quality or suffer from significant distortion.
Tong Li +5 more
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