Results 31 to 40 of about 116,500 (328)
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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Bayesian demosaicing using Gaussian scale mixture priors with local adaptivity in the dual tree complex wavelet packet transform domain [PDF]
, 2013 In digital cameras and mobile phones, there is an ongoing trend to increase the image resolution, decrease the sensor size and to use lower exposure times. Because smaller sensors inherently lead to more noise and a worse spatial resolution, digital post-
Aelterman, Jan +4 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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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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PET image denoising based on denoising diffusion probabilistic model
European Journal of Nuclear Medicine and Molecular Imaging, 2023 8 ...
Kuang Gong +4 more
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Quantum Boolean image denoising [PDF]
Quantum Information Processing, 2014 A quantum Boolean image processing methodology is presented in this work, with special emphasis in image denoising. A new approach for internal image representation is outlined together with two new interfaces: classical-to-quantum and quantum-to-classical.
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RESIDUAL LEARNING BASED IMAGE DENOISING AND COMPRESSION USING DNCNN
ICTACT Journal on Image and Video Processing, 2022 Image compression has become an essential subfield in image processing for many generations. This should be an effective process with decreasing this amount about a file format through frames unless significantly lowering from an exceptional standard ...
Savaram Shaliniswetha +1 more
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EURASIP Journal on Wireless Communications and Networking, 2021 As an important part of smart city construction, traffic image denoising has been studied widely. Image denoising technique can enhance the performance of segmentation and recognition model and improve the accuracy of segmentation and recognition results.
Chunzhi Wang +4 more
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Adaptive Image Denoising by Targeted Databases [PDF]
, 2014 We propose a data-dependent denoising procedure to restore noisy images. Different from existing denoising algorithms which search for patches from either the noisy image or a generic database, the new algorithm finds patches from a database that ...
Enming Luo +3 more
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Deep Orthogonal Transform Feature for Image Denoising
IEEE Access, 2020 Recently, CNN-based image denoising has been investigated and shows better performance than conventional vision based techniques. However, there are still a couple of limits that are weak partly in restoring image details like textured regions or produce
Yoon-Ho Shin +3 more
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