Works matching DE "IMAGE denoising"
Results: 1980
Corrected Group Sparse Residual Constraint Model for Image Denoising and Inpainting.
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- Circuits, Systems & Signal Processing, 2025, v. 44, n. 2, p. 1184, doi. 10.1007/s00034-024-02875-z
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A study on UAV target detection and 3D positioning methods based on the improved deformable DETR model and multi-view geometry.
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- Advances in Mechanical Engineering (Sage Publications Inc.), 2025, v. 17, n. 1, p. 1, doi. 10.1177/16878132251315505
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GRGAL: A Grey Relational Generative Adversarial Learning Method for Image Denoising.
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- Journal of Grey System, 2021, v. 33, n. 1, p. 30
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Automatic Dictionary Learning Sparse Representation for Image Denoising.
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- Journal of Grey System, 2018, v. 30, n. 2, p. 57
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Edge preserving image denoising using convolutions and Grey Forecast Model.
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- Journal of Grey System, 2013, v. 25, n. 4, p. 88
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Feature Pooling - A Feature Compression Method Used in Convolutional Neural Networks.
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- Journal of Information Science & Engineering, 2020, v. 36, n. 3, p. 577, doi. 10.6688/JISE.202005_36(3).0007
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Approximation of the Mumford–Shah functional by phase fields of bounded variation.
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- Analysis & Applications, 2021, v. 19, n. 2, p. 183, doi. 10.1142/S0219530520500190
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Algorithmic versatility of SPF-regularization methods.
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- Analysis & Applications, 2021, v. 19, n. 1, p. 43, doi. 10.1142/S0219530520400060
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A Nonlinear Hybrid Diffusion Model for Image Denoising.
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- Macromolecular Symposia, 2023, v. 407, n. 1, p. 1, doi. 10.1002/masy.202100511
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Retraction Note: Intelligent image denoising based on optical imaging equipment in physical education teaching simulation.
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- 2024
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- Correction Notice
Intelligent image denoising based on optical imaging equipment in physical education teaching simulation.
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- Optical & Quantum Electronics, 2024, v. 56, n. 4, p. 1, doi. 10.1007/s11082-023-06151-3
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A refined denoising method for noisy phase-shifting interference fringe patterns.
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- Optical & Quantum Electronics, 2021, v. 53, n. 8, p. 1, doi. 10.1007/s11082-021-03106-4
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FCNet: a deep neural network based on multi-channel feature cascading for image denoising.
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- Journal of Supercomputing, 2024, v. 80, n. 12, p. 17042, doi. 10.1007/s11227-024-06045-5
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Assessing Intel OneAPI capabilities and cloud-performance for heterogeneous computing.
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- Journal of Supercomputing, 2024, v. 80, n. 9, p. 13295, doi. 10.1007/s11227-024-05958-5
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- Article
Color-patterned fabric defect detection algorithm based on triplet attention multi-scale U-shape denoising convolutional auto-encoder.
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- Journal of Supercomputing, 2024, v. 80, n. 4, p. 4451, doi. 10.1007/s11227-023-05639-9
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Development of a novel activation function based on Chebyshev polynomials: an aid for classification and denoising of images.
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- Journal of Supercomputing, 2023, v. 79, n. 18, p. 20515, doi. 10.1007/s11227-023-05466-y
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Image compression and denoising using multiresolution region-based image description scheme.
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- Journal of Supercomputing, 2023, v. 79, n. 4, p. 4243, doi. 10.1007/s11227-022-04806-8
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An optimized hardware design of a two-dimensional guide filter and its application in image denoising.
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- Journal of Supercomputing, 2022, v. 78, n. 6, p. 8445, doi. 10.1007/s11227-021-04044-4
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A new color index for vegetation segmentation and classification.
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- Precision Agriculture, 2021, v. 22, n. 1, p. 179, doi. 10.1007/s11119-020-09735-1
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On the structure of regularization paths for piecewise differentiable regularization terms.
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- Journal of Global Optimization, 2023, v. 85, n. 3, p. 709, doi. 10.1007/s10898-022-01223-2
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A Gauss–Seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems.
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- Journal of Global Optimization, 2020, v. 76, n. 4, p. 863, doi. 10.1007/s10898-019-00819-5
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- Article
Denoising of Scanning Electron Microscope Images Acquired at Rapid Frame Rates for Metrology Measurement.
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- Microscopy & Microanalysis, 2024, v. 30, p. 1, doi. 10.1093/mam/ozae044.207
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Image and Spectrum Image Denoising under the local low Rank Assumption.
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- Microscopy & Microanalysis, 2019, p. 578, doi. 10.1017/S1431927618003380
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Real-time Image Processing and Restoration Prototype for the SEM: Initial Steps.
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- Microscopy & Microanalysis, 2019, p. 516, doi. 10.1017/S1431927618003070
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A machine vision method for measurement of drill tool wear.
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- International Journal of Advanced Manufacturing Technology, 2022, v. 118, n. 9/10, p. 3303, doi. 10.1007/s00170-021-08102-2
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- Article
Image-based porosity classification in Al-alloys by laser metal deposition using random forests.
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- International Journal of Advanced Manufacturing Technology, 2020, v. 110, n. 9/10, p. 2827, doi. 10.1007/s00170-020-05887-6
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- Article
A primal-dual flow for affine constrained convex optimization.
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- ESAIM: Control, Optimisation & Calculus of Variations, 2022, v. 28, p. 1, doi. 10.1051/cocv/2022032
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A comparative analysis of denoising algorithms for extragalactic imaging surveys.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2020, v. 643, p. 1, doi. 10.1051/0004-6361/201936278
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Solar image denoising with convolutional neural networks.
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- Astronomy & Astrophysics / Astronomie et Astrophysique, 2019, v. 629, p. 1, doi. 10.1051/0004-6361/201936069
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Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer.
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- Bioinformatics, 2022, v. 38, n. 7, p. 2022, doi. 10.1093/bioinformatics/btac052
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S3V2-IDEAS: a package for normalizing, denoising and integrating epigenomic datasets across different cell types.
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- Bioinformatics, 2021, v. 37, n. 18, p. 3011, doi. 10.1093/bioinformatics/btab148
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- Article
Effectual Augmentation of Glaucoma Prediction in Retinal Fundus Images using Hybrid Level Fusion of Image Pre-Processing Techniques.
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- Fusion: Practice & Applications, 2024, v. 14, n. 1, p. 93, doi. 10.54216/FPA.140108
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Fingerprint recognition under the influence of image sensor ageing.
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- IET Biometrics (Wiley-Blackwell), 2017, v. 6, n. 4, p. 245, doi. 10.1049/iet-bmt.2016.0106
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- Article
Joint image dehazing and denoising for single haze image enhancement.
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- Electronics Letters (Wiley-Blackwell), 2024, v. 60, n. 22, p. 1, doi. 10.1049/ell2.70071
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- Article
Research on SAR image denoising method based on feature extraction.
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- Electronics Letters (Wiley-Blackwell), 2024, v. 60, n. 8, p. 1, doi. 10.1049/ell2.13180
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3D segmentation denoising technology of millimeter wave human body security imaging.
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- Electronics Letters (Wiley-Blackwell), 2024, v. 60, n. 7, p. 1, doi. 10.1049/ell2.13168
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Cut2Self: A single image based self‐supervised denoiser.
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- Electronics Letters (Wiley-Blackwell), 2023, v. 59, n. 23, p. 1, doi. 10.1049/ell2.13028
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An underwater image enhancement model combining physical priors and residual network.
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- Electronics Letters (Wiley-Blackwell), 2023, v. 59, n. 21, p. 1, doi. 10.1049/ell2.13001
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SAR‐IRGF: A novel improved rolling guidance filter for the synthetic aperture radar image.
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- Electronics Letters (Wiley-Blackwell), 2022, v. 58, n. 22, p. 828, doi. 10.1049/ell2.12628
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Toward developing tangling noise removal and blind inpainting mechanism based on total variation in image processing.
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- Electronics Letters (Wiley-Blackwell), 2021, v. 57, n. 11, p. 436, doi. 10.1049/ell2.12148
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- Article
Infrared and visible image fusion based on non-subsampled shearlet transform, regional energy, and co-occurrence filtering.
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- Electronics Letters (Wiley-Blackwell), 2020, v. 56, n. 15, p. 761, doi. 10.1049/el.2020.0557
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Improving deep image denoising using pseudo-ground-truth images.
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- Electronics Letters (Wiley-Blackwell), 2019, v. 55, n. 16, p. 892, doi. 10.1049/el.2019.1605
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Blind deblurring using coupled convolutional sparse coding regularisation for noisy-blurry images.
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- Electronics Letters (Wiley-Blackwell), 2018, v. 54, n. 14, p. 874, doi. 10.1049/el.2018.0901
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- Article
Hiding Full-Color Images into Audio with Visual Enhancement via Residual Networks.
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- Cryptography (2410-387X), 2023, v. 7, n. 4, p. 47, doi. 10.3390/cryptography7040047
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- Article
A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT Images.
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- Tomography: A Journal for Imaging Research, 2023, v. 9, n. 4, p. 1286, doi. 10.3390/tomography9040102
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Statistical Interior Tomography via L 1 Norm Dictionary Learning without Assuming an Object Support.
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- Tomography: A Journal for Imaging Research, 2022, v. 8, n. 5, p. 2218, doi. 10.3390/tomography8050186
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- Article
AI Denoising Improves Image Quality and Radiological Workflows in Pediatric Ultra-Low-Dose Thorax Computed Tomography Scans.
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- Tomography: A Journal for Imaging Research, 2022, v. 8, n. 4, p. 1678, doi. 10.3390/tomography8040140
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Evaluating the Quality of Optimal MRCP Image Using RT-2D-Compressed SENSE(CS)Turbo Spin Echo: Comparing Respiratory Triggering(RT)-2D-SENSE Turbo Spin Echo and Breath Hold-2D-Single-Shot Turbo Spin Echo.
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- Tomography: A Journal for Imaging Research, 2022, v. 8, n. 3, p. 1374, doi. 10.3390/tomography8030111
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A GRADIENT SYSTEM BASED ON ANISOTROPIC MONOCHROME IMAGE PROCESSING WITH ORIENTATION AUTO-ADJUSTMENT.
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- Advances in Mathematical Sciences & Applications, 2024, v. 33, n. 2, p. 755
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- Article
Image Denoising of Low-Dose PET Mouse Scans with Deep Learning: Validation Study for Preclinical Imaging Applicability.
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- Molecular Imaging & Biology, 2024, v. 26, n. 1, p. 101, doi. 10.1007/s11307-023-01866-x
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