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All-optical image denoising using a diffractive visual processor
Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising...
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Intelligent image denoising based on optical imaging equipment in physical education teaching simulation
The aim of this study is to improve the image quality in physical education simulation by using intelligent image denoising technology based on...
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Unsupervised model-driven neural network based image denoising for transmission line monitoring
With the expansion of smart grid and Internet of things (IoT) technology, edge computing has a wide variety of applications in these domains. The...
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Automatic Decision Undertaking on Expedience of Image Denoising Based on Filter Efficiency Prediction
Image denoising (filtering) is one of the most important procedures in image pre-processing chain. The aim of applying denoising is to reduce the...
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Effect of network architectures in multi-agent reinforcement learning for denoising digital tomosynthesis images
A supervised-learning strategy has showed outstanding performance in various fields. However, the application of the supervised learning for...
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Denoising quantum mixed states using quantum autoencoders
The presence of noise affects the process of quantum computing and quantum communication, and quantum autoencoders (QAEs) provide a new solution for...
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Comparison of filtered back projection with fast non-local means denoising approach and iterative reconstruction in pediatric chest CT image using 3D printed lung nodules
This study aimed to quantitatively analyze the efficiency of the fast non-local means (FNLM) filter in increasing the nodule detection sensitivity in...
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Optimized shuffle attention based Lidar signal denoising and temperature retrievals in the middle atmosphere
Lidar (Light Detection and Ranging), utilizes laser based remote sensing data to measure distances and properties of objects by analysing reflected...
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Color image restoration using DSS-NL-map**-based multi-noiseNet CNN model
Image denoising faces significant challenges, arising from the sources of noise. Specifically, Gaussian, impulse, speckle noises, salt and pepper...
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Hformer: highly efficient vision transformer for low-dose CT denoising
In this paper, we propose Hformer, a novel supervised learning model for low-dose computer tomography (LDCT) denoising. Hformer combines the...
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Feasibility study of block-matching and 3D filtering denoising algorithm in multi-material decomposition technique for dual-energy computed tomography
AS a medical imaging technology, dual-energy computed tomography (DECT) has attracted attention owing to its higher accuracy in terms of material...
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An Image Denoising Technique using Quantum Wavelet Transform
The amalgamation of ‘Quantum computing’ with image processing represents the various ways of handling images for different purposes. In this paper,an...
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XRCT image processing for sand fabric reconstruction
We explore computationally efficient techniques to improve the XRCT image processing of low resolution and very noisy images for use in...
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3D robust anisotropic diffusion filtering algorithm for sparse view neutron computed tomography 3D image reconstruction
The most critical part of a neutron computed tomography (NCT) system is the image processing algorithm, which directly affects the quality and speed...
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Research on denoising of joint detection signal of water quality with multi-parameter based on IEEMD
An improved ensemble empirical mode decomposition (IEEMD) is suggested to process water quality spectral signals in order to address the issue that...
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Pulsar Signal Denoising
The signal emitted by the pulsar becomes very weak after reaching Earth, and the signal is almost drowned in extremely strong noise.
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Adaptive denoising for strong noisy images by using positive effects of noise
Image denoising is the key step for image preprocessing. In particular, denoising of a strong noisy image is truly necessary, even though it might be...
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First-order primal–dual algorithm for sparse-view neutron computed tomography-based three-dimensional image reconstruction
Neutron computed tomography (NCT) is widely used as a noninvasive measurement technique in nuclear engineering, thermal hydraulics, and cultural...
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Application of dynamic simulation technology based on image detail enhancement algorithm in urban 3D landscape
With the acceleration of urban development and the increasing demand for beautiful cities, higher requirements have been put forward for the...
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Sparsity-Based Thresholding Criterion for Spurious Echo Removal and Denoising Magnetic Resonance Spectra Using Rational-Dilation Wavelet Transform
Biological signals such as magnetic resonance spectroscopy signals are susceptible to noise and artifacts. The information obtained from these...