Cargando…

A Denoising Scheme for Randomly Clustered Noise Removal in ICCD Sensing Image

An Intensified Charge-Coupled Device (ICCD) image is captured by the ICCD image sensor in extremely low-light conditions. Its noise has two distinctive characteristics. (a) Different from the independent identically distributed (i.i.d.) noise in natural image, the noise in the ICCD sensing image is...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Fei, Wang, Yibin, Yang, Meng, Zhang, Xuetao, Zheng, Nanning
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2017
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336087/ https://www.ncbi.nlm.nih.gov/pubmed/28134759 http://dx.doi.org/10.3390/s17020233

Ejemplares similares

A Denoising Method for Randomly Clustered Noise in ICCD Sensing Images Based on Hypergraph Cut and Down Sampling
por: Yang, Meng, et al.
Publicado: (2017)

Time-of-Flight Imaging at 10 ps Resolution with an ICCD Camera
por: Cester, Lucrezia, et al.
Publicado: (2019)

An ICCD camera-based time-domain ultrasound-switchable fluorescence imaging system
por: Yu, Shuai, et al.
Publicado: (2019)

Removal of high density Gaussian noise in compressed sensing MRI reconstruction through modified total variation image denoising method()
por: Zhu, Yonggui, et al.
Publicado: (2020)

Functional tomography using a time-gated ICCD camera
por: Zhao, Qing, et al.
Publicado: (2011)

Recent trends in intelligent computing, communication and devices: proceedings of ICCD 2018
por: Jain, Vipul, et al.
Publicado: (2019)

A cluster randomized controlled trial of the effectiveness and cost-effectiveness of Intermediate Care Clinics for Diabetes (ICCD): study protocol for a randomized controlled trial
por: Armstrong, Natalie, et al.
Publicado: (2012)

Evaluation of the Clinical and Cost Effectiveness of Intermediate Care Clinics for Diabetes (ICCD): A Multicentre Cluster Randomised Controlled Trial
por: Wilson, Andrew, et al.
Publicado: (2014)

CDAE: A Cascade of Denoising Autoencoders for Noise Reduction in the Clustering of Single-Particle Cryo-EM Images
por: Lei, Houchao, et al.
Publicado: (2021)

Denoising Vanilla Autoencoder for RGB and GS Images with Gaussian Noise
por: Miranda-González, Armando Adrián, et al.
Publicado: (2023)

Efficient Lossy Compression for Compressive Sensing Acquisition of Images in Compressive Sensing Imaging Systems
por: Li, Xiangwei, et al.
Publicado: (2014)

ICCD camera technology with constant illumination source and possibilities for application in multiwavelength analytical ultracentrifugation
por: Pearson, Joseph, et al.
Publicado: (2018)

Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images
por: Wang, Feng, et al.
Publicado: (2020)

Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer
por: Li, Hongjia, et al.
Publicado: (2022)

Seismic Random Noise Denoising Using Mini-Batch Multivariate Variational Mode Decomposition
por: Wu, Guoning, et al.
Publicado: (2022)

Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network
por: Liu, Yang, et al.
Publicado: (2022)

Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction
por: Alkinani, Monagi H., et al.
Publicado: (2017)

Application of Multiple-Optimization Filtering Algorithm in Remote Sensing Image Denoising
por: Zhang, Xuelin, et al.
Publicado: (2023)

Adversarial Gaussian Denoiser for Multiple-Level Image Denoising
por: Khan, Aamir, et al.
Publicado: (2021)

Non-Local Mean Denoising Algorithm Based on Fractional Compact Finite Difference Scheme Effectively Reduces Speckle Noise in Optical Coherence Tomography Images
por: Chen, Huaiguang, et al.
Publicado: (2022)

Brain MR image denoising for Rician noise using pre-smooth non-local means filter
por: Yang, Jian, et al.
Publicado: (2015)

Region-Based Segmentation and Wiener Pilot-Based Novel Amoeba Denoising Scheme for CT Imaging
por: Talha, Syed Muhammad Umar, et al.
Publicado: (2020)

Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit
por: Li, Xinyang, et al.
Publicado: (2022)

Deflectometry and image denoising
por: Komander, Birgit
Publicado: (2019)

Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering
por: Jia, Hongbin, et al.
Publicado: (2022)

Image Denoising Using a Compressive Sensing Approach Based on Regularization Constraints
por: Mahdaoui, Assia El, et al.
Publicado: (2022)

A Second-Order Method for Removing Mixed Noise from Remote Sensing Images
por: Zhou, Ying, et al.
Publicado: (2023)

CT and MRI Medical Image Fusion Using Noise-Removal and Contrast Enhancement Scheme with Convolutional Neural Network
por: Bhutto, Jameel Ahmed, et al.
Publicado: (2022)

An integrated EMD adaptive threshold denoising method for reduction of noise in ECG
por: Zhang, Miao, et al.
Publicado: (2020)

Denoising Using Noise2Void for Low-Field Magnetic Resonance Imaging: A Phantom Study
por: Kojima, Shinya, et al.
Publicado: (2022)

Overcoming Periodic Stripe Noise in Infrared Linear Array Images: The Fourier-Assisted Correlative Denoising Method
por: Chen, Weicong, et al.
Publicado: (2023)

Multicomponent MR Image Denoising
por: Manjón, José V., et al.
Publicado: (2009)

Noise-Aware and Light-Weight VLSI Design of Bilateral Filter for Robust and Fast Image Denoising in Mobile Systems
por: Jang, Sung-Joon, et al.
Publicado: (2020)

DFusion: Denoised TSDF Fusion of Multiple Depth Maps with Sensor Pose Noises
por: Niu, Zhaofeng, et al.
Publicado: (2022)

Efficient learning representation of noise-reduced foam effects with convolutional denoising networks
por: Kim, Jong-Hyun, et al.
Publicado: (2022)

IMC-Denoise: a content aware denoising pipeline to enhance Imaging Mass Cytometry
por: Lu, Peng, et al.
Publicado: (2023)

A novel method to remove impulse noise from atomic force microscopy images based on Bayesian compressed sensing
por: Zhang, Yingxu, et al.
Publicado: (2019)

Brief review of image denoising techniques
por: Fan, Linwei, et al.
Publicado: (2019)

Edge-Preserving Denoising of Image Sequences
por: Yi, Fan, et al.
Publicado: (2021)

Comparison of noise estimation methods used in denoising (99m)Tc-sestamibi parathyroid images using wavelet transform
por: Pandey, Anil Kumar, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_6aico0bka2dd8orsfrmledq9bs