Cargando…
Poisson–Gaussian Noise Analysis and Estimation for Low-Dose X-ray Images in the NSCT Domain
The noise distribution of images obtained by X-ray sensors in low-dosage situations can be analyzed using the Poisson and Gaussian mixture model. Multiscale conversion is one of the most popular noise reduction methods used in recent years. Estimation of the noise distribution of each subband in the...
Autores principales: | Lee, Sangyoon, Lee, Min Seok, Kang, Moon Gi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5948630/ https://www.ncbi.nlm.nih.gov/pubmed/29596335 http://dx.doi.org/10.3390/s18041019 |
Ejemplares similares
-
Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images
por: Yang, Sejung, et al.
Publicado: (2015) -
Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain
por: Xia, Jingming, et al.
Publicado: (2018) -
Log-Gabor Energy Based Multimodal Medical Image Fusion in NSCT Domain
por: Yang, Yong, et al.
Publicado: (2014) -
Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain
por: Wang, Hongmei
Publicado: (2018) -
An Image Fusion Method Based on Sparse Representation and Sum Modified-Laplacian in NSCT Domain
por: Li, Yuanyuan, et al.
Publicado: (2018)