Cargando…
Video Denoising Based on a Spatiotemporal Kalman-Bilateral Mixture Model
We propose a video denoising method based on a spatiotemporal Kalman-bilateral mixture model to reduce the noise in video sequences that are captured with low light. To take full advantage of the strong spatiotemporal correlations of neighboring frames, motion estimation is first performed on video...
Autores principales: | Zuo, Chenglin, Liu, Yu, Tan, Xin, Wang, Wei, Zhang, Maojun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3835876/ https://www.ncbi.nlm.nih.gov/pubmed/24298217 http://dx.doi.org/10.1155/2013/438147 |
Ejemplares similares
-
Green Channel Guiding Denoising on Bayer Image
por: Tan, Xin, et al.
Publicado: (2014) -
Temperature Sensor Denoising Algorithm Based on Curve Fitting and Compound Kalman Filtering
por: Zhang, Yang, et al.
Publicado: (2020) -
Two-Stage CNN Model for Joint Demosaicing and Denoising of Burst Bayer Images
por: Tan, Hanlin, et al.
Publicado: (2022) -
Extended-Kalman-filter-based dynamic mode decomposition for simultaneous system identification and denoising
por: Nonomura, Taku, et al.
Publicado: (2019) -
AMA- and RWE- Based Adaptive Kalman Filter for Denoising Fiber Optic Gyroscope Drift Signal
por: Yang, Gongliu, et al.
Publicado: (2015)