Cargando…
Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring
Single-image blind deblurring for imaging sensors in the Internet of Things (IoT) is a challenging ill-conditioned inverse problem, which requires regularization techniques to stabilize the image restoration process. The purpose is to recover the underlying blur kernel and latent sharp image from on...
Autores principales: | Xiong, Naixue, Liu, Ryan Wen, Liang, Maohan, Wu, Di, Liu, Zhao, Wu, Huisi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298747/ https://www.ncbi.nlm.nih.gov/pubmed/28106764 http://dx.doi.org/10.3390/s17010174 |
Ejemplares similares
-
Total Variation with Overlapping Group Sparsity for Image Deblurring under Impulse Noise
por: Liu, Gang, et al.
Publicado: (2015) -
Noise-Adaptive Non-Blind Image Deblurring
por: Slutsky, Michael
Publicado: (2022) -
Application of Blind Deblurring Reconstruction Technique to SPECT Imaging
por: Li, Heng, et al.
Publicado: (2007) -
Blind Deblurring Reconstruction Technique with Applications in PET Imaging
por: Li, Heng, et al.
Publicado: (2009) -
Blind UAV Images Deblurring Based on Discriminative Networks
por: Wang, Ruihua, et al.
Publicado: (2018)