Collaborative sparse priors for multi-view ATR

2018 ◽  
Author(s):  
Xuelu Li ◽  
Vishal Monga
Keyword(s):  
Sparse Priors

scholarly journals A Shearlets-Based Method for Rain Removal from Single Images

2019 ◽  
Vol 9 (23) ◽  
pp. 5137 ◽  
Author(s):  
Guomin Sun ◽  
Jinsong Leng ◽  
Carlo Cattani
Keyword(s):  
Optimal Solution ◽  
Single Image ◽  
Split Bregman ◽  
Global Optimal Solution ◽  
Rain Removal ◽  
Rain Drops ◽  
Global Optimal ◽  
Removal Model ◽  
Split Bregman Algorithm ◽  
Sparse Priors

This work focuses on the problem of rain removal from a single image. The directional multilevel system, Shearlets, is used to describe the intrinsic directional and structure sparse priors of rain streaks and the background layer. In this paper, a Shearlets-based convex rain removal model is proposed, which involves three sparse regularizers: including the sparse regularizer of rain streaks and two sparse regularizers of the Shearlets transform of background layer in the rain drops’ direction and the Shearlets transform of rain streaks in the perpendicular direction. The split Bregman algorithm is utilized to solve the proposed convex optimization model, which ensures the global optimal solution. Comparison tests with three state-of-the-art methods are implemented on synthetic and real rainy images, which suggests that the proposed method is efficient both in rain removal and details preservation of the background layer.

Multi-frame blind deconvolution using sparse priors

2012 ◽  
Vol 285 (9) ◽  
pp. 2276-2288 ◽  
Author(s):  
Wende Dong ◽  
Huajun Feng ◽  
Zhihai Xu ◽  
Qi Li
Keyword(s):  
Blind Deconvolution ◽  
Sparse Priors

Multi-Channel Linear Prediction-Based Speech Dereverberation With Sparse Priors

2015 ◽  
Vol 23 (9) ◽  
pp. 1509-1520 ◽  
Author(s):  
Ante Jukic ◽  
Toon van Waterschoot ◽  
Timo Gerkmann ◽  
Simon Doclo
Keyword(s):  
Linear Prediction ◽  
Speech Dereverberation ◽  
Sparse Priors
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