scholarly journals Simulation of a hybrid model for image denoising

2006 ◽  
Author(s):  
R.L. Carino ◽  
I. Banicescu ◽  
H. Lim ◽  
N. Williams ◽  
Seongjai Kim
Keyword(s):  
Image Denoising ◽  
Hybrid Model

scholarly journals A Hybrid Model for Image Denoising Combining Modified Isotropic Diffusion Model and Modified Perona-Malik Model

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 33568-33582 ◽  
Author(s):  
Na Wang ◽  
Yu Shang ◽  
Yang Chen ◽  
Min Yang ◽  
Quan Zhang ◽  
...  
Keyword(s):  
Image Denoising ◽  
Diffusion Model ◽  
Hybrid Model ◽  
Isotropic Diffusion

An Improved Hybrid Model for Molecular Image Denoising

2008 ◽  
Vol 31 (1) ◽  
pp. 73-79 ◽  
Author(s):  
Jeny Rajan ◽  
K. Kannan ◽  
M. R. Kaimal
Keyword(s):  
Image Denoising ◽  
Hybrid Model ◽  
Molecular Image

scholarly journals A Sobel-TV Based Hybrid Model for Robust Image Denoising

2014 ◽  
Vol 05 (08) ◽  
pp. 1310-1316 ◽  
Author(s):  
Jihui Tu ◽  
Bin Yang
Keyword(s):  
Image Denoising ◽  
Hybrid Model ◽  
Robust Image

scholarly journals New Regularization Models for Image Denoising with a Spatially Dependent Regularization Parameter

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Tian-Hui Ma ◽  
Ting-Zhu Huang ◽  
Xi-Le Zhao
Keyword(s):  
Image Denoising ◽  
Hybrid Model ◽  
Numerical Experiments ◽  
Numerical Scheme ◽  
Regularization Parameter ◽  
Alternating Minimization ◽  
Convergence Properties ◽  
Strictly Convex ◽  
Nonconvex Problem ◽  
Minimization Scheme

We consider simultaneously estimating the restored image and the spatially dependent regularization parameter which mutually benefit from each other. Based on this idea, we refresh two well-known image denoising models: the LLT model proposed by Lysaker et al. (2003) and the hybrid model proposed by Li et al. (2007). The resulting models have the advantage of better preserving image regions containing textures and fine details while still sufficiently smoothing homogeneous features. To efficiently solve the proposed models, we consider an alternating minimization scheme to resolve the original nonconvex problem into two strictly convex ones. Preliminary convergence properties are also presented. Numerical experiments are reported to demonstrate the effectiveness of the proposed models and the efficiency of our numerical scheme.

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