A fast non-local image denoising algorithm

2008 ◽  
Author(s):  
A. Dauwe ◽  
B. Goossens ◽  
H. Q. Luong ◽  
W. Philips
Keyword(s):  
Image Denoising ◽  
Non Local ◽  
Local Image

A New Regularization Model Based on Non-Local Means for Image Deblurring

2013 ◽  
Vol 411-414 ◽  
pp. 1164-1169 ◽  
Author(s):  
Zhi Ming Wang ◽  
Hong Bao
Keyword(s):  
Image Denoising ◽  
Processing Speed ◽  
Operator Splitting ◽  
Image Deblurring ◽  
Local Similarity ◽  
Model Based ◽  
Local Means ◽  
Ill Posed ◽  
Non Local ◽  
Local Image

Image deblurring with noise is a typical ill-posed problem needs regularization. Various regularization models were proposed during several decades study, such as Tikhonov and TV. A new regularization model based non-local similarity constrains is proposed in this paper, which used l2 non-local norms and could be easily solved by fast non-local image denoising algorithm. By combining with Bregmanrized operator splitting (BOS) algorithm, a fast and efficient iterative three step image deblurring scheme is given. Experimental results show that proposed regularization model obtained better results on ten common test images than other similar regularization model including newly proposed NLTV regularization, both in deblurring performance (PSNR and MSSIM) and processing speed.

scholarly journals Learning Non-local Image Diffusion for Image Denoising

2017 ◽  
Author(s):  
Peng Qiao ◽  
Yong Dou ◽  
Wensen Feng ◽  
Rongchun Li ◽  
Yunjin Chen
Keyword(s):  
Image Denoising ◽  
Image Diffusion ◽  
Non Local ◽  
Local Image

Analysis of non-local image denoising methods

2011 ◽  
Vol 32 (16) ◽  
pp. 2145-2149 ◽  
Author(s):  
Alvaro Pardo
Keyword(s):  
Image Denoising ◽  
Non Local ◽  
Local Image

scholarly journals A new development of non-local image denoising using fixed-point iteration for non-convex ℓp sparse optimization

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0208503 ◽  
Author(s):  
Shuting Cai ◽  
Kun Liu ◽  
Ming Yang ◽  
Jianliang Tang ◽  
Xiaoming Xiong ◽  
...  
Keyword(s):  
Fixed Point ◽  
Image Denoising ◽  
Sparse Optimization ◽  
Fixed Point Iteration ◽  
New Development ◽  
Non Local ◽  
Local Image
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