Research on the influence of local image denoising algorithm on photon-noise transfer method

Author(s):  
hang xu ◽  
yingchun xu ◽  
Lijiao He ◽  
weiji xu ◽  
chong liu ◽  
...  
2013 ◽  
Vol 411-414 ◽  
pp. 1164-1169 ◽  
Author(s):  
Zhi Ming Wang ◽  
Hong Bao

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.


2021 ◽  
Vol 33 (4) ◽  
pp. 1343
Author(s):  
Liming Huang ◽  
Ping Wang ◽  
Cheng-Fu Yang ◽  
Hsien-Wei Tseng

Author(s):  
Peng Qiao ◽  
Yong Dou ◽  
Wensen Feng ◽  
Rongchun Li ◽  
Yunjin Chen

2011 ◽  
Vol 32 (16) ◽  
pp. 2145-2149 ◽  
Author(s):  
Alvaro Pardo

PLoS ONE ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. e0208503 ◽  
Author(s):  
Shuting Cai ◽  
Kun Liu ◽  
Ming Yang ◽  
Jianliang Tang ◽  
Xiaoming Xiong ◽  
...  

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