Passive Millimeter-wave Image Denoising Based on Improved Algorithm of Non-local mean

2012 ◽  
Vol 4 (10) ◽  
pp. 158-164
Author(s):  
Yuanjiang LI ◽  
Yuehua LI
Keyword(s):  
Image Denoising ◽  
Millimeter Wave ◽  
Local Mean ◽  
Non Local ◽  
Wave Image ◽  
Improved Algorithm

Passive Millimeter Wave Image Denoising Based on Improved Version of BM3D

2012 ◽  
Vol 4 (22) ◽  
pp. 106-113
Author(s):  
Yuanjiang LI ◽  
Yuehua LI ◽  
Hongyan SU ◽  
Zhaoyang LI ◽  
Qinghui Fan ◽  
...  
Keyword(s):  
Image Denoising ◽  
Millimeter Wave ◽  
Wave Image

scholarly journals Non-local mean filtering algorithm based on deep learning

2018 ◽  
Vol 232 ◽  
pp. 03025
Author(s):  
Baozhong Liu ◽  
Jianbin Liu
Keyword(s):  
Deep Learning ◽  
Noise Reduction ◽  
Image Denoising ◽  
Signal To Noise Ratio ◽  
Denoising Method ◽  
Filtering Algorithm ◽  
Local Mean ◽  
Non Local ◽  
Reduction Effect ◽  
Mean Filtering

Aimed at the problem that the traditional image denoising algorithm is not effective in noise reduction, a new image denoising method is proposed. The method combines deep learning and non-local mean filtering algorithms to denoise the noisy image to obtain better noise reduction effect. By comparing with Gaussian filtering algorithm, median filtering algorithm, bilateral filtering algorithm and early non-local mean filtering algorithm, the noise reduction effect of the new algorithm is better than the traditional method and the peak signal to noise ratio is compared with the early non-local mean algorithm. The performance is better.

scholarly journals An adaptive bidirectional diffusion process for passive millimeter-wave image denoising and enhancement

2012 ◽  
Vol 30 (6) ◽  
pp. 556-560 ◽  
Author(s):  
Jin-Tao XIONG ◽  
Qian-Song SUN ◽  
Liang-Chao LI ◽  
Jian-Yu YANG
Keyword(s):  
Diffusion Process ◽  
Image Denoising ◽  
Millimeter Wave ◽  
Wave Image

PASSIVE MILLIMETER WAVE IMAGE DENOISING BASED ON ADAPTIVE MANIFOLDS

2014 ◽  
Vol 57 ◽  
pp. 63-73 ◽  
Author(s):  
Shujin Zhu ◽  
Yuehua Li ◽  
Jianfei Chen ◽  
Yuanjiang Li
Keyword(s):  
Image Denoising ◽  
Millimeter Wave ◽  
Wave Image

A Non-Local Image Denoising Technique Using Adaptive Filter Parameter

2014 ◽  
Vol 556-562 ◽  
pp. 4839-4842
Author(s):  
Song Yuan Tang
Keyword(s):  
Image Denoising ◽  
Gaussian Noise ◽  
Additive White Gaussian Noise ◽  
Wiener Filter ◽  
White Gaussian Noise ◽  
Filter Parameter ◽  
Iterative Computation ◽  
Local Mean ◽  
Non Local

This paper proposes a method to obtain the optimal filter parameter of the non-local mean (NLM) algorithm. The parameter is assumed to be a function of the variance of the additive white Gaussian noise and is adaptive estimated. The initialization of the variance of the additive white Gaussian noise is estimated by Wiener filter. Then the NLM filter is used to adaptively estimate the noise variance. The image denoising is an iterative computation till the parameter convergence. Experiments show that the proposed method can improve the quality of the denoised images efficiently.

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