A Weighted Error Compensation Algorithm for Image Denoising Based on Noise Variance Estimation

2017 ◽  
Author(s):  
Bin Zhou ◽  
Xuemei Duan ◽  
Jun Feng
Keyword(s):  
Image Denoising ◽  
Error Compensation ◽  
Variance Estimation ◽  
Noise Variance ◽  
Compensation Algorithm ◽  
Weighted Error

Denoising Processing Technology for Remote Classimage Transmission Based on Cloud Computing

2014 ◽  
Vol 644-650 ◽  
pp. 4649-4652
Author(s):  
Yan Tang
Keyword(s):  
Cloud Computing ◽  
Image Denoising ◽  
Traditional Method ◽  
Variance Estimation ◽  
Image Transmission ◽  
Speckle Noise ◽  
Processing Technology ◽  
Fusion Method ◽  
Noise Variance ◽  
Practical Applications

Denoising processing technology for remote classroom image transmission is studied. In the traditional method of image denoising, the image after denoisinghave obvious spots, communication is not ideal, noise variance estimation is required in practical applications. This paper presents a MCMC image denoising algorithm based on multi-core, throughremote image transmission fusion method toachieve fast denoising process for remote classroom image transmission. Experimental results show that the algorithm improves the operational efficiency, reduces speckle noise, so that remote image is clearer, and denoising effect is very satisfactory.

Maximum-Likelihood, Magnitude-Based, Amplitude and Noise Variance Estimation

2021 ◽  
pp. 1-1
Author(s):  
Ming-Wei Wu ◽  
Yan Jin ◽  
Yan Li ◽  
Tianyu Song ◽  
Pooi Yuen Kam
Keyword(s):  
Maximum Likelihood ◽  
Variance Estimation ◽  
Noise Variance
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