Accurate image noise level estimation by high order polynomial local surface approximation and statistical inference

2014 ◽  
Author(s):  
Tingting Kou ◽  
Lei Yang ◽  
Yi Wan
Keyword(s):  
Statistical Inference ◽  
Noise Level ◽  
Image Noise ◽  
High Order ◽  
Local Surface ◽  
Surface Approximation ◽  
Noise Level Estimation ◽  
Order Polynomial

scholarly journals Image Noise Level Estimation for Rice Noise Based on Extended ELM Neural Network Training Algorithm

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 1943-1951 ◽  
Author(s):  
Xiaohui Yang ◽  
Kaiwei Xu ◽  
Shaoping Xu ◽  
Peter Xiaoping Liu
Keyword(s):  
Neural Network ◽  
Noise Level ◽  
Image Noise ◽  
Neural Network Training ◽  
Training Algorithm ◽  
Noise Level Estimation ◽  
Network Training

Single Image Noise Level Estimation Using Dark Channel Prior

2019 ◽  
Author(s):  
Aziz Berkay Yesilyurt ◽  
Aybuke Erol ◽  
Fatih Kamisli ◽  
A. Aydin Alatan
Keyword(s):  
Noise Level ◽  
Image Noise ◽  
Dark Channel Prior ◽  
Single Image ◽  
Noise Level Estimation ◽  
Dark Channel

Image noise level estimation based on higher-order statistics

2016 ◽  
Vol 76 (2) ◽  
pp. 2379-2397 ◽  
Author(s):  
Mostafa Mehdipour Ghazi ◽  
Hakan Erdogan
Keyword(s):  
Order Statistics ◽  
Noise Level ◽  
Higher Order ◽  
Image Noise ◽  
Higher Order Statistics ◽  
Noise Level Estimation

Image noise level estimation based on a new adaptive superpixel classification

2014 ◽  
Author(s):  
Peng Fu ◽  
Changyang Li ◽  
Quansen Sun ◽  
Weidong Cai ◽  
David Dagan Feng
Keyword(s):  
Noise Level ◽  
Image Noise ◽  
Noise Level Estimation

scholarly journals Training Methods for Image Noise Level Estimation on Wavelet Components

2004 ◽  
Vol 2004 (16) ◽  
Author(s):  
A. De Stefano ◽  
P.R. White ◽  
W.B. Collis
Keyword(s):  
Noise Level ◽  
Image Noise ◽  
Training Methods ◽  
Noise Level Estimation

Image Noise Level Estimation by Principal Component Analysis

2013 ◽  
Vol 22 (2) ◽  
pp. 687-699 ◽  
Author(s):  
S. Pyatykh ◽  
J. Hesser ◽  
Lei Zheng
Keyword(s):  
Principal Component Analysis ◽  
Noise Level ◽  
Principal Component ◽  
Component Analysis ◽  
Image Noise ◽  
Noise Level Estimation

scholarly journals Methods for image noise level estimation

2021 ◽  
Vol 5 (45) ◽  
pp. 713-720
Author(s):  
A.I. Novikov ◽  
A.V. Pronkin
Keyword(s):  
Image Analysis ◽  
Computational Complexity ◽  
White Noise ◽  
Noise Level ◽  
Image Noise ◽  
New Method ◽  
Difference Operators ◽  
Noise Level Estimation ◽  
Block Methods

The article presents a method for estimating the level of discrete white noise in an image, based on the use of linear difference operators with a vector mask. Two variants of a new method for estimating the noise level are proposed, which differ in the accuracy of the obtained estimates and computational complexity. The first version of the method can be attributed to the class of block methods, whereas the second one is intended for the rapid image analysis and is based on processing a small number of rows or columns of an image.

Single-Image Noise Level Estimation for Blind Denoising

2013 ◽  
Vol 22 (12) ◽  
pp. 5226-5237 ◽  
Author(s):  
Xinhao Liu ◽  
Masayuki Tanaka ◽  
Masatoshi Okutomi
Keyword(s):  
Noise Level ◽  
Image Noise ◽  
Single Image ◽  
Noise Level Estimation

An Efficient Statistical Method for Image Noise Level Estimation

2015 ◽  
Author(s):  
Guangyong Chen ◽  
Fengyuan Zhu ◽  
Pheng Ann Heng
Keyword(s):  
Statistical Method ◽  
Noise Level ◽  
Image Noise ◽  
Noise Level Estimation
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