scholarly journals Rectified Gaussian noise estimation and its use in position sensitive detection systems

2020 ◽  
Vol 56 (8) ◽  
pp. 390-392
Author(s):  
J.‐H. Noh
Keyword(s):  
Gaussian Noise ◽  
Noise Estimation ◽  
Sensitive Detection ◽  
Detection Systems ◽  
Position Sensitive

Trace Analysis Using Position-Sensitive Detection in Magnetic Sector Mass Spectrometry

1993 ◽  
Vol 26 (4) ◽  
pp. 661-676
Author(s):  
Lyn R. Watson ◽  
Terry L. Thiem ◽  
Rainer A. Dressler ◽  
Richard H. Salter ◽  
Edmond Murad
Keyword(s):  
Mass Spectrometry ◽  
Trace Analysis ◽  
Sensitive Detection ◽  
Magnetic Sector ◽  
Position Sensitive

Spectroscopy of highly-ionized atoms using position-sensitive detection

1993 ◽  
Author(s):  
K. W. Kukla ◽  
A. E. Livingston ◽  
F. G. Serpa ◽  
A. S. Zacarias ◽  
H. G. Berry ◽  
...  
Keyword(s):  
Sensitive Detection ◽  
Position Sensitive

scholarly journals Noise Estimation for Image Sensor Based on Local Entropy and Median Absolute Deviation

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 339 ◽  
Author(s):  
Yongsong Li ◽  
Zhengzhou Li ◽  
Kai Wei ◽  
Weiqi Xiong ◽  
Jiangpeng Yu ◽  
...  
Keyword(s):  
Gaussian Noise ◽  
Additive White Gaussian Noise ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Haar Wavelet ◽  
Image Sensor ◽  
Median Absolute Deviation ◽  
Noise Estimation ◽  
Estimation Methods ◽  
Absolute Deviation

Noise estimation for image sensor is a key technique in many image pre-processing applications such as blind de-noising. The existing noise estimation methods for additive white Gaussian noise (AWGN) and Poisson-Gaussian noise (PGN) may underestimate or overestimate the noise level in the situation of a heavy textured scene image. To cope with this problem, a novel homogenous block-based noise estimation method is proposed to calculate these noises in this paper. Initially, the noisy image is transformed into the map of local gray statistic entropy (LGSE), and the weakly textured image blocks can be selected with several biggest LGSE values in a descending order. Then, the Haar wavelet-based local median absolute deviation (HLMAD) is presented to compute the local variance of these selected homogenous blocks. After that, the noise parameters can be estimated accurately by applying the maximum likelihood estimation (MLE) to analyze the local mean and variance of selected blocks. Extensive experiments on synthesized noised images are induced and the experimental results show that the proposed method could not only more accurately estimate the noise of various scene images with different noise levels than the compared state-of-the-art methods, but also promote the performance of the blind de-noising algorithm.

Time-of-flight mass spectrometer coupled to a position sensitive detection

2005 ◽  
Vol 34 (1-3) ◽  
pp. 15-18 ◽  
Author(s):  
M. Abd El Rahim ◽  
R. Antoine ◽  
L. Arnaud ◽  
M. Broyer ◽  
D. Rayane ◽  
...  
Keyword(s):  
Mass Spectrometer ◽  
Time Of Flight ◽  
Sensitive Detection ◽  
Flight Mass Spectrometer ◽  
Position Sensitive

Position sensitive detection with laser induced fluorescence

1990 ◽  
Author(s):  
L. Hüwel ◽  
A. M. Wodtke ◽  
P. Andresen ◽  
H. Voges
Keyword(s):  
Laser Induced Fluorescence ◽  
Sensitive Detection ◽  
Position Sensitive
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