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Sensors 2018, 18(7), 2276; https://doi.org/10.3390/s18072276

Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples

1
School of Electronic and Information, Hangzhou Dianzi University, Hangzhou 310018, China
2
Key Laboratory for RF Circuits and Systems, Ministry of Education, Hangzhou Dianzi University, Hangzhou 310018, China
3
School of Microelectronics, Tianjin University, Tianjin 300072, China
*
Author to whom correspondence should be addressed.
Received: 8 June 2018 / Revised: 5 July 2018 / Accepted: 13 July 2018 / Published: 13 July 2018
(This article belongs to the Section Physical Sensors)
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Abstract

Parameter estimation of Poisson-Gaussian signal-dependent random noise in the complementary metal-oxide semiconductor/charge-coupled device image sensor is a significant step in eliminating noise. The existing estimation algorithms, which are based on finding homogeneous regions, acquire the pair of the variances of noise and the intensities of every homogeneous region to fit the linear or piecewise linear curve and ascertain the noise parameters accordingly. In contrast to the existing algorithms, in this study, the Poisson noise samples of all homogeneous regions in every block image are pieced together to constitute a larger sample following the mixed Poisson noise distribution; then, the mean and variance of the mixed Poisson noise sample are deduced. Next, the mapping function among the noise parameters to be estimated—variance of Poisson-Gaussian noise and that of Gaussian noise corresponding to the stitched region in every block image—is constructed. Finally, the unbiased estimations of noise parameters are calculated from the mapping functions of all the image blocks. The experimental results confirm that the proposed method can obtain lower mean absolute error values of estimated noise parameters than the conventional ones. View Full-Text
Keywords: parameter estimation; signal-dependent random noise; numerical characteristic of mixed Poisson noise samples; complementary metal-oxide semiconductor/charge-coupled device (CMOS/CCD) image sensor parameter estimation; signal-dependent random noise; numerical characteristic of mixed Poisson noise samples; complementary metal-oxide semiconductor/charge-coupled device (CMOS/CCD) image sensor
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Zhang, Y.; Wang, G.; Xu, J. Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples. Sensors 2018, 18, 2276.

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