Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples
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...
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MDPI AG
2018-07-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/18/7/2276 |
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| author | Yu Zhang Guangyi Wang Jiangtao Xu |
| author_facet | Yu Zhang Guangyi Wang Jiangtao Xu |
| author_sort | Yu Zhang |
| collection | DOAJ |
| description | 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. |
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| language | English |
| last_indexed | 2024-04-11T13:57:17Z |
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| spelling | doaj.art-a4a881dca43546619105130e3648ce932022-12-22T04:20:13ZengMDPI AGSensors1424-82202018-07-01187227610.3390/s18072276s18072276Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise SamplesYu Zhang0Guangyi Wang1Jiangtao Xu2School of Electronic and Information, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Electronic and Information, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Microelectronics, Tianjin University, Tianjin 300072, ChinaParameter 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.http://www.mdpi.com/1424-8220/18/7/2276parameter estimationsignal-dependent random noisenumerical characteristic of mixed Poisson noise samplescomplementary metal-oxide semiconductor/charge-coupled device (CMOS/CCD) image sensor |
| spellingShingle | Yu Zhang Guangyi Wang Jiangtao Xu Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples Sensors parameter estimation signal-dependent random noise numerical characteristic of mixed Poisson noise samples complementary metal-oxide semiconductor/charge-coupled device (CMOS/CCD) image sensor |
| title | Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples |
| title_full | Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples |
| title_fullStr | Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples |
| title_full_unstemmed | Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples |
| title_short | Parameter Estimation of Signal-Dependent Random Noise in CMOS/CCD Image Sensor Based on Numerical Characteristic of Mixed Poisson Noise Samples |
| title_sort | parameter estimation of signal dependent random noise in cmos ccd image sensor based on numerical characteristic of mixed poisson noise samples |
| topic | parameter estimation signal-dependent random noise numerical characteristic of mixed Poisson noise samples complementary metal-oxide semiconductor/charge-coupled device (CMOS/CCD) image sensor |
| url | http://www.mdpi.com/1424-8220/18/7/2276 |
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