A Novel Modeling and Evaluating for RTS Noise on CMOS Image Sensor in Motion Picture

Deng ZHANG; Jegoon RYU; Toshihiro NISHIMURA

doi:10.1587/transinf.E93.D.350

A Novel Modeling and Evaluating for RTS Noise on CMOS Image Sensor in Motion Picture

Deng ZHANG, Jegoon RYU, Toshihiro NISHIMURA

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The precise noise modeling of complementary metal oxide semiconductor image sensor (CMOS image sensor: CIS) is a significant key in understanding the noise source mechanisms, optimizing sensor design, designing noise reduction circuit, and enhancing image quality. Therefore, this paper presents an accurate random telegraph signal (RTS) noise analysis model and a novel quantitative evaluation method in motion picture for the visual sensory evaluation of CIS. In this paper, two main works will be introduced. One is that the exposure process of a video camera is simulated, in which a Gaussian noise and an RTS noise in pinned-photodiode CMOS pixels are modeled in time domain and spatial domain; the other is that a new video quality evaluation method for RTS noise is proposed. Simulation results obtained reveal that the proposed noise modeling for CIS can approximate its physical process and the proposed video quality evaluation method for RTS noise performs effectively as compared to other evaluation methods. Based on the experimental results, conclusions on how the spatial distribution of an RTS noise affects the quality of motion picture are carried out.

Publication: IEICE TRANSACTIONS on Information Vol.E93-D No.2 pp.350-358

Publication Date: 2010/02/01

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Online ISSN: 1745-1361

DOI: 10.1587/transinf.E93.D.350

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

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Deng ZHANG, Jegoon RYU, Toshihiro NISHIMURA, "A Novel Modeling and Evaluating for RTS Noise on CMOS Image Sensor in Motion Picture" in IEICE TRANSACTIONS on Information, vol. E93-D, no. 2, pp. 350-358, February 2010, doi: 10.1587/transinf.E93.D.350.
Abstract: The precise noise modeling of complementary metal oxide semiconductor image sensor (CMOS image sensor: CIS) is a significant key in understanding the noise source mechanisms, optimizing sensor design, designing noise reduction circuit, and enhancing image quality. Therefore, this paper presents an accurate random telegraph signal (RTS) noise analysis model and a novel quantitative evaluation method in motion picture for the visual sensory evaluation of CIS. In this paper, two main works will be introduced. One is that the exposure process of a video camera is simulated, in which a Gaussian noise and an RTS noise in pinned-photodiode CMOS pixels are modeled in time domain and spatial domain; the other is that a new video quality evaluation method for RTS noise is proposed. Simulation results obtained reveal that the proposed noise modeling for CIS can approximate its physical process and the proposed video quality evaluation method for RTS noise performs effectively as compared to other evaluation methods. Based on the experimental results, conclusions on how the spatial distribution of an RTS noise affects the quality of motion picture are carried out.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.350/_p

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@ARTICLE{e93-d_2_350,
author={Deng ZHANG, Jegoon RYU, Toshihiro NISHIMURA, },
journal={IEICE TRANSACTIONS on Information},
title={A Novel Modeling and Evaluating for RTS Noise on CMOS Image Sensor in Motion Picture},
year={2010},
volume={E93-D},
number={2},
pages={350-358},
abstract={The precise noise modeling of complementary metal oxide semiconductor image sensor (CMOS image sensor: CIS) is a significant key in understanding the noise source mechanisms, optimizing sensor design, designing noise reduction circuit, and enhancing image quality. Therefore, this paper presents an accurate random telegraph signal (RTS) noise analysis model and a novel quantitative evaluation method in motion picture for the visual sensory evaluation of CIS. In this paper, two main works will be introduced. One is that the exposure process of a video camera is simulated, in which a Gaussian noise and an RTS noise in pinned-photodiode CMOS pixels are modeled in time domain and spatial domain; the other is that a new video quality evaluation method for RTS noise is proposed. Simulation results obtained reveal that the proposed noise modeling for CIS can approximate its physical process and the proposed video quality evaluation method for RTS noise performs effectively as compared to other evaluation methods. Based on the experimental results, conclusions on how the spatial distribution of an RTS noise affects the quality of motion picture are carried out.},
keywords={},
doi={10.1587/transinf.E93.D.350},
ISSN={1745-1361},
month={February},}

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TY - JOUR
TI - A Novel Modeling and Evaluating for RTS Noise on CMOS Image Sensor in Motion Picture
T2 - IEICE TRANSACTIONS on Information
SP - 350
EP - 358
AU - Deng ZHANG
AU - Jegoon RYU
AU - Toshihiro NISHIMURA
PY - 2010
DO - 10.1587/transinf.E93.D.350
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2010
AB - The precise noise modeling of complementary metal oxide semiconductor image sensor (CMOS image sensor: CIS) is a significant key in understanding the noise source mechanisms, optimizing sensor design, designing noise reduction circuit, and enhancing image quality. Therefore, this paper presents an accurate random telegraph signal (RTS) noise analysis model and a novel quantitative evaluation method in motion picture for the visual sensory evaluation of CIS. In this paper, two main works will be introduced. One is that the exposure process of a video camera is simulated, in which a Gaussian noise and an RTS noise in pinned-photodiode CMOS pixels are modeled in time domain and spatial domain; the other is that a new video quality evaluation method for RTS noise is proposed. Simulation results obtained reveal that the proposed noise modeling for CIS can approximate its physical process and the proposed video quality evaluation method for RTS noise performs effectively as compared to other evaluation methods. Based on the experimental results, conclusions on how the spatial distribution of an RTS noise affects the quality of motion picture are carried out.
ER -