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Automatic multi-level RTS noise real-time reestablishing method applied to CMOS image sensor

An image sensor and noise technology, which is applied in the direction of image communication, color TV parts, TV system parts, etc., can solve the problems of poor reliability of noise signal detection and reconstruction, improve detection accuracy and efficiency, and improve Reliability, effect of lowering temperature

Inactive Publication Date: 2014-09-03
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0009] In order to overcome the shortcomings of poor reliability of noise signal detection and reconstruction of the existing multi-level RTS noise algorithm in automatic extraction of CMOS image sensors, the present invention provides a multi-level RTS noise automatic real-time reconstruction method applied to CMOS image sensors

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  • Automatic multi-level RTS noise real-time reestablishing method applied to CMOS image sensor
  • Automatic multi-level RTS noise real-time reestablishing method applied to CMOS image sensor
  • Automatic multi-level RTS noise real-time reestablishing method applied to CMOS image sensor

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Embodiment Construction

[0027] refer to figure 1 . The present invention is applied to the multi-stage RTS noise automatic real-time reconstruction method of CMOS image sensor. The specific steps are as follows:

[0028] The first step, when the external noise signal comes, after the formula

[0029] H ( z ) = Σ i = 0 L / 2 - 1 ( a i z - i ) - Σ j = L / 2 L - 1 ( b j ...

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Abstract

The invention discloses an automatic multi-level RTS noise real-time reestablishing method applied to a CMOS image sensor to solve the technical problem that the noise signal detecting and reestablishing reliability is poor based on a multi-level RTS noise algorithm in an existing automatic CMOS image extracting sensor. According to the technical scheme, all noise signals are converted into triangular pulses with the equal amplitude, falling edge detecting is carried out on all the pulses, the calculated standard deviation amplitude is sampled, gain is carried out on the filtered triangular pulses, the triangular pulses are compared with the collected standard deviation, the average value is reset and calculation is carried out again every time RTS noise hop is detected, and the sampled average value signal is the amplitude of the RTS noise hop. According to the method, the real-time Gaussian noise standard deviation serves as the threshold value for judging the RTS noise, the threshold value is automatically collected, the RTS noise signal is reestablished, and the overall RTS noise signal detecting and reestablishing reliability is improved.

Description

technical field [0001] The invention relates to a multi-level RTS noise automatic real-time reconstruction method, in particular to a multi-level RTS noise automatic real-time reconstruction method applied to a CMOS image sensor. Background technique [0002] Literature "V.Goiffon, G.R.Hopkinson, P.Magnan, F.Bernard, G.Rolland, and O.Saint-Pé, "Multilevel RTS in Proton Irradiated CMOS Image Sensors Manufactured in a Deep Submicron Technology", IEEE Trans.Nucl. Sci., vol.56, no.4, pp.2132–2141, Aug.2009.” discloses an algorithm for automatically extracting multi-level RTS noise in CMOS image sensors. by formula [0003] H ( z ) = 2 L ( - Σ i = 0 L / 2 - 1 ...

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Application Information

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IPC IPC(8): H04N5/357H04N5/374
Inventor 赵瑞光郑然胡永才高德远魏廷存高武魏晓敏王佳王永斌
Owner NORTHWESTERN POLYTECHNICAL UNIV
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