Digital image sensor system error calibration method based on priori noise model

A digital image and system error technology, applied in image communication, image analysis, image data processing, etc., can solve problems such as system error and digital response value difference

Active Publication Date: 2020-02-18
ZHEJIANG UNIV
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Problems solved by technology

In fact, in the two conversion processes of optical signal to electrical signal and electrical signal to digital signal, various noises and system errors will be introduced, and the digital response values ​​of the two exposures will be different.

Method used

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  • Digital image sensor system error calibration method based on priori noise model
  • Digital image sensor system error calibration method based on priori noise model
  • Digital image sensor system error calibration method based on priori noise model

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Embodiment

[0221] In this embodiment, a digital image sensor system error calibration method based on a priori noise model is adopted, and its steps are as follows:

[0222] S1: Estimate sensor noise, including sensor pixel response non-uniformity, thermal noise, shot noise, fixed pattern noise, readout noise, and quantization error, based on the calculation formula of the raw response value of the digital image sensor and the prior knowledge of the associated noise generation The expected value and variance of different types of noise in the sensor, and establish the total noise composition model D(i, j) of the sensor at the position (i, j) pixel.

[0223] In this embodiment, the specific execution process of step S1 is described in detail as follows:

[0224] The original response value D of the digital image sensor is expressed as:

[0225]

[0226] Among them, f( ) represents the nonlinear modulation of the circuit, F is the aperture value of the camera system, g is the integrate...

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Abstract

The invention discloses a digital image sensor system error calibration method based on a prior noise model. For an image sensor capable of outputting linear image response value data, a response value composition model and a noise and system error correction model established by the invention can establish a system error and noise model contained in the original response value, and calibrate thedistribution and intensity level of some system errors and noise by calculating the RAW image shot under specific conditions. The calibration values can be substituted into the response values established in the invention to form a model, and system error correction is carried out on a single RAW file shot by an image sensor.

Description

technical field [0001] The invention belongs to the field of image sensor calibration, in particular to a method for establishing a digital image sensor noise distribution and estimation model based on prior knowledge. Background technique [0002] In order to accurately simulate the conversion process between optical signals and digital signals in digital sensors, in addition to establishing a process model based on physical principles, errors in actual operation should also be considered and corrected. Ideally, when the illumination source, the target object and the initial state of the digital image sensor are all stable, the image response value D output by the sensor can be obtained by the formula [0003] [0004] calculated. The symbols and corresponding dimensions in the formula are shown in the table below. [0005] Table 1 Symbol meanings and corresponding dimensions [0006] [0007] According to this formula, the same pixel should have the same response ...

Claims

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Application Information

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IPC IPC(8): G06T7/80H04N17/00
CPCG06T7/80H04N17/00
Inventor 徐海松叶正男邱珏沁
Owner ZHEJIANG UNIV
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