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
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[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
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