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Accurate modeling of image noise is important in understanding the relative contributions of multiple-noise mechanisms in the sensing, readout, and reconstruction phases of image formation. There is a lack of high-level image-sensor system modeling tools that enable engineers to see realistic visual effects of noise and change-specific design or process parameters to quickly see the resulting effects on image quality. This paper reports a comprehensive tool, written in MATLAB, for modeling noise in CMOS image sensors and showing the effect in images. The tool uses accepted theoretical/empirical noise models with parameters from measured process-data distributions. Output images from the tool are used to demonstrate the effectiveness of this approach in determining the effects of various noise sources on image quality
Gow et al. (Fri,) studied this question.