Design Framework of Image Sensor System Based on Dynamic Range Extension by Adding Noise for Saturated Conditions
针对强光下图像传感器动态范围不足的问题，提出一种仅通过添加噪声来扩展动态范围的简单方法，灵感来自超阈值随机共振，适合低成本图像传感器应用。
It is a well-known fact that the light input to an image sensor is often out of its dynamic range under the strong light conditions of halation. In this case, the sensor cannot output any information. Therefore, various countermeasures have been proposed for sensor devices and signal processing. These countermeasures increase the dynamic range using additional components and/or computations, which increase the system cost. In this paper, we propose a simple alternative method of just adding noise. Inspired by the concept of supra-threshold stochastic resonance, which is often discussed in the context of nonlinear physics, a fluctuation in sensor response is introduced in the proposed method. We analytically describe the mechanism by which the dynamic range is increased, which is intuitively understandable and can be used in practical image sensors.