In the research and development of image sensor chips, “Temporal dark noise” is an index used to measure the random noise or interference that appears in the images captured by the sensor at different time points. This noise usually comes from the sensor itself, rather than from a light source or the environment.
Simply put, Temporal dark noise is like some strange dots or speckles that the camera sensor itself produces when you take a photo. They may appear at different time points and are not caused by light. This noise can degrade image quality. Therefore, measuring and controlling Temporal dark noise is very important in image sensor R&D to ensure image clarity and quality.
The working principle of “Temporal dark noise” is related to the random noise or interference generated by the sensor over a period of time. Here is how it works:
In summary, the working principle of Temporal dark noise involves the variation of dark current effects and other random noise factors within the sensor at different time points. This measurement helps understand the potential noise levels in real-world applications and optimize sensor design for better image quality.