Camera response estimation. Radiometric calibration

Real time vision requires accurate information about the environment that is to be processed. The quality of the acquired images depends on many factors, such as weather and lighting conditions (sun, rain, snow, fog, mist), entering and going out of tunnels, shadows, cars headlights. This paper presents a new approach for assessing the response of a digital camera as a function of its parameters. The obtained mathematical model is vital for adapting the cameras to the environment's lighting conditions. The most widely used camera parameters are the exposure time and amplification gain. By adjusting these parameters the image acquisition system can be less dependent on the environment's lighting conditions and can provide better quality images for further processing.