![]() ![]() In this work we present an algorithm for radiometric calibration based on Gaussian processes. The task of a radiometric calibration is to reduce these errors in the image and thus improve the quality of the overall application. These effects include for example a temperature dependent dark current, read noise, optical vignetting or different sensitivities of individual pixels. Numerical calculations predict a two times faster charge collection.ĭigital cameras are subject to physical, electronic and optic effects that result in errors and noise in the image. A novel pixel structure is presented which is optimized for a fast charge transfer by the appliance of the shown model. ![]() In our case, we employed a lateral drift field photodetector (LDPD), which is basically a pinned photodiode with a built-in drift field formed by a doping gradient. Since the sensor is operated with very short integration times it is crucial to accomplish a fast transfer of the generated charge from the photodetector to the sense node, and speedy conversion into an electrical signal at its output. The employed approach allows elimination not only of irradiance-dependent charge transfer, but also of undesired reflectance effects, and the influence of ambient light through an in-pixel background measurement. This method makes it possible to calculate the time-dependent charge carrier generation, transfer, and distribution. Our model relies on the theoretical description of photo-generation, charge transfer including diffusion, fringing field, and self-induced drift (SID). This contribution describes the modeling of CMOS image sensors employed in time-of-flight (ToF) sensor systems for 3D ranging applications. ![]()
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