Spatial metrics for denoising depth image data

Abstract

Examples are disclosed relating to performing denoising and adaptive precision control on time-of-flight sensor data using noise metrics. One example provides a computing system, comprising, a logic machine, and a storage machine holding instructions executable by the logic machine to obtain time-of-flight (ToF) image data comprising a plurality of pixels, for each pixel of the ToF image data, determine one or more noise metrics by applying a spatial kernel, segment the ToF image data based on the one or more noise metrics to obtain differently classified pixels, during a denoising phase, process pixels of a first classification differently than pixels of a second classification, after the denoising phase, determine a depth image, and output the depth image.