BLACK LEVEL CALIBRATION METHODS FOR IMAGE SENSORS

摘要

A technology is described for calibrating a black level in an image sensor. The technology provides devices, systems and methods for calculating a black level value, where in one aspect, an image data set can be received from an optical black pixel region of an image sensor. A minimum and a mean value can be calculated for the image data set. Thereupon, image thresholding of the image data set can be performed that produces a binary image segmentation of the image data set and a global threshold value can be set to the binary image segmentation that is black. A function can then be performed that determines light corruption in the image data set, and if light corruption is detected, then the image data set can be sorted and a median value can be calculated for a bottom percentage of the sorted image data set and provided as a black level baseline value.

主权项

1. A method for calibrating a black level in an image sensor, comprising:
under control of a processor and memory configured with executable instructions, receiving an image data set from an optical black pixel region of an image sensor, calculating a minimum and a mean for the image data set; performing image thresholding of the image data set resulting in a binary image segmentation of the image data set and setting a global threshold value equal to the binary image segmentation that is black; determining light corruption as a function of the global threshold value, the minimum, the mean, and a detection threshold, wherein the detection threshold is determined by light conditions that result in light corruption; performing image data segmentation of the image data set having light and providing a black level baseline value from the image data set segmented from the image data set having light corruption.