Image Capture: Modelling and Calibration of Sensor Responses and their Synthesis from Multispectral Images

digital cameras, hyperspectral, multispectral, sensors, simulation, modelling, calibration This paper describes (a) models for digital cameras, (b) the calibration of the spectral response of a camera and (c) the performance of an image capture simulator. The general model underlying the simulator assumes that the image capture device contains multiple classes of sensors with different spectral sensitivities and that each sensor responds in a known way to light intensity over most of its operating range. The input to the simulator is a set of narrow-band images of the scene taken with a custom-designed hyperspectral camera system [1]. The parameters for the simulator are: the number of sensor classes; the sensor spectral sensitivities; the noise statistics and number of quantization levels for each sensor class; the spatial arrangement of the sensors; and the exposure duration. The output of the simulator is the raw image data that would have been acquired by the simulated image capture device.