Embedded Implementation of Non-uniformity Correction using Kalman Filter Algorithm
نویسنده
چکیده
Sensor gain and offset non-uniformities associated with the IRFPA is the prime factor in limiting the performance of an infrared system to a great extent. This technique is based upon the Kalman filter in which gain and offset non-uniformities are treated as random variable and filter parameters are updated on pixel-by-pixel basis in every frame. This algorithm is tested on actual infrared data with simulated n on-uniformities as well on actual sensor data with non uniformities. The performance of the algorithm is evaluated by evaluating the performance parameter RMSE. It is observed that after 500 frames the images are almost free from non-uniformities. This algorithm is implemented in Xilinx FPGA based embedded hardware. General Terms Embedded, Filter, Gain, Infrared, NUC, Pixel, Scene
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