Gain fixed pattern noise correction via optical flow

The paper describes a method that uses a video sequence to correct gain fixed pattern noise (FPN) in an image sensor. The captured sequence and its optical flow are used to estimate gain FPN. Assuming brightness constancy along the motion trajectories, the pixels are grouped in blocks and the gains of the pixels in each block are estimated by iteratively minimizing the sum of the squared brightness variations along the motion trajectories. Significant reductions in gain FPN are demonstrated using both real and synthetically generated video sequences with modest computations.