obtaining, using at least one sensor of an electronic device that is stationary, multiple image frames of a scene including a first image frame and a second image frame;

generating, using multiple motion vectors that were previously generated, a first motion-distorted image frame using the first image frame and a second motion-distorted image frame using the second image frame;

adding noise to the first and second motion-distorted image frames to generate first and second noisy motion-distorted image frames;

performing (i) a first multi-frame processing (MFP) operation to generate a ground truth image using the first and second motion-distorted image frames and (ii) a second MFP operation to generate an input image using the first and second noisy motion-distorted image frames; and

storing the ground truth image and the input image as an image pair for training an artificial intelligence/machine learning (AI/ML)-based image processing operation for removing image distortions caused by handheld image capture.