A processor-implemented method including merging a first super-sampled image frame, having been generated at a first time point, with a second input image frame corresponding to a super-sampling target for a second time point to generate a merged image and generating a second super-sampled image frame by performing a super-sampling operation at the second time point that includes increasing a bit-precision of a result of an executing, by the processor, of a super-sampling neural network model provided a decreased bit precision of the merged image.