Motion-compensated temporal filtering based on variable filter parameters

摘要

Systems and devices for, and methods of, motion-compensated temporal filtering based on variable filter parameters. A method embodiment includes (a) determining, by a processor having memory, a pixel-related residue image based on a set of differences between a current pixel intensity of a current frame and a corresponding pixel intensity of a previous frame, wherein the corresponding pixel intensity is augmented by a motion-compensated vector of the previous frame; (b) determining an intensity weight based on the determined pixel-related residue image and a temporal filtering parameter; and (c) filtering the pixel intensity of the current frame based on the determined intensity weight and the motion compensated vector of the previous frame.

主权项

1. A method of motion-compensated temporal filtering comprising:
determining, by a processor having memory, a pixel-related residue image based on a set of differences between a current pixel intensity of a current frame and a corresponding pixel intensity of a previous frame, wherein the corresponding pixel intensity is augmented by a motion-compensated vector of the previous frame; determining an intensity weight based on the determined pixel-related residue image and a filtering parameter, wherein the filtering parameter provides, via minimizing a mean-square difference error, a de-noising effect based on noise level and motion compensation error; generating an optimal filtering parameter for motion-compensated temporal filtering by subsequently revising the filtering parameter based on a set of previously determined residue images via tracking a count of frames and apportioning according to a resulting square-root of each residue image of the set of previously determined residue images; filtering the pixel intensity of the current frame based on the determined intensity weight, the pixel intensity of the previous frame, a standard deviation parameter, and the motion compensated vector of the previous frame; and determining a filtered pixel intensity vector based on the filtered pixel intensity of the current frame, the generated optimal filtering parameter, and a spatial weighting distribution.