Low complexity algorithm for robust video frame rate up-conversion (FRUC) technique

Two challenging situations for video frame rate up-conversion (FRUC) are first identified and analyzed; namely, when the input video has abrupt illumination change and/or a low frame rate. Then, a low-complexity processing technique and robust FRUC algorithm are proposed to address these two issues. The proposed algorithm utilizes a translational motion vector model of the first- and the second-order and detects the continuity of these motion vectors. Additionally, in order to improve perceptual quality of interpolated frame, spatial smoothness criterion is employed. The superior performance of the proposed algorithm has been tested extensively and representative examples are given in this work.