Noise-robustness improvement of the H.264 video coder

摘要

When sequence noise increases, the prediction process in the H.264 advanced video coding (AVC) encoder becomes less efficient. The residue resulting from the difference between the matching macroblocks in the frame coded in predictive mode and the best reference frame increases dramatically. To solve this problem, we propose to embed in the H.264/AVC encoder a motion detection technique based on the Markov random fields algorithm, which relies on robust moving pixel segmentation and reduces the luminance variation that results more often from noise rather than motion. This algorithm needs three reference frames to detect real motion between matching macroblocks, and it allows a decrease in bit rate while maintaining the compressed sequence quality.