Extended Multiple Cross-Component Linear Models With Adaptive Thresholding and Overlapped Averaging Beyond VVC

In this paper, we propose an extended multimodel cross-component linear model (MMLM) for video compression beyond the versatile video coding standard. Our proposed method incorporates adaptive thresholding and overlapped averaging to enhance prediction accuracy and reduce discontinuities in multiple linear models. We evaluate our method’s coding gain on various video sequences and demonstrate a notable improvement of up to 1.3% bit-rate savings over the conventional MMLM, validating our method’s efficiency in high-efficiency video compression.