图像内预测的混合模板和块匹配算法

S. Chérigui, C. Guillemot, D. Thoreau, P. Guillotel, P. Pérez
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引用次数: 18

摘要

由于更好的空间预测和不需要额外的辅助数据传输,模板匹配在Intra视频编码中表现优于H.264预测模式。当模板和待预测块高度相关时,例如在均匀的图像区域,该方法确实效果很好,但在纹理不均匀的区域,该方法明显失败。本文探讨了使用块匹配内预测算法的想法,由于基于率失真(RD)的决策机制,当模板匹配(TM)失败时,该算法将自然地用于图像区域。与H.264的Intra预测模式和基于模板匹配的预测模式相比,该方法具有显著的编码增益。事实上,与H.264 Intra相比,基于tm的算法和所提出的混合算法在低比特率下的速率增益分别高达38.02%和48.38%,与Bjontergaard测量相比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hybrid template and block matching algorithm for image intra prediction
Template matching has been shown to outperform the H.264 prediction modes for Intra video coding thanks to better spatial prediction and no additional ancillary data to transmit. The method indeed works well when the template and the block to be predicted are highly correlated, e.g., in homogenous image areas, however, it obviously fails in areas with non homogeneous textures. This paper explores the idea of using a block-matching intra prediction algorithm which, thanks to a Rate-Distorsion (RD) based decision mechanism, will naturally be used in image areas when template matching (TM) fails. This new method offers a significant coding gain compared to H.264 Intra prediction modes and the template matching based prediction. Indeed, the TM-based algorithm and the proposed hybrid algorithm lead, with the Bjontergaard measure, to rate gains of up to respectively 38.02% and 48.38% at low bitrates when compared with H.264 Intra only.
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