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Hybrid template and block matching algorithm for image intra prediction

机译:用于图像帧内预测的混合模板和块匹配算法

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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.
机译:由于更好的空间预测和无需传输其他辅助数据,模板匹配已显示出优于H.264帧内视频编码预测模式。当模板和要预测的块高度相关时,例如在同质图像区域中,该方法确实有效,但是,在具有非均质纹理的区域中,该方法显然失败了。本文探讨了使用块匹配帧内预测算法的想法,由于基于率失真(RD)的决策机制,该算法将在模板匹配(TM)失败时自然用于图像区域。与H.264帧内预测模式和基于模板匹配的预测相比,此新方法提供了显着的编码增益。实际上,与仅使用H.264 Intra相比,基于Bjontergaard度量的基于TM的算法和提出的混合算法导致在低比特率下的增益分别高达38.02%和48.38%。

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