一种新的基于插值预测的混合并行内编码方法

Cui Wang, Akira Kubota, Y. Hatori
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引用次数: 3

摘要

将预测编码与正交变换和量化相结合的混合编码方法是目前主要采用的编码方法。提出了一种基于插值预测的混合并行内编码方法,该方法利用相邻像素之间的相关性,包括非因果像素之间的相关性。为了获得较高的预测性能,采用了最优量化方案来抵消解码时扩大的误差。在此基础上,提出了一种能够实现并行编码的块形状,简化了插值预测的处理。将该方法与H.264的帧内编码方法进行了比较,结果表明,该方法的PSNR在亮度上提高了1 ~ 4 dB,特别是对于细节较多的图像。
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A new hybrid parallel intra coding method based on interpolative prediction
The hybrid coding method combining the predictive coding with the orthogonal transformation and the quantization is mainly used recently. This paper proposes a new hybrid parallel Intra Coding based on interpolative prediction which uses correlations between neighboring pixels, including non-causal pixels. In order to get high prediction performance, the optimal quantizing scheme, which is used to cancel the error that expands when decoding, is used. Furthermore, a new type of block shape, which enables parallel coding, is proposed to simplify the processing of interpolative prediction. The result of comparison between proposed method and intra coding method in H.264 shows that the PSNR of proposed technique achieves 1 dB to 4 dB improvement in Luminance, especially for image with more details.
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