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Biorthogonal and nonuniform lapped transforms for transform coding with reduced blocking and ringing artifacts

机译:双正交和非均匀重叠变换,用于减少了阻塞和振铃伪影的变换编码

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摘要

New lapped transforms are introduced. The lapped biorthononal transform (LBT) and hierarchical lapped biorthogonal transform (HLBT) are appropriate for image coding, and the modulated HLBT biorthogonal transform (MMLBT) and nonuniform modulated lapped biorthogonal transform (NMLBT) are appropriate for audio coding. The HLBT has a significantly lower computational complexity than the lapped orthogonal transform (LOT), essentially no blocking artifacts, and fewer ringing artifacts than the commonly used discrete cosine transform (DCT). The LBT and HLBT have transform coding gains that are typically between 0.5 and 1.2 dB higher than that of the DCT. Image coding examples using JPEG and embedded zerotree coders demonstrate the better performance of the LET and HLBT. The NMLBT has fewer ringing artifacts and better reproduction of transient sounds than the MLT, as shown in audio coding examples. Fast algorithms for both the HLBT and the NMLBT are presented.
机译:引入了新的重叠变换。重叠双正交变换(LBT)和分层重叠双正交变换(HLBT)适用于图像编码,而调制HLBT双正交变换(MMLBT)和非均匀调制重叠双正交变换(NMLBT)适合音频编码。 HLBT的计算复杂度比重叠正交变换(LOT)低得多,与通常使用的离散余弦变换(DCT)相比,基本上没有阻塞伪像,并且振铃伪像更少。 LBT和HLBT的变换编码增益通常比DCT高0.5至1.2 dB。使用JPEG和嵌入式零树编码器的图像编码示例演示了LET和HLBT的更好性能。如音频编码示例所示,与MLT相比,NMLBT的振铃伪影更少,瞬态声音的再现效果更好。提出了针对HLBT和NMLBT的快速算法。

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