使用提升步骤的广义重叠双正交变换

M. Kawada, M. Ikehara
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引用次数: 0

摘要

提出了一类利用提升阶跃(LLBT)的叠置双正交变换。将变换系数参数化为一个基本矩阵和一系列提升步骤,提供了快速、高效的原位计算。我们的主要动机是新变换在图像编码中的应用。LLBT具有几个长重叠的合成库基函数,用于表示平滑信号,以避免恼人的阻塞伪影。覆盖高频波段的合成库的基被限制为短,以减少振铃伪影。此外,分析带通滤波器提供更好的阻带衰减。与流行的8/spl次/8 DCT相比,LLBT只需要更多的添加和移位操作。然而,图像编码实例表明,LLBT在客观和主观编码性能上都远远优于DCT和8/spl倍/16 LOT。
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Generalized lapped biorthogonal transforms using lifting steps
A large class of lapped biorthogonal transforms using lifting steps (LLBT) is presented. The transform coefficients are parametarized as a basic matrix and a series of lifting steps, providing fast, efficient in-place computation of them. Our main motivation of the new transform is its application in image coding. The LLBT has several long overlapped basis functions of the synthesis bank for representing smooth signals to avoid annoying blocking artifacts. The bases of the synthesis bank covering high-frequency bands are constrained to be short to reduce ringing artifacts. Moreover, the analysis bandpass filters provide better stopband attenuation. Comparing to the popular 8/spl times/8 DCT, the LLBT only requires several more additions and shifting operations. However, image coding examples show that the LLBT is far superior to the DCT and 8/spl times/16 LOT in both objective and subjective coding performance.
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