四维整数小波变换中不可分离的四重提升结构,降低了舍入噪声

Fairoza Amira Hamzah, Taichi Yoshida, M. Iwahashi
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引用次数: 5

摘要

JPEG 2000中的小波变换(WT)采用了“可分离”提升结构,将一维(1D)变换转化为具有空间和时间维度的多维图像信号。现有方法采用了“不可分离”的三维(3D)结构,以最大限度地减少其提升步骤。证明了(5,3)型变换中“不可分离”的三维结构在无损编码中可以降低其内部的舍入噪声。然而,在有损编码的(9,7)型变换中,“不可分离”3D结构内部的舍入噪声增加了。本文提出了一种新的“不可分”二维(2D)结构,用于四维(4D)四重提升小波的整数实现。由于保留了原始提升步骤的顺序,因此在解码图像的像素值中观察到的舍入噪声总量显著减少,并且提高了四维输入信号的有损编码性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-separable quadruple lifting structure for four-dimensional integer Wavelet Transform with reduced rounding noise
The Wavelet Transform (WT) in JPEG 2000 is using a ‘separable’ lifting structure, where the one-dimensional (1D) transform is put into multidimensional image signal of its spatial and temporal dimensions. A ‘non-separable’ three-dimensional (3D) structure as the existing method is used to minimize its lifting steps. The ‘non-separable’ 3D structure in the (5,3) type transform for lossless coding is proved to reduce the rounding noise inside it. However, in the (9,7) type transform for lossy coding, the rounding noise inside the ‘non-separable’ 3D structure has increased. This paper proposed a new ‘non-separable’ two-dimensional (2D) structure for integer implementation of a four-dimensional (4D) quadruple lifting WT. Since the order of the original lifting step is preserved, the total amount of the rounding noise observed in pixel values of the decoded image is significantly reduced, and the lossy coding performance for 4D input signal is increased.
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