正交U变换及其在图像压缩中的应用

Fenhong Guo, Changzhen Xiong
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引用次数: 1

摘要

本文用递归的方法构造了一种新的酉变换——U变换。U变换矩阵包含分段常数基向量、分段线性基向量和分段二阶多项式基向量,因此U变换是Walsh变换和Slant变换的推广。找到了一种快速的变换计算算法。将U变换应用于基于人类视觉系统(HVS)的量化表数字图像压缩。实验结果表明,U变换在图像压缩方面优于斜变换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orthogonal U transform and its application in image compression
In this paper, a new unitary transform called U transform is constructed in recursion way. The U transform matrix contains piecewise constant basis vectors, piecewise linear basis vectors and piecewise second order polynomial basis vectors, and therefore U transform is a generalization of Walsh transform and Slant transform. A fast computational algorithm has been found for the transformation. The U transform is applied to digital image compression with quantization table based on Human Visual System (HVS). The experimental results indicate that U transform outperforms Slant transform in image compression.
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