二值伪小波及其在二值图像处理中的应用

S. Pigeon, Yoshua Bengio
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引用次数: 5

摘要

本文基于二值域证明了二值伪小波的存在性,这些伪小波具有小波的一些特性,如多分辨率重构和紧凑支持。二元伪小波定义在B/sup n/(长度为n的二进制向量)上,并使用二元算子逻辑与和异或进行运算。前向变换或分析是将一个二值向量分解成其组成的二值伪小波。二值伪小波允许多分辨率,通过在反变换中使用逐步增加的系数来逐步重建二值矢量。二值伪小波基作为稀疏矩阵,也提供了快速变换;此外,伪小波依赖于硬件友好的操作,以实现高效的软件和硬件实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Binary pseudowavelets and applications to bilevel image processing
This paper shows the existence of binary pseudowavelets, bases on the binary domain that exhibit some of the properties of wavelets, such as multiresolution reconstruction and compact support. The binary pseudowavelets are defined on B/sup n/ (binary vectors of length n) and are operated upon with the binary operators logical and, and exclusive or. The forward transform, or analysis, is the decomposition of a binary vector into its constituent binary pseudowavelets. Binary pseudowavelets allow multiresolution, progressive reconstruction of binary vectors by using progressively more coefficients in the inverse transform. Binary pseudowavelets bases, being sparse matrices, also provide for fast transforms; moreover pseudowavelets rely on hardware-friendly operations for efficient software and hardware implementation.
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