六边形QMF金字塔

Applied Vision Pub Date : 1900-01-01 DOI:10.1364/av.1989.wb2
E. Adelson, Eero P. Simoncelli
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引用次数: 2

摘要

人们普遍认为,有效的图像处理和机器视觉必须涉及多尺度信息的使用,人类视觉模型也必须是多尺度的。最常用的图像表示是线性变换,其中图像被分解成初等基函数的和。除了被很好地理解之外,卷积形式的线性变换为人类视觉系统中的一些早期处理提供了一个有用的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hexagonal QMF pyramids
It is widely recognized that effective image processing and machine vision must involve the use of information at multiple scales, and that models of human vision must be multi-scale as well. The most commonly used image representations are linear transforms, in which an image is decomposed into a sum of elementary basis functions. Besides being well understood, linear transformations in the form of convolutions provide a useful model of some of the early processing in the human visual system.
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