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The New Graphic Description of the Haar Wavelet Transform

机译:Haar小波变换的新图形描述

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摘要

The image processing and analysis based on the continuous or discrete image transforms are the classic processing technique. The image transforms are widely used in image filtering, data description, etc. The image transform theory is a well known area, but in many cases some transforms have particular properties which are not still investigated. This paper for the first time presents graphic dependences between parts of Haar and wavelets images. The extraction of image features immediately from spectral coefficients distribution has been shown. In this paper it has been presented that two-dimensional both, the Haar and wavelets functions products, can be treated as extractors of particular image features.
机译:基于连续或离散图像变换的图像处理和分析是经典的处理技术。图像变换广泛用于图像过滤,数据描述等。图像变换理论是众所周知的领域,但是在许多情况下,某些变换具有特定的属性,尚待研究。本文首次提出了Haar部分和小波图像之间的图形依赖性。已经示出了从光谱系数分布中立即提取图像特征。在本文中已经提出,二维的Haar和小波函数乘积都可以视为特定图像特征的提取器。

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