Wavelets and Wavelet Transform
Wavelets and Wavelet Transform
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DOI：
10.1007/978-981-10-7272-7_3
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发表时间：
2018-01-01
期刊：
影响因子：
--
通讯作者：
Paik, Joonki
中科院分区：
文献类型：
--
作者：
Vyas, Aparna;Yu, Soohwan;Paik, Joonki
小波变换是图像处理领域中最强大、应用最广泛的工具。小波变换以其对非平稳图像信号的灵活表示和对人类视觉特征的适应能力，在图像处理领域受到了广泛的关注。小波变换是一种表示图像的有效工具。小波变换允许对图像进行多分辨率分析。变换的目的是从图像中提取相关信息。小波变换将信号分成若干段，每段对应一个不同的频带。
Wavelet transforms are the most powerful and the most widely used tool in the field of image processing. Wavelet transform has received considerable attention in the field of image processing due to its flexibility in representing non-stationary image signals and its ability in adapting to human visual characteristics. Wavelet transform is an efficient tool to represent an image. The wavelet transform allows multiresolution analysis of an image. The aim of the transform is to extract relevant information from an image. A wavelet transform divides a signal into a number of segments, each corresponding to a different frequency band.