小波
小波变换
离散小波变换
平稳小波变换
小波包分解
第二代小波变换
连续小波变换
吊装方案
谐波小波变换
级联算法
快速小波变换
数学
计算机科学
小波
人工智能
作者
Aparna Vyas,Soohwan Yu,Joonki Paik
出处
期刊:Signals and communication technology
日期:2018-01-01
卷期号:: 45-92
被引量:2
标识
DOI:10.1007/978-981-10-7272-7_3
摘要
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.
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