Discrete Wavelet Transformations最新文献

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VECTORS AND MATRICES 向量和矩阵
Discrete Wavelet Transformations Pub Date : 2019-04-29 DOI: 10.1007/978-3-030-17856-7_1
Y. Shapira
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引用次数: 6
Index 指数
Discrete Wavelet Transformations Pub Date : 2019-04-29 DOI: 10.1002/9781119555414.index
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引用次数: 0
FILTER CONSTRUCTION IN THE FOURIER DOMAIN 傅里叶域中的滤波器构造
Discrete Wavelet Transformations Pub Date : 2019-04-29 DOI: 10.1002/9781119555414.ch9
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引用次数: 0
THE JPEG2000 IMAGE COMPRESSION STANDARD jpeg2000图像压缩标准
Discrete Wavelet Transformations Pub Date : 2019-04-29 DOI: 10.1002/9781119555414.ch12
A. Basu
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引用次数: 1
COMPLEX NUMBERS AND FOURIER SERIES 复数和傅里叶级数
Discrete Wavelet Transformations Pub Date : 2011-03-01 DOI: 10.1002/9781118032404.CH4
Van Fleet, J. Patrick
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引用次数: 0
INTRODUCTION: WHY WAVELETS? 导读:为什么是小波?
Discrete Wavelet Transformations Pub Date : 2011-03-01 DOI: 10.1002/9781118032404.ch1
Van Fleet, J. Patrick
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引用次数: 1
THE HAAR WAVELET TRANSFORMATION 哈尔小波变换
Discrete Wavelet Transformations Pub Date : 2011-03-01 DOI: 10.1002/9781118032404.CH6
Van Fleet, J. Patrick
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引用次数: 1
AN INTRODUCTION TO DIGITAL IMAGES 介绍数字图像
Discrete Wavelet Transformations Pub Date : 2011-03-01 DOI: 10.1002/9781118032404.CH3
Van Fleet, J. Patrick
{"title":"AN INTRODUCTION TO DIGITAL IMAGES","authors":"Van Fleet, J. Patrick","doi":"10.1002/9781118032404.CH3","DOIUrl":"https://doi.org/10.1002/9781118032404.CH3","url":null,"abstract":"One of the main application areas of wavelet transforms is image processing. Wavelet transforms can be used in processes designed to compress images, search for edges in images, or enhance image features. This chapter presents the basics of digital images. It explains how a grayscale (monochrome) image can be interpreted by computer software, how one can represent a grayscale image using a matrix, and how matrices can be used to manipulate images. The chapter also presents an introduction to some basic intensity transformations. It also deals with digital color images as well as some popular color spaces that are useful for image processing. An important step in image compression is that of data encoding. Huffman coding, introduced by David Huffman, is an example of lossless compression. The chapter also explains how to calculate the cumulative energy of a signal or image, and discusses the qualitative measures: entropy and peak signal‐to‐noise ratio.","PeriodicalId":273650,"journal":{"name":"Discrete Wavelet Transformations","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114494368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
DAUBECHIES WAVELET TRANSFORMATIONS 涂抹小波变换
Discrete Wavelet Transformations Pub Date : 2011-03-01 DOI: 10.1002/9781118032404.CH7
Van Fleet, J. Patrick
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引用次数: 0
APPENDIX A BASIC STATISTICS 附录a基本统计
Discrete Wavelet Transformations Pub Date : 2006-02-06 DOI: 10.1002/9780470047729.APP1
B. El‐Haik, R. Al-Aomar
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引用次数: 0
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