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watermark_wavelet

于 2021-01-14 发布 文件大小:616KB
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下载积分: 1 下载次数: 116

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  小波变换的数字水印算法,附有论文和源程序.(Wavelet Transform Digital Watermarking Algorithm with thesis and source code.)

文件列表:

goodti.m.txt
wen2.pdf

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    基于DB4 的小波变换,实现了小波的分解与重构,可根据实际需要修改阈值的选取方法(Based DB4 wavelet transform to achieve wavelet decomposition and reconstruction, according to the actual need to modify the threshold selection method)
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    积分:1
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    2021-03-27 11:29:12下载
    积分:1
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    < VISUAL C++ 小波变换技术与工程实践>>书中所附程序:小波变换在视频编码压缩中的应用(<VISUAL C++ Wavelet transform technology and engineering practice of>> the book accompanying procedures: Application of wavelet transform in video coding compression)
    2007-01-05 15:53:25下载
    积分:1
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    用于折射波处理时的to、θ函数法求界面深度,浅层地震(Used for refraction wave in processing, θ function method to ask interface depth, shallow earthquake)
    2020-12-20 10:59:10下载
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    2021-04-18 20:28:51下载
    积分:1
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    图象增强小波变换将一幅图象分解为大小、位置与方向都不同的分量。在做逆变换之前能改变小波变换域中某些系数的大小,,这样就能够洋选择的放大所感兴趣的分量而减小不需要的分量。给定一个图象信号,用二维小波分析析对图象进行增强处理。 (Image enhancement wavelet transform decomposition size, location and direction of the different components of an image. Wavelet transform domain, some the size of the coefficient can change before doing the inverse transformation, so can the component of interest to the amplification of the ocean choose to reduce the unwanted weight. Given an image signal, the analysis of two-dimensional wavelet analysis of image enhancement processing.)
    2012-07-27 21:23:36下载
    积分:1
  • Wavelet-dec--rec
    在理解了离散小波变换的基本原理和算法的基础上,通过设计VC程序对简单的一维信 号在加上了高斯白噪声之后进行Daubechies小波、Morlet小波和Haar小波变换,从而得到小波分解系数;再通过改变分解得到的各层高频系数进行信号的小波重构达到消噪的目的。在这一程序实现的过程中能直观地理解信号小波分解重构的过程和在信号消噪中的重要作用,以及在对各层高频系数进行权重处理时系数的选取对信号消噪效果的影响。(In understanding the basis of discrete wavelet transform basic principles and algorithms, through the design VC program Daubechies wavelet, Morlet wavelet and Haar wavelet transform after a simple one-dimensional signal plus a Gaussian white noise, resulting wavelet coefficients wavelet reconstruction signal again by changing the layers to achieve high-frequency coefficients decomposed noise cancellation purposes. Can intuitively understand wavelet decomposition and reconstruction process and an important role in signal de-noising in the process of implementation of this program, and in the high-frequency coefficients when the weight of the layers selected for signal processing coefficients denoising affected.)
    2014-07-10 18:16:49下载
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    2015-09-22 19:57:53下载
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    2020-11-10 20:19:45下载
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