Description: 小波分析及其应用,详细介绍了小波变换原理和基本方法,还重点介绍小波变换在语音和图像处理、信号检测、多尺度边缘提取等领域的应用。-Wavelet analysis and applications, described in detail wavelet transform principles and basic methods, but also focuses on Wavelet Transform in the voice and image processing, signal detection, multiscale edge detection and other fields. Platform: |
Size: 3591168 |
Author:Blueben |
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Description: JBEAM-soft is a software package written in MATLAB. It was used to generate the simulation results, as well as figures, in paper "JBEAM: multiscale curve coding via beamlets" by X. Huo and Jihong Chen. This paper will appear in IEEE Trans. Image Processing, 14 (11), in November 2005 Platform: |
Size: 302080 |
Author:Galilleo |
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Description: this a good source matlab code for DTCWT,which can be used in image processing and multiscale presentation.-this is a good source matlab code for DTCWT,which can be used in image processing and multiscale presentation. Platform: |
Size: 1892352 |
Author:小芳 |
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Description: This software release consists of a MULTISCALE PIXEL DOMAIN, SCALAR GSM implementation of the algorithm described in the paper:
H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality"., IEEE Transactions on Image Processing, Platform: |
Size: 10240 |
Author:ahmed seghir |
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Description: Curvelet变换是最近图像处理较新的一种多尺度几何变换算法,有详细的快速变换fdct_usfft的matlab代码-Curvelet transform is the latest image processing a multiscale geometric transform algorithm is relatively new, there is a rapid transformation of fdct_usfft with the matlab code Platform: |
Size: 175104 |
Author:徐彬鑫 |
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Description: Curvelet变换是最近图像处理较新的一种多尺度几何变换算法,有详细的快速变换fdct_wrapping的matlab代码-Curvelet transform is the latest image processing a multiscale geometric transform algorithm is relatively new, there is a rapid transformation of fdct_wrapping with the matlab code Platform: |
Size: 2779136 |
Author:徐彬鑫 |
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Description: 这本书在稀疏的多尺度图像和信号处理提出了艺术状态,包括线性多尺度变换,如小波,脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题,如去噪,反问题正规化,稀疏信号分解,盲源分离,压缩感知。
这本书的理论和实践研究相结合的领域,如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换,表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。
MATLAB和IDL代码伴随这些方法和应用程序重现。
实验并说明了在相关网站上可下载的研究的推理和方法。(This book presents the state of the art in sparse and multiscale image and signal processing,
covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms,
and non-linear multiscale transforms based on the median and mathematical
morphology operators. Recent concepts of sparsity and morphological diversity are described
and exploited for various problems such as denoising, inverse problem regularization,
sparse signal decomposition, blind source separation, and compressed sensing.
This book weds theory and practice in examining applications in areas such as astronomy,
biology, physics, digital media, and forensics. A final chapter explores a paradigm
shift in signal processing, showing that previous limits to information sampling and
extraction can be overcome in very significant ways.) Platform: |
Size: 30863360 |
Author:lxfei73 |
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