Description: KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取,降维使用 -KPCA major noise in the image to have the application. In addition can also be used for feature extraction, dimensionality reduction using Platform: |
Size: 1024 |
Author:videohu |
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Description: dctcom.m文件利用DCT变换完成对输入图像进行压缩;imagecbe.m完成对输入的两幅RGB图像用小波分析的方法进行图像融合 imagecom.m完成对输入的RGB图像用小波分析的方法进行自动降噪,得到高频系数阈值,降噪效果百分比和结果 wavelet1D.m完成对输入的一维信号进行多尺度离散小波分解 wavelet2D完成对输入的二维信号进行多尺度离散小波分解;zigzag.m完成对输入的8*8矩阵按照zigzag排列抽取数据.-document the use of DCT transform dctcom.m completion of the input image compression imagecbe.m completion of the two RGB input image with wavelet analysis method of image fusion imagecom.m completion of the input RGB image using wavelet analysis method automatically drop noise, the threshold of high-frequency coefficient, noise reduction effect and the results of the percentage of wavelet1D.m completion of the input signals of one-dimensional discrete wavelet multi-scale decomposition wavelet2D completion of the input signals of two-dimensional discrete wavelet multi-scale decomposition zigzag.m completed the input of 8* 8 matrix of data collected in accordance with the zigzag order. Platform: |
Size: 3072 |
Author:zhouhao |
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Description: SAR图像斑点噪声抑制方法与应用研究,里面给出里处理Sar
影像的算法-SAR image speckle noise reduction methods and applied research, which is given to deal with Sar Imaging Algorithm Platform: |
Size: 354304 |
Author:徐林林 |
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Description: 基于各向异性扩散方程的一款经典的SAR图像相干斑噪声抑制的算法实现,可以直接用的,效果很好!-Anisotropic diffusion equation based on a classic SAR image speckle noise reduction algorithm can be directly used, very good! Platform: |
Size: 574464 |
Author:陈少波 |
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Description: 这是一个小波降噪的Demo,这个Demo在降噪的基础上还对降噪后的图像进行了补偿复原,使降噪效果大大增强。大家在做类似项目的时候可以参考一下。-This is a wavelet noise reduction Demo, the Demo on the basis of the noise after noise reduction is also compensated image recovery, so that noise reduction effect of greatly enhanced. We do a similar project when you can reference. Platform: |
Size: 173056 |
Author:vegalee |
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Description: 本书是“MATLAB应用技术”系列丛书之一,以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分,第1部分着重介绍了小波理论基础,包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等;第2部分重点说明了小波分析工具箱的详细使用方法,包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩,以及最新的信号和图像的提升小波变换等内容;第3部分主要介绍了小波工具箱的应用基础,以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。-This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele Platform: |
Size: 86016 |
Author:彭跃华 |
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Description: Recognition of visual patterns and characters are independent of position, size, and orientation in the visual field has been the goal of much recent research. The method presented in this paper meets all these condition. An off-line signature matching system which is based on Hu moment invariant method is presented here. Signature matching uses a four - steps process. In first step the scanned or captured color images are initially converted to grey scale. Second step performs normalization and digitization of the original signature. Noise reduction (also called “smoothing” or “noise filtering”) is one of the most important processes in image processing is performed in third step and then moment invariant vectors are obtained in the last step. Signature matching system is implemented using MATLAB and ability of the system can be increased by using additional features in the input data set. Platform: |
Size: 8192 |
Author:shivshankar mishra |
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Description: matlab实现K-L变换,可用于图像去噪,地震资料去噪-K-L transform. It can be used in noise reduction and image enhancement Platform: |
Size: 1024 |
Author:田妮 |
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Description: Ultrasound Speckle Reduction Using Coded Excitation and Pulse Compression
Ultrasound images are riddled with system dependent imperfections called speckle (multiplicative noise). In ultrasonic imaging, detection of small lesions could be difficult because the effects of speckle may mask the visibility of these small targets. Therefore, the purpose of this project is to decrease speckle while maintaining some of the key salient features in the image. Images of tissue-mimicking phantoms will be created using Field II [1-2] in MATLAB (Natick, MA). Image quality metrics such as speckle signal-to-noise ratio (sSNR) [3] and contrast-to-noise ratio (CNR) [4] will be used to quantify improvements in image quality after various despeckling filters have been applied. Platform: |
Size: 487424 |
Author:Narendra |
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Description: 程序中包含了各种图像预处理的算法,去噪,边缘检测,分割等等,对于图像处理的初学者和科研人员都要很大的实用性-Program includes a variety of image preprocessing algorithms, noise reduction, edge detection, segmentation, etc., for the image processing for beginners and researchers have great practical Platform: |
Size: 352256 |
Author:sjx |
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Description: KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取,降维使用.-KPCA major noise in the image to have the application. You can also feature extraction using dimension reduction. Platform: |
Size: 2048 |
Author:lp |
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Description: 本书是“MATLAB应用技术”系列丛书之一,以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分,第1部分着重介绍了小波理论基础,包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等;第2部分重点说明了小波分析工具箱的详细使用方法,包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩,以及最新的信号和图像的提升小波变换等内容;第3部分主要介绍了小波工具箱的应用基础,以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。-This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas Platform: |
Size: 16481280 |
Author:zhoubo |
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Description: 基于MATLAB开发环境的以早期原始的TV算法为原理的图像降噪-Based on the original TV in the early principles of image noise reduction algorithm for MATLAB development environment Platform: |
Size: 2048 |
Author:Xuyueshu |
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