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用小波变换的方法进行图像压缩、去噪、分解、合成的matlab程序。-Method using wavelet transform for image compression, denoising, decomposition and composition of the matlab program.
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利用小波变换进行图像去噪处理,包括各种软硬阈值的选取函数,Using Wavelet Transform for Image Denoising, including a variety of select hard and soft threshold function
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利用小波变换进行图像去噪,计算去噪图像的峰值信噪比,简单容易操作。-Image denoising using wavelet transform, image denoising PSNR calculation, simple and easy to operate.
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利用小波变换的去噪代码,用于图像处理,这是毕业设计的程序-Denoising using wavelet transform code for image processing, which is designed for graduate programs
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本程序可以实现利用小波变换对图像和数字信号的进行去噪-This procedure can be achieved using wavelet transform for image and digital signal Denoising
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图像的小波变换,用C++代码编程实现。用于小波图像处理的,如去噪、融合之前。-Image wavelet transform, using C++ Code programming. For wavelet image processing, such as denoising, before integration.
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图像的小波去噪,给灰度图像加上一定量的高斯噪声,再采用小波变换的方法去噪.-Wavelet Denoising image to gray image coupled with a certain amount of Gaussian noise, and then using the method of wavelet transform de-noising.
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采用小渡变换技术对遥感图像进行去噪、增强 在此基础上利用数学形态学的
方法提取图像中的人造帚物-Using wavelet transform technique for remote sensing image denoising, enhancement on this basis the use of mathematical morphology to extract the image of man-made objects broom
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用平移变换平移法(cycle_spinning)消除gibbs效应。小波模极大值用于边缘提取。-Denoising program using wavelet transform and cycle-spinning.Edge detection for 2-D image using wavelet maxima.
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利用小波变换进行图像去噪的程序 基于MATLAB的-Image denoising using wavelet transform procedures for MATLAB-based
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使用小波变换进行图像去噪,对得到的高频部分利用软阈值和硬阈值法去噪-Image denoising using wavelet transform, the high frequency part by the use of soft threshold and hard threshold denoising
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这是在matlab编程环境下,用小波变换实现的图像去噪处理程序。本程序可以直接加载电脑中的图片而不是使用matlab中自带的图像数据。适合小波变换去噪处理的初学者。-This is a programming environment in matlab, using wavelet transform for image denoising process. The computer program can load images directly instead of using image
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用matlab实现的基于小波变换的图像增强去噪--achieved using Matlab based on wavelet transform image enhancement and denoising
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通过小波变换对图像信号进行分解,去噪,压缩再重构,得到处理后的图像-Images using wavelet transform signal decomposition, denoising, compression and then reconstructed to obtain the processed image
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,对掌纹图像去噪主要采用低通滤波方法或邻域平均滤波方法,这两种方法可以有效地抑制噪声,但同时也滤除了一些边缘信息,而且还会发生一定程度的边缘模糊现象。因此这两种方法适合于提取掌纹中的主线(掌纹中最粗最长的若干条)特征,而不适合于需要保留更多边缘信息的特征提取。小波变换是目前比较流行的一种信号处理方法。-Palmprint image denoising using low-pass filtering method or the neighborhood average filter metho
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利用小波变换对图像进行去噪处理,并比较各种方法-Using wavelet transform for image denoising and compare various methods
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image denoising using wavelet transform
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利用小波包变换对一个二维含噪图像进行消噪处理-Using wavelet packet transform to a two-dimensional image with noise denoising
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利用小波变换方法对图像去噪,去噪效果相对较好。-Using wavelet transform method for image denoising, denoising effect is relatively good.
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利用小波变换实现图像处理,包括图像平滑,去噪,边缘检测,运算,等等(Using wavelet transform to achieve image processing, including image smoothing, denoising, edge detection, computing, and so on)
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