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Image Compression
A collection of simple routines for image compression using different techniques.
图象压缩的不同方法
BTCODE:
Image compression Using Block Truncation Coding.
PYRAMID:
Image compression based on Gaussian Pyramids.
DCTC
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Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. Image restoration using medean filter, weiner filter with noise generator such as Gaussian noise, Salt and Pepper noise
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一系列展示图像压缩技术的源代码。包括有：使用块截断编码的图像压缩(Block Truncation)、基于高斯金字塔变换的图像压缩(Gaussian Pyramids)、基于离散余弦变换对图像压缩(Discrete Cosine Transform)、基于奇异值分解(SVD)的图像压缩(Singular Value Decomposition)。给出的代码还可以用于2D图像噪声消除。-Image Compression
A collection of simple routines
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去除图像噪声椒盐噪声高斯噪声实现图像处理-Salt and pepper noise removal of image noise, Gaussian noise, Image Processing
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本程序介绍了一种PPB滤波算法来去除图像中的加性高斯噪声，09年才提出来的新算法非常的高效，去噪效果相当好-This procedure describes a filtering algorithm to remove the image PPB in additive Gaussian noise, 09 years to put forward a new algorithm is very efficient, very good denoising effect
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This MATLAB .m file takes a "true" image, and an "observed" image that is the true image that has been noised with uncorrelated Gaussian noise. The function then performs Tikhonov regularization to clean up the defects in the image, with the Tikhonov
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Total Variation Denoising-TV denoising (scalar fidelity term) [ROF92]
Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white
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独立分量分析（ICA）以非高斯源信号为研究对象，在统计独立的假设下，对多路观测到的混合信号进行盲信号分离，已广泛应用于无线通信、生物信号提取、语音信号处理、图像处理和噪声抑制等领域。 -The independent component analysis (ICA) addresses non-Gaussian source signals under amusing independent each other, it performs blind separation for multi-c
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使用这个matlab程序，你可以对图像实现加高斯白噪声或者椒盐噪声-whth this matlab code，You can add Gaussian white noise or salt and pepper noise on the purpose image
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MATLAB的图像处理基础的资料\3
程序代码说明
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
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在数字图像处理中，对图像通过时域的快速傅立叶变换提取图像边缘的过程中，会出现噪声干扰，提取出一些对图像造成干扰的信息，使得提取效果较差。通过设计一个二维高斯滤波器降低噪声对边缘提取的干扰，从而得到较好的边缘提取效果。-In digital image processing, the image edge extraction process on the image through the fast Fourier transform of the time domain, there will
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extraction gaussian noise in image
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The spatially adapted total variation method
subproblems are solved by a locally uperlinearly convergent algorithm based on Fenchel-duality and inexact semismooth-Newton techniques.
The SATV Toolbox was written in MATLAB. It implements:
1)
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Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noi
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Generate the code for adding user defined Gaussian Noise (in dB) and
a. Filter out the same using average filter (generate function)
b. Determine the frequency plot
c. Determine error image, SNR and PSNR
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this code is a aplication for add gaussian noise in aimage
I using a color Image for myjob. it maybe create with a while noise in image
It writed in Matlab environment
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利用MATLAB中的GUI（图形用户界面），实现图像的频率位移变换、加入高斯噪声、图像平滑、离散余弦变换、图像反转，并设计了退出按钮-In MATLAB GUI (graphical user interface), to achieve the image displacement transducer frequency, adding Gaussian noise, image smoothing, discrete cosine transform, image reversal, an
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This software release consists of an implementation of the algorithm described in the paper:
B. K. Shreyamsha Kumar, “Image Denoising based on Gaussian/Bilateral Filter and its Method Noise Thresholding , Signal, Image and Video Processing, pp. 1-1
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J = imnoise(I,'localvar',IMAGE_INTENSITY,VAR) adds zero-mean, Gaussian
noise to an image, I, where the local variance of the noise is a
function of the image intensity values in I. IMAGE_INTENSITY and VAR
are vectors of the same size, and P
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in the existing technique gaussian denoising is performed to remove the noise in image. in the proposed technique rician denoising is performed to remove the noisy pixel
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