Description: 图像平滑主要是为了消除噪声。噪声并不限于人眼所能看的见的失真和变形，有些噪声只有在进行图像处理时才可以发现。图像的常见噪声主要有加性噪声、乘性噪声和量化噪声等。图像中的噪声往往和信号交织在一起，尤其是乘性噪声，如果平滑不当，就会使图像本身的细节如边界轮廓、线条等变的模糊不清，如何既平滑掉噪声有尽量保持图像细节，是图像平滑主要研究的任务。-image smoothing is mainly to eliminate noise. Noise is not confined to the human eye can see, see the distortion and deformation, and some noise only when carrying out image processing can be found. The common image noise is the main additive noise, multiplicative noise and quantization noise. Image noise and signal often intertwined, especially multiplicative noise, if improperly smooth, images will make their own profile details such as borders, such as changing lines blurred, Smoothing out how to both noise as possible image details of the image smoothing main task. Platform: |
Size: 271256 |
Author:裴俊勇 |
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Description: 在MATLAB中编写实现图像的不同级别小波分解算法；2选择合适的小波基；3对经典的几幅黑白和彩色图像进行DWT变换；4实现零树、基于塔式网格矢量量化、基于LBG算法、基于标量量化等小波变换编码；5得到分析比较结果。达到的目的：1综合训练学生编程的能力；2对高数、计算方法、程序设计、数据结构、算法、数字图像处理等课程的复习和运用；3可培养学生的算法设计和分析能力。-in MATLAB prepared to achieve different levels of image wavelet decomposition algorithm; Choice of two small Porgy; Three pairs of classic pieces of black-and-white and color images DWT; Four zero tree, grid-based Tower vector quantization, LBG-based algorithm, based on the scalar quantization Wavelet Transform Coding ; 5 analyzed the results of the comparison. The purpose : a comprehensive training program students; Two pairs of the high number and the method of computation, programming, data structures, algorithms, digital image processing and review of the curriculum used; Three students can develop the algorithm design and analysis. Platform: |
Size: 34727 |
Author:aa |
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Description: 在MATLAB中编写实现图像的不同级别小波分解算法；2选择合适的小波基；3对经典的几幅黑白和彩色图像进行DWT变换；4实现零树、基于塔式网格矢量量化、基于LBG算法、基于标量量化等小波变换编码；5得到分析比较结果。达到的目的：1综合训练学生编程的能力；2对高数、计算方法、程序设计、数据结构、算法、数字图像处理等课程的复习和运用；3可培养学生的算法设计和分析能力。-in MATLAB prepared to achieve different levels of image wavelet decomposition algorithm; Choice of two small Porgy; Three pairs of classic pieces of black-and-white and color images DWT; Four zero tree, grid-based Tower vector quantization, LBG-based algorithm, based on the scalar quantization Wavelet Transform Coding ; 5 analyzed the results of the comparison. The purpose : a comprehensive training program students; Two pairs of the high number and the method of computation, programming, data structures, algorithms, digital image processing and review of the curriculum used; Three students can develop the algorithm design and analysis. Platform: |
Size: 34816 |
Author:aa |
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Description: 提供了关于图像抽样、量化、均匀化、规定化及获得图像位面图的程序-provided on the image sampling, quantization, homogenization, and provides access to images of surface spaces of the processes Platform: |
Size: 2048 |
Author:王严 |
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Description: 使用矢量量化技术实现对图像的加密以及解密-The use of vector quantization technique for image encryption and decryption Platform: |
Size: 53248 |
Author:lauren |
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Description: 基于标量量化的图像多描述编码（MDSQ）是提高信息传输质量的一种有效方法,本程序利用Matlab 工具在处理矩阵上的灵活性,实现了MDSQ 算法, 并通过解码后的图像证明该方法良好的多描述性能。-Scalar quantization-based image multiple description coding (MDSQ) is to improve the quality of information transmission of an effective method, the procedures for the use of Matlab tool flexibility matrix treatment, realized MDSQ algorithm, and through decoded images show that the method good performance of multiple description. Platform: |
Size: 297984 |
Author:shanyingying |
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Description: 2D-DCT 压缩图像后，通过QPSK,AWGN信道编码传输后，IDCT解压缩回原始图像，适用于任何图像-Using DCT to compress the orginal image, I use zigzag program, quantization, dct compression, then change the vector to bineary bit to pass through the QPSK channel. And from the binary array, I use IDCT to reconstructe the orignial image. working perfectly. Platform: |
Size: 4036608 |
Author:Jackie |
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Description: Matlab矢量量化图像压缩程序
矢量量化VQ，是一个常见的压缩技术。Linde, Buzo, and Gray 提出了基于
训练序列的Vector Quantization (VQ)算法。-Matlab vector quantization image compression procedures for vector quantization VQ, is a common compression technology. Linde, Buzo, and Gray proposed based on training sequence of Vector Quantization (VQ) algorithm. Platform: |
Size: 47104 |
Author:adu |
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Description: 基于MATLAB实现图像线性量化的源码，通过输入量化参数实现不同等级量化-Based on MATLAB to achieve linear quantitative image source, by entering the quantization parameters to achieve different levels of quantization Platform: |
Size: 1024 |
Author:wshrf |
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Description: Purpose of image processing
Processing of image data for storage, display & transmission
Improvement of pictorial information for Human Perception
Improvement of pictorial information for Machine Perception
Typical application areas
Television DIP brightness, contrast, hue & noise adjustment
Satellite DIP Remote sensing, Climate, Geology, Land/Sea resource
Medical DIP Ultra Sound, MRIPECT Scans, XRays
Robot Control Automatic inspection, Unmanned operations-Autonomous Vehicle (Mars Rover)
Visual Communications: Video-coding transmission conferencing, Tele-conferencingshopping
-Purpose of image processing
Processing of image data for storage, display & transmission
Improvement of pictorial information for Human Perception
Improvement of pictorial information for Machine Perception
Typical application areas
Television DIP brightness, contrast, hue & noise adjustment
Satellite DIP Remote sensing, Climate, Geology, Land/Sea resource
Medical DIP Ultra Sound, MRIPECT Scans, XRays
Robot Control Automatic inspection, Unmanned operations-Autonomous Vehicle (Mars Rover)
Visual Communications: Video-coding transmission conferencing, Tele-conferencingshopping
Platform: |
Size: 2407424 |
Author:Suresh |
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Description: lena图像的量化，包括简单量化，以及利用lloydmax进行量化，运行通过！-lena image quantification, including simple to quantify, and the use of lloydmax quantified, run through! Platform: |
Size: 300032 |
Author:张超 |
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Description: 矢量量化的方法实现图像压缩，并将重建图像与原图像做出对比，非常详细-The vector quantization method of image compression, and the reconstructed image and the original image to make a comparison, very detailed Platform: |
Size: 205824 |
Author:汪小 |
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Description: Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB
In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing Map Neural Network. The implemented code, uses RGB and HSV color coding, to perform the clustering task, and user can select desired approach of coding. Platform: |
Size: 248832 |
Author:amardz |
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Description: The feature vector of
an image can be derived from the histograms of its color
components and finally can set the number of bins in the color
histogram to obtain the feature vector of desired size. Thus the
grid code of an image is obtained through the quantization of the
feature vector derived from the histogram of the desired color
component of the image. In order to have similar features of the
images the grid code must be same for all Images in the grid Platform: |
Size: 2532942 |
Author:msujikumar87@gmail.com |
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Search - quantization of image