Description: 由matlab编写，带GUI界面。对bmp文件进行Vector Quantization。运行其中的VQ_GUI.m文件。
程序肯定是调试无误的。虽然比较耗时，但是最后能达到较好的图像效果和SNR。毕竟相比于VC，matlab运行较慢。
注意在点open打开了一个bmp文件过后，一定要先点VQ code，进行其他操作才能有效。-prepared by Matlab, with GUI interface. Bmp files to Vector Quantization. VQ_GUI.m running the paper. Debugging procedure is certainly unmistakable. Although it is quite time-consuming, but in the end will get better images and SNR. After all, compared to the VC, Matlab run slower. Attention to the point of open open after a bmp file, you must first point VQ code, other operations to be effective. Platform: |
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Author:王嘉宁 |
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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: |
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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: 实现对彩色图像的量化，也就是减少图像的颜色个数，是数字图像处理的一种。-Realize on the color image quantization, that is, to reduce the number of color images is a digital image processing. Platform: |
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Author:周兵 |
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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: |
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Author:shanyingying |
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Description: 一种二值图象无损压缩算法
南京理工大学电光学院
【摘 要】利用稀疏矩阵和差分编码对二色图像进行压缩保存，在通过图像的0,1矩阵建立，矩阵一维化，差分量化编码，写文件来压缩。在电子档案存储，CAD制图信息化存储有极高的应用价值。
【关键字】计算机 二值图像 稀疏矩阵 无损压缩 编码
-A binary image lossless compression algorithm for electro-optic Nanjing University of Technology and Engineering College 【Abstract】 using sparse matrix and differential coding of the second color image compression preservation, through the establishment of images 0,1 matrix, matrix of one-dimensional, differential quantization encoding and writing to compressed files. In the electronic file storage, CAD drawing information storage high application value. 【Keywords】 computer Sparse binary image lossless compression encoding Platform: |
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Author:胡赟星 |
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Description: 已知两个不同图像块亮度数据如下：
（1）分析DCT原理，采用DCT方法，编程并计算相应的DCT系数，分析系数分布特点。
（2）依据视觉特性分析量化表步长的分布特点，完成DCT系数量化。
（3）采用Z形扫描，实现输出数据的统计编码，形成Video stream。
（4）采用IDCT重建图像亮度数据，计算SAD大小，分析产生误差的原因及采用DCT进行数据压缩的原理。（ ）
（5）分别利用左上角1、3、6个系数重建图像，计算相应的SAD，并由此分析直流和低频系数的重要性。
-Known brightness of two different image data block is as follows: (1) Principles of analysis of DCT, the DCT method, program and calculate the corresponding DCT coefficient, analysis of distribution coefficients. (2) quantitative analysis based on visual characteristics of the distribution of long-form features step-by-step to complete the DCT coefficient quantization. (3) the use of Z-scan output data to achieve statistical encoding, the formation of Video stream. (4) the use of the reconstructed image brightness IDCT data to calculate the SAD size, analysis of the causes of errors and the use of DCT for the principle of data compression. () (5), respectively, a factor of 1,3,6 using the upper left corner of the reconstruction of images, calculating the corresponding SAD, and the resulting analysis of DC and the importance of low-frequency coefficients. Platform: |
Size: 1024 |
Author:张元 |
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Description: 将图像颜色量化为72种。可以做图像检索用的好东西-Images for 72 kinds of color quantization. Image retrieval can be done with good things! ! Platform: |
Size: 1024 |
Author:孟 |
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Description: 工程名为DctQuant，编程实现了一帧CIF格式4:2:0的YUV图像的H.264的整数变换、量化以及逆量化、逆变换。具体的功能表述如下：
1、首先按“打开YUV”按钮，选择一帧格式为CIF的4:2:0的YUV图像（默认的YUV图像的格式为4:2:0的CIF格式）。选择完成后，可以看到显示的输入图像。
2、输入QP值，QP是0到51之间的整数值，超出范围，会弹出对话框提示。QP默认为28。注意：当改变QP值为0时，即没有量化，则点击转换按钮显示出的PSNR值即为输入图像的PSNR值。
3、点击转换按钮，可以看到经过变换量化和逆量化逆变换过程以后输出的图像以及显示输出图像的PSNR值（保留小数点后6位）和默认4x4块号为0的原始各像素值、整数变换后的值、量化后、逆量化后、逆变换后的值。
4、可以手动改变块号，块号的范围为0-6335，超出范围会弹出对话框提示。然后单击“输入块号”按钮即可显示此块号对应的原始各像素值、整数变换后的值、量化后、逆量化后、逆变换后的值。
-Works entitled DctQuant, programming of a CIF format, 4:2:0 YUV images H.264 integer transform, quantization, and inverse quantization, inverse transform. Expression of specific functions are as follows:
1, first press the "Open YUV" button, select a format for the CIF of the 4:2:0 YUV image (the default YUV image format 4:2:0 CIF format). Selection is complete, you can see displayed in the input image.
2, enter the QP value, QP is an integer between 0-51 values out of range, will pop-up dialog box prompt. QP default is 28. Note: When changing the QP value is 0, that is not quantified, then click the convert button to show the PSNR values of the PSNR values shall be the input image.
3, click the Convert button, you can see through the transformation inverse quantization and inverse quantization output of the image after the transformation process and display the output image PSNR values (retention decimal 6), and the default 4x4 block No. 0 of the original values of each pixel , int Platform: |
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Author:王婉君 |
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Description: jpeg图像进行量化和反量化的matlab程序-jpeg images can be quantified and inverse quantization of the matlab program Platform: |
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Author:carol |
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Description: 彩色数字图像处理（很清晰）主要包含三部分内容：数字图像处理色彩基础、彩色图像压缩、色彩量化（涉及Clustering、Grouping、Merge等矢量量化的算法）。
-Main content: Color fundamentals for digital imaging Compression of color images Color quantization（include Clustering、Grouping、Merge method for vector quantization ） Platform: |
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Author:段玉霞 |
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Description: 本程序是用matlab写的，实现对图像进行二维预测与Lloyd-Max量化压缩。是有损压缩。附有程序所用的图片。-The program is written in matlab to achieve two-dimensional projections of images and Lloyd-Max Quantization. Is a lossy compression. With a program with pictures. Platform: |
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Author:zhrmsl |
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Description: 1 Haar Wavelets
1.1 The Haar transform
1.2 Conservation and compaction of energy
1.3 Haar wavelets
1.4 Multiresolution analysis
1.5 Compression of audio signals
1.6 Removing noise from audio signals
1.7 Notes and references
2 Daub echies wavelets
2.1 The Daub4 wavelets
2.2 Conservation and compaction of energy
2.3 Other Daubechies wavelets
2.4 Compression of audio signals
2.5 Quantization, entropy, and compression
2.6 Denoising audio signals
2.7 Two-dimensional wavelet transforms
2.8 Compression of images
2.9 Fingerprint compression
2.10 Denoising images
2.11 Some topics in image processing
2.12 Notes and references
3 Frequency analysis
3.1 Discrete Fourier analysis
3.2 Definition of the DFT and its properties
3.3 Frequency description of wavelet analysis
3.4 Correlation and feature detection
3.5 Object detection in 2D images
3.6 Creating scaling signals and wavelets
3.7 Notes and references Platform: |
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Author:Rakesh |
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Description: One of the major drawbacks of the block-based DCT compression methods is that they may result in visible artifacts at block boundaries due to coarse quantization of the coefficients. -Simulation results show that the proposed algorithm significantly reduces the blocking artifacts of still and video images as judged by both objective and subjective measures. Platform: |
Size: 348160 |
Author:huyuan |
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Description: Implementation of quantization for different images in matlab-Implementation of quantization for different images in matlab Platform: |
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Author:irfan khan |
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Description: 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 desired approach of coding.-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 desired approach of coding. Platform: |
Size: 252928 |
Author:Mustafa |
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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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Search - quantization of images