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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 dec
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L3_1.m: 純量量化器的設計(程式)
L3_2.m: 量化造成的假輪廓(程式)
L3_3.m: 向量量化器之碼簿的產生(程式)
L3_4.m: 利用LBG訓練三個不同大小與維度的碼簿並分別進行VQ(程式)
gau.m: ML量化器設計中分母的計算式(函式)
gau1.m: ML量化器設計中分子的計算式(函式)
LBG.m: LBG訓練法(函式)
quantize.m:高斯機率密度函數的非均勻量化(函式)
VQ.m: 向量量化(函式)
L3
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该算法将粒子对算法应用于图像矢量量化，是一个很实用的源码。-The algorithm will be applied to particle image vector quantization algorithm, is a very useful source.
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Author: This Code written By Dr. Faisel G. Mohammed
(Lecturer in Science college- Computer Dep.-Iraq: Email: fgmnjt@scbaghdad.edu.iq )
Purposes: for Bsc Students in Multimedia Lab.
To Learn Vector and scalar Quantization Algorithms in digital
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本文从矢量量化的角度对图像进行处理，程序经过验证，正确-From the perspective of vector quantization image processing, the program verified the correct
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用LBG算法对图像进行矢量量化，并实现了图像解码，图像解码视觉效果良好。-realized image vector quantization employed the LGB algorithm, and achieved the image decoding, image decoding visual effect is good.
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一种基于矢量量化快速编码的图像压缩方法 -A Fast Vector Quantization Encoding Method for Image Compression
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this function perform vector quantization on image by using matlab program -this function perform vector quantization on image by using matlab program ..
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this function perform vector quantization on the image by using matlab program -this function perform vector quantization on the image by using matlab program ..
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提出一种基于粒子群优化算法的图像矢量量化码书设计算法. 该算法引入粒子群的全局搜索策略 , 结合矢量量化码书设计方法 , 增加了算法解的随机性和多样性.-Proposed based on particle swarm optimization algorithm for image vector quantization codebook design algorithm. The introduction of particle swarm algorithm global search s
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ector quantization is a classical quantization technique from signal processing which allows the modeling of probability density functions by the distribution of prototype vectors. It was originally used for data compression. It works by dividing a l
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关于当前矢量量化的图像压缩方法 矢量量化图像压缩方法-Vector quantization for image compression method
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编程实现SOM网络矢量量化方法，进行图像数据压缩-Programming to achieve SOM network vector quantization method, image data compression
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LVQ即学习向量量化神经网络是一种用于训练竞争层的有监督学习方法神经网络，在模式识别和优化领域有着广泛的应用。本课题要求使用LVQ神经网络训练人脸的特征数据，得到模型对任一人脸图像的朝向进行识别。-Learning Vector Quantization LVQ neural network that is used to train competitive layer neural network supervised learning methods in the field of patt
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模糊聚类分析作为无监督机器学习的主要技术之一，是用模糊理论对重要数据分析和建模的方法，建立了样本类属的不确定性描述，能比较客观地反映现实世界，它已经有效地应用在大规模数据分析、数据挖掘、矢量量化、图像分割、模式识别等领域，具有重要的理论与实际应用价值，随着应用的深入发展，模糊聚类算法的研究不断丰富-Unsupervised fuzzy clustering analysis as the main machine learning techniques is the use of fuzzy t
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CODE FOR COLOR IMAGE COMPRESSION USING QUANTIZATION ALORITHM. VECTOR QUANTIZATION.
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propose a novel joint data-hiding
and compression scheme for digital images using side match
vector quantization (SMVQ) and image inpainting. The two
functions of data hiding and image compression can be integrated
into one single module seam
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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
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The Codebook Design of Image Vector Quantization
Based on the Firefly Algorithm
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Image Vector quantization
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