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: 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: 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 large set of points (vectors) into groups having approximately the same number of points closest to them. Each group is represented by its centroid point, as in k-means and some other clustering algorithms.
Digital libraries not only consist of text data, but also speech and image data. To compress speech data techniques such as vector quantization (VQ) are used. Platform: |
Size: 6144 |
Author:noopur |
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Description: also using vector quantization on image by using matlab program to achieve a good compression ratio Platform: |
Size: 228352 |
Author:mujeeb |
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Description: Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.-Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc. Platform: |
Size: 5120 |
Author:noufal |
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