Description: 由Nam Phamdo编写的基于LBG的矢量量化程序，对于语音的压缩很有意义，也可以用在视频和图像的压缩中。-Nam Phamdo prepared by LBG-based vector quantization process, for voice compression meaningful, but also can be used in video and image compression. Platform: |
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Author:caruchi |
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Description: 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 image compression
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Author:mohammed |
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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: |
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Author:noopur |
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Description: also using vector quantization on image by using matlab program to achieve a good compression ratio Platform: |
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Author:mujeeb |
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Description: 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 seamlessly. On the sender side, except for
the blocks in the leftmost and topmost of the image, each of the
other residual blocks in raster-scanning order can be embedded
with secret data and compressed simultaneously by SMVQ or
image inpainting adaptively according to the current embedding
bit. Vector quantization is also utilized for some complex blocks
to control the visual distortion and error diffusion caused by the
progressive compression. After segmenting the image compressed
codes into a series of sections by the indicator bits, the receiver
can achieve the extraction of secret bits and image decompression
successfully according to the index values in the segmented
sections. Experimental results demonstrate the effectiveness of
the proposed scheme. Platform: |
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Author:bala |
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Search - image compression by vector quantization