IMAGE COMPRESSION USING LBG ALGORITHM
by AARATHY M
20 Mar 2006
(Updated 21 Mar 2006)
No BSD License
Vector Quantization (VQ), a well-known compression technique, which has been widely used ...
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| File Information |
| Description |
Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of vectors, generally referred to as training set, is needed to be processed. Usually, vectors sampled from a group of typical signals to be encoded altogether construct a training set T={x1,x 2,?.x M} ,where xi represents a sampled training vector and M represents the size of training set which is far greater than the codebook size N. |
| Required Products |
Image Processing Toolbox
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| MATLAB release |
MATLAB 6.1 (R12.1)
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| Zip File Content |
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| Other Files |
findweight.m, LVQ.M, LVQCODE.M, lvqdecode.m, main.m, parameter.MAT, PSNR.M, testlvq1.m, TRAINLVQ.M, codebook.bmp
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