Abstract | ||
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In VQ based image compression technique has three major steps namely (i) Codebook Design, (ii) VQ Encoding Process and (iii) VQ Decoding Process. The performance of VQ based image compression technique depends upon the constructed codebook. A widely used technique for VQ codebook design is the Linde-Buzo-Gray (LBG) algorithm. However the performance of the standard LBG algorithm is highly dependent on the choice of the initial codebook. In this paper, we have proposed a simple and very effective approach for codebook initialization for LBG algorithm. The simulation results show that the proposed scheme is computationally efficient and gives expected performance as compared to the standard LBG algorithm. |
Year | DOI | Venue |
---|---|---|
2011 | 10.5121/ijcsea.2011.1407 | International Journal of Computer Science, Engineering and Applications |
Keywords | Field | DocType |
pattern recognition,image compression | Time domain,Data set,Pattern recognition,Linde–Buzo–Gray algorithm,Computer science,Weibull distribution,Algorithm,Maximum likelihood,Software,Artificial intelligence,Statistical hypothesis testing,Sequential probability ratio test | Journal |
Volume | Issue | Citations |
abs/1109.0090 | 4 | 1 |
PageRank | References | Authors |
0.37 | 4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Arup Kumar Pal | 1 | 64 | 14.41 |
Anup Sar | 2 | 1 | 0.37 |