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- W1489500787 abstract "In this paper, a new fast transformed vector quantization (TVQ) algorithm with static pattern clustering is proposed for coding of color images. To speed up the design process of VQ with better compression ratio, the features of transform coding and VQ are combined in this work. The transformed training set is obtained using integer based orthogonal polynomials transform with reduced computational complexity. The proposed method generates a single codebook for all the three color components, because of the inter-correlation property of the proposed transformation. The proposed algorithm reduces codebook construction time by clustering the static input patterns and eliminates redundant computations at the successive iterations of codebook optimization phase of LBG codebook training process. The computation time is also reduced by choosing only non homogeneous vectors for codebook initialization from the large volume of transformed input training set. The experiments are conducted and compared with existing technique." @default.
- W1489500787 created "2016-06-24" @default.
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- W1489500787 date "2010-01-01" @default.
- W1489500787 modified "2023-09-30" @default.
- W1489500787 title "FITVQSPC: Fast and Improved Transformed Vector Quantization Using Static Pattern Clustering" @default.
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- W1489500787 doi "https://doi.org/10.1007/978-3-642-17641-8_19" @default.
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