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Vector quantization of images based on Peano scanning

机译:基于Peano扫描的图像矢量量化

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Abstract: VQ (Vector Quantization) reduce the bit rate by exploiting the correlation in the data. To improve the performance of a compression algorithm based on VQ, this paper introduced a more efficient scanning method, i.e. Peanoscanning, which maintains better correlation in 2D data than that of raster scan, and then a hierarchical VQ based on the characteristics of image data is presented, at last we reduced the blocking effect by a smoothing algorithm.!6
机译:摘要:VQ(矢量量化)通过利用数据中的相关性来降低比特率。为了提高基于VQ的压缩算法的性能,本文介绍了一种更有效的扫描方法,即Peanoscanning,该方法在2D数据中保持比光栅扫描更好的相关性,然后根据图像数据的特征进行分层VQ最后,我们通过平滑算法降低了阻塞效果。!6

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