Quadtree-segmented image coding schemes using vector quantization and block truncation coding
Quadtree-segmented image coding schemes using vector quantization and block truncation coding
复制标题
使用矢量量化和块截断编码的四叉树分割图像编码方案
DOI：
10.1117/1.602384
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发表时间：
2000
影响因子：
1.3
通讯作者：
Chinchen Chang
中科院分区：
文献类型：
--
作者：
Yu;Chinchen Chang
针对多媒体应用，提出了三种新颖的图像压缩方案。该方案结合了矢量量化和基于四叉树分割的块截断编码的优点。提出了一种新的矢量量化方案--亚采样矢量量化(SVQ)，并将其应用于新方案中。在这些方案中，利用了相邻图像块之间的空间相关性和可变大小图像块的一致性。仿真结果表明，新方案在低码率下获得了较好的编码性能和主观的图像质量。
Three novel image compression schemes are proposed here for multimedia applications. The schemes are designed to combine the advantages of vector quantization and block truncation coding based on quadtree segmentation. A new vector quantization scheme, called subsampling VQ (SVQ), is proposed and used in the new schemes. The spatial correlation between neighboring image blocks and uniformity in variable-sized image blocks is exploited in these schemes. Simulation results show that the new schemes have succeeded in achieving better coding performance with subjective image quality at low bit rates.