Quadtree-segmented image compression method using vector quantization and cubic B-spline interpolation
Quadtree-segmented image compression method using vector quantization and cubic B-spline interpolation
复制标题
使用矢量量化和三次B样条插值的四叉树分割图像压缩方法
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Cy Chung
中科院分区：
文献类型：
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作者：
Chinchen Chang;J. Chuang;Cy Chung
摘要提出了一种基于四叉树的混合图像压缩方法，该方法涉及矢量量化和三次b样条插值两种技术。传统的基于块的图像压缩方法，如VQ、块截断编码等，没有考虑相邻块之间的关系，导致压缩率受到限制。换句话说，如果采用四叉树技术和VQ方法，以及三次b样条插值，将相邻块之间的关系包含在方案中，这正是本文所尝试的，可以显著提高图像压缩的性能。实验结果表明，与基于分块的图像压缩方法相比，该方法在压缩率方面取得了令人满意的结果，同时保持了可接受的图像质量。
Abstract A novel hybrid image compression method based on quadtree is proposed, involving two techniques: vector quantization (VQ) and cubic B-spline interpolation. Traditional block-based image compression methods, such as VQ, block truncation coding and others, do not take the relationship of neighbouring blocks into consideration, which results in a limit to their compression rate. To put it another way, if the relationships between neighbouring blocks can be included in the scheme by application of the quadtree technique and the VQ method, as well as cubic B-spline interpolation, which is exactly what is attempted in this paper, the performance of image compression can be improved significantly. According to the experimental results, this method can achieve satisfactory results in terms of the compression rate, while maintaining an acceptable image quality compared with block-based image compression methods.
影响因子：
5.4
作者：
W. B. Pennebaker;Joan L. Mitchell
通讯作者：
W. B. Pennebaker;Joan L. Mitchell